Abstract
Smart structures of 4D printing are perhaps interdisciplinary research area with significant development and applicability future. The cornerstone of 4D printing is smart materials. When a stimulus is put in front of this structure, it changes into a different structure. This article initially provides a succinct insight of the aforementioned 4DP: SMs-SSs: 4D printing (4DP) technology imminent enlargements of smart material’s (SMs) prospective to physique smart structure (SSs). Investigation into 4D printing has pulled in phenomenal enthusiasm. The research work of 4DP: SMs-SSs has stimulated promising future. The paper discusses smart materials and their potential towards mainstream 4D printing for smart constructions (4DP: SMs-SSs). Cursory research write-up on smart materials associated 4D printing approaches to process them based on adaptability to stimuli, fabrication, control mechanisms, multi physics modeling, and existing as well as emerging functionalities. Indeed, innovative structural initiatives could perhaps inspire new paradigms for stimulate positive structures. Novelty structures are being thoroughly researched, and new ideas will be incorporated. Programmability, reactivity toward and adaptability to their circumstances, and automation are all functionality of 4D-printed items. The article’s conclusion is that 4DP: SMs that can create intelligent/smart structures (SSs) will even trigger a massive era of construction material. This article shows an insight into how quickly technology is changing, how some researchers and scholars are figuring out what it can do, and how engineers could use the ideas. The adoption of smart materials will assist in resolving the problem to a greater extent. 4D printing relies on shape memory alloys/polymers (SMAs/SMPs) as so forth organic materials. Imminent enlargements of smart materials prospective to physique smart structures are still being experimented with by scientists and engineers.
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1 Introduction
Scientists and engineers have been developing new smart materials besides existing technologies. Smart materials and structures are promising for lifetime efficiency and reliability. Many materials have evolved in the past 20 years than in human history. The earliest actual manufacturing in human history took place in the Stone Age. Six main manufacturing methods have evolved over human history. Stone tools were made by cutting, changing the mechanical characteristics of the stone, joining, coating, molding, and forming. Technological progress improved manufacturing speed and efficiency. Material innovation continues at a “accelerated pace,” [1] which he credits to 1980s military and NASA research. In 1932, gold-cadmium was the first smart material observed. And 1938 was the first transition phase in brass (copper-zinc). Beehler and associates discovered the alteration and shape memory mechanism in nickel-titanium in 1962 [2, 3]. Their lab inspired the term nitinol. After nitinol, more shape memory alloys were discovered. The research’s importance lies in its research process on smart materials, their new enhancement prospects, and associated behavioral patterns as well as features and functions. As of 2022, additive manufacturing and 3D printing are interchangeable since the technology’s accuracy, repeatability, and material diversity have improved enough to make some 3D printing processes an industrial production technology. As a result, 3D printing is regarded as one of the most revolutionary developments in contemporary industry. Manufacturers and researchers can now produce sophisticated shapes and structures that were previously unattainable with standard production methods. A 3D printer that operates in three dimensions can manufacture three-dimensional structures. To print a 4D object, you do most of the same things you would do to print a 3D object. The key distinction is that 4D printing technology makes use of programmable materials that change when exposed to water, light, or heat. Although 3D and 4D printings are promising technologies, there are a number of problems that prevent them from reaching their full potential.
To promote an integrated work that combines manufacturing designers and engineers. AM of smart materials and structures has gained popularity recently. The entire article of 4DP: SMs-SSs mainly concerns in the following distribution (part A and part B):
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Part A: the research aims to examine technicalities, characterizes, and categorizes smart materials to physique smart structure applications in different fields. (1) What capabilities are offered by smart materials? And formulated the shape-changing laws for 4D-printed structures. (2) Technology hierarchy for smart materials correspondence for recent devolvement and future prospective. (3) As a potential material for 4D printing, heat- and light-reactive smart materials are being researched.
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Part B: material-related key concept involves material-based design problems. The second issue uses material phenomena and principles. A third concern involves materials over structure. Finally, the problem arises when both the structure and its materials perform functions.
In a teleological approach, finding the perfect materials, stimulation, and amplitude is complicated, so it is not yet possible to create a 4D object with a certain functionality. Last but not least, this field of study is still prehistoric. 4D printing is technically feasible since of innovative materials, sophisticated printers, deformation processes, and basic arithmetic [4]. It possesses all the necessary abilities, including the capacity to be stimulated, and it can be folded, stretched, and twisted into various shapes.
1.1 Fundamental concepts
The ISO-ASTM 52,900:2017 [5, 6] standard describes seven AM methods that are implemented in AM technology. The goal is to have a deeper understanding of the fundamental concepts and technical terms used in 4D printing. This paper builds on aforementioned work on additive manufacturing ontologies, including ISO TC261 and ASTM International F42’s efforts to standardize terminologies [6], NIST’s work [7], and other publications [8, 9]. Essential preexisting ideas related to 4D printing are presented in this section4DP. Essential preexisting 4D printing concepts are discussed. The concept of “4D printing,” which refers to the capability of additively manufactured objects to change shape over time, was initially put forth by an Massachusetts Institute of Technology (MIT) research team [10, 11]. Components can self-fold and restructure without human intervention [12, 13]. This self-folding phenomenon is related with shape change behavior, where 4DP structures can morph over time. The three main categories for the shape memory effect are as follows: a one way shape memory effect [14], a two way shape memory effect [15], in addition to multiple shape memory effect [16]. Several researchers have constructed “bistable” structures with two stable states that can be switched mechanically. The bistable structures do not need any extra energy to stay in their stable states. They can be used as mechanical switches or to enhance the ability to activate and control motion [17]. Figure 1 shows a diagram depicting the categorization, historical evolution, and technical characteristics of AM technology. According to the development history of AM components, it is divided into structural components, functional components, intelligent components, vital organs, smart objects, etc. It can be seen from Fig. 1 that with the further divergence of manufacturing thinking, the intelligentization, vitalization, and awareness of components in the manufacturing field are inevitable development trends. The concepts of “5D printing” and “6D printing” have also entered the AM family. Since then, AM is no longer synonymous with 3D printing but includes higher dimensions, more aspects, and deeper meanings. There have been laboratory research results in 5D printing. Although 6D printing is only a newly proposed concept and has not yet entered the substantive research stage, as the research of 4D printing technology gradually deepens, it indicates the possibility of higher-dimensional printing methods.
2 Imminent enlargements of smart materials and structures
Once a substance is turned into an item, it stays that way until unpredicted situations or aging. Nature has various sensitive and reactive materials, whether in the animal or plant realm. Essentially, these are non-static materials compared to what we are accustomed to. Solar cells, high-strength fibers, multi frequency radars, and camouflage coverings are all inspired by plant leaves. Let us identify several of them.
2.1 Imbuing static object (man-made object) with the capability of evolving
There are numerous methods for endowing objects with such capabilities, and 4D printing is likely to be among them. Most man-made products are designed to have a single physical state (usually kinematic) to meet consumer needs and expectations. Static objects are insensitive to changes in their environment. Figure 2a, b, and c depict changeable items.
The sofa converts into bunk beds (Fig. 2a). The ottoman portion of the sofa bed that converts can be used in its non-bed state and does not require any assembly. To suit your diverse and flexible needs, it may be quickly and simply transformed into a sofa, lounger, or bed. Heat-sensing, color-changing spoons with temperature indication are shown in Fig. 2b. Tablespoon head elastomers contain materials that change color when the temperature of the food goes above 40 °C. When this happens, the flexible part of the spoon will turn white, indicating that the food is too hot to eat. This is very safe and easy to use. Shape-shifting wheel and tire is shown in Fig. 2c. Ackeem Ngwenya, a recent Royal College of Art graduate, designed a shape-shifting wheel and tire. Industrial designer created tire with two rubber skins. The base is flexible, and the outer is rigid.
2.2 Smart structures are found in nature
Smart structures can perceive, make decisions, and act; these skills should increase exploration success in harsh environments. A fractal’s structure is invariant at different scales. Structure modeling can benefit from fractals. Figure 2d shows such natural structures. Remarks: manufacturing such structural features was currently not conceivable. Another pattern of Chinese lantern plants, Thigmonastery, and the like that is extremely intriguing [19]. The chameleon’s skin is an example of a responsive material or organism. Its hue changes nearly instantly depending on its mood and the color of its environment as shown in Fig. 2e. Remarks: the chameleon as a creature is a sensitive, color-changing material.
Summary: concerning the practicality of such patterns of behavior, it is evident that they cannot serve as weight bearers like normal material does. In the meanwhile, they accomplish a goal.
Materials, such as the imbuing static object (man-made object) with the capability of evolving and smart structures, are found in nature aforementioned illustrations be situated called smart materials. Manufacturing is reaching a milestone. Let us explain step by step.
2.3 Additive manufacturing techniques
This section describes ASTM-standard 3D printing procedures. Figure 3 shows their significance, working mechanism, aspects, and limitations. Due to the great variety of 3D printing techniques and materials accessible, many of them are frequently useful.
In this portion, the article provided an extensive research from the state-of-the-art literature, clarifying key terms and concepts. Usually, there are three steps to 3D printing: designing the object model, making the model with a 3D printer, and finishing. The following are the main AM printing technology’s basic stages. The basics begin with computer-aided design (CAD), STL (Standard Tessellation Language) file manipulation, and machine transfer; the next step is to set up the desired machine and begin the building process; then, the final step is a product post-processing. In Fig. 4, the 3D AM portion a layer-by-layer stacking process is divided into three phases. In the first phase to begin commercial software, SolidWorks, Pro/Engineer, and Materialise 3-Matic create the entity model. In the second step, a model is imported into slicing software for layering and slicing [22, 23]. Finally, a layered data file is loaded into a 3D printer, which builds the parts layer by layer from the ground up. The geometric design freedoms that can be obtained using 3D AM make it a very exciting technology for the future of manufacturing. To print structural components and outcomes often within a few hours from a CAD model. CAD generates a model’s digital part design. The design is then sent to a 3D printing machine to be made real.
Existing mathematical models, enhanced categorization of stimuli-responsive materials, and refined stimuli will improve 4DP control. Figure 4 shows the main 4DP components, including the 3D AM process, interaction mechanism, mathematical modeling, stimuli-responsive material, and result-influencing stimulus [20, 21, 24]. The findings of Momeni and colleagues [14] suggest that this represents a four-step cycle. An external force applied to the structure at a high temperature causes deformation in the first case; in the second approach, the deformation (strain and constraint) is then sustained. Third, due to the low temperature, the structure is unloaded, resulting in the achievement of the required shape. Fourth, the structure is capable of recovering its natural shape.
3 4D printing (stated smart materials and structure)
In 2013, the interpretivist approach concerning 4D printing was initiated (TED speech milestone). Using shape memory effect, printed active composites (PACs) turned a printable material towards a complex structure (SME) [25]. Among fundamental properties of 4D printing is that it is not static and may alter over time using a computer-programmed prompt. The term “4D printing” can be interpreted in a number of different ways. Initially, 4D printing could just be a more advanced form of 3D printing [26,27,28]. Elucidates in precise detail, the 4D printing is the breakthrough of a 3D-printed structure over time being subjected by heat [29, 30], light [31, 32], water [27, 33, 34], and pH [35], among others. Combining a 3D printer towards a smart material and perhaps a highly structured design results in 4D printing [36,37,38]. Such 4D-printed materials are ideal for manufacturing toys [39], robots [40], lifters[40], microtubes [41], and lockers [42] attributed to their capabilities. 4D printing involves applying a stimulus to a smart material utilizing while an AM process, an appropriate interaction mechanism and mathematical modeling, produces a 4D-printed structure. Three principles essentially control the ability among all 4D-printed structures to change shape were developed by Momeni and colleagues [43]. Insight into the physics that allows 4D-printed structures to change shape is provided by these principles. These laws are as follows:
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First law: in accordance with the first law, the relative intensification of both active and passive materials is responsible towards the shape-changing phenomena (except curling, curling, twisted, and bending, among others) of multi-material 4D structures.
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Second law: as stipulated by the second law, the ability of all multi-material 4D structures to change shape is based on four physical factors: mass propagation, thermal expansion, molecule transformations, and sustainable growth. All of the aforementioned capabilities have the potential to contribute positively in relation toward the relative growth that takes place concerning active and passive materials when a stimulus is applied, which eventually results in shape morphing.
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Third law: according to the third law of 4D printing, the time-varying shape-shifting in practically multi-material 4D-printed structures has two time constants. This law indicates that the shape-shifting can occur in either direction. This law describes the time-dependent shape morphing behavior of practically all multi-material 4D-printed structures. This rule was developed in an effort to characterize the behavior of almost all multi-material buildings that were constructed utilizing 4D technology throughout the course of time and how that behavior changed. Specifically, this law was designed to describe how the behavior changed. Depending on the stimuli and the material used for 4D printing, these constants can be equal, enormous, or even vanish with regard to each other. As a consequence of this work, fourth dimensional bi-exponential formula created, which can be included into software and hardware for application in the modeling of 4D structures in the future.
Structure key properties: Shape fixity, shape recovery, and repeatability are three of the key properties that are frequently used to characterize the characteristics of 4DP parts that are attributed to the competency of the components. For a “shape memory polymer” (SMP), the “shape fixity” refers to the degree to which a transient shape is fixed [44]. The shape fixity ratio \((Rf)\) is the capacity of a 4DP continuation to carry out a mechanical deformation carried out since the programming method in equation (Rf).
The computation is based on the ratio of strain \({\varepsilon }_{unload}\) obtained after cooling to strain \({\varepsilon }_{load}\) recorded above \({T}_{g}\) [45].
“Shape recovery” is a polymer’s capacity to retain its native structure after being deformed [45]. According to Eq. 2, the “shape recovery ratio” (\({R}_{r}\)) is the capacity of a material to retain its stable shape. This represents the ratio of the deformation step’s beginning strain (\({\varepsilon }_{i}\)) to the recovery step’s final strain (\({\varepsilon }_{f}\)).
The amount of time required for a material to reach its recoverable strain, which is denoted by the variable (\({T}_{r}\)) in Eq. 3, is referred to as the “shape recovery time” (\(t\)). The maximum shape recovery rate is indicated \({V}_{m}\), recovery deflection by \({S}_{i}\), and time interval by \(t\) [46,47,48].
Calculating and forecasting the distribution of materials and the structure necessary to accelerate forth desired form change requires the use of mathematical modeling. Twelve types of deformation are included in the shape change behavior stated in the earlier section [20, 49].
4 Rapid advancement in 3D printing of smart structures
Propagating the availability and use of smart structures requires significant effort in the areas of material improvement, structural design, and production. Smart structures have come a long way in recent years, and these improvements are noteworthy. The contemporary needs and projected future direction for 3D printing technologies and smart structures are indeed acknowledged. Sensitive materials in smart structures adapt dynamically to environmental stimuli to perform specified functions [50]. In reaction to environmental factors (e.g., heat [34, 51], electromagnetism [52, 53], light [54, 55], pH [56], ion concentration [57], sound [58], and mechanical force [59, 60]), common intelligent structures enable programmable deformations. Soft robotics [61,62,63,64], aerospace engineering [65], electronics [66,67,68], and biomedicine [69,70,71] are among the fields to which techniques and technologies that take use of the possibilities offered by smart structures have been applied. Therefore, authors concentrate on the applications of functional polymers and composite materials, suitable 3D printing techniques for smart structures.
4.1 Temperature approachable smart structures
A temperature reactive smart structure is one that adjusts its behavior in response to shifts in temperature in order to carry out the functions that were previously specified. However, like traditional thermostats, sophisticated devices are typically constructed utilizing multilayer architectures with varying various ambient sensitivity levels for each layer [63, 72, 73]. Embedding shape memory (SM) elements into softer base materials can create temperature-responsive smart structures [74,75,76,77,78]. By using pre-stressing procedures before or after manufacturing, it has also been able to create temperature-responsive results [79, 80]. Those certain smart structures facilitate soft robotics, intelligent components [81, 82], and nonbinary actuators [75] while performing critical biomimetic tasks [83].
4.2 Electro responsive smart structures
Electroactive polymers, such as dielectric elastomer actuators (DEAs) and electroactive hydrogels (EAHs), drive electro responsive smart structures because of their strain capacity and energy density. Smart structures that respond to electromagnetic fields can perform specific tasks. Due to its greater capacity to respond quickly and at a high frequency, it finds widespread use in bionic structures [84,85,86], soft robotics [52, 61, 87, 88], and biomedical devices [69, 89].
4.3 Magneto responsive smart structures
Smart structures with magnetic responses are used frequently considering their quick response times and non-contact control capabilities. Doping ferromagnetic particles into a polymer matrix, such as polydimethyl siloxane (PDMS), UV resin, or hydrogel, is the typical method for achieving the magneto responsive function. Hard magnetic materials, in addition to soft magnetic materials, find widespread application in the construction of magneto responsive smart structures. It is therefore usual feature commercialize vat photopolymerization for the printing of magneto responsive smart structures.
4.4 Self-healing smart structures
Smart structures that self-heal can fix damage automatically or using light or heat. Consequently, they provide a straightforward and inexpensive method for extending the lifetime of structures [90]. Self-repairing structures are characterized by their healing efficiency and number of successful healing cycles. In addition, it contains intricate shapes of self-healing materials [60, 91, 92], and example includes the complex internal vascular networks [59, 93,94,95].
4.5 Smart sensing structures
A structure that is equipped with smart sensing capabilities is able to detect variations in external physical factors, displacement [96], pressure [97], and the humidity [66]. Wearable flexible sensing device research has grown to be one of these. Among these, research on wearable flexible sensing devices has become quite popular. A straightforward and inexpensive method for the 3D printing of smart-sensing structures was proposed in Leigh et al.’s [98] research work.
The ability to rapidly and precisely manufacture complex smart structures is a major benefit of 3D printing technology. In a reversal of roles, the growing need for the production of intelligent structures is driving forward the development of 3D printing technology. The foregoing are some areas that should be the primary focus of future research about the 3D printing of intelligent structures. Actuation and sensing capabilities can be added to a structure through the use of smart materials and structures in a way that is unobtrusive, integrated, and distributed. This is an important quality of smart materials and structures.
5 Smart materials
5.1 Comprehensive concept
Smart materials change their physical properties (color, stiffness, volume, shape) when exposed to varied stimulations (temperature, pH, magnetic field, wetness, light). A smart structure embeds or layers smart materials and performs sensing and actuating functions. Shape memory polymers (SMPs) are smart materials that can return to their original, permanent shape [99]. In order for polymers to have the ability to remember their original shapes, two types of domains are necessary: net-points and switches. Net-points have the highest \(Ttrans\) to prevent polymer flow and chain sliding during programming. The switching segment is a network that becomes flexible when its \(Ttrans\) temperature is above the net-point. When the switching region's Ttrans temperature exceeds the net point, the area becomes malleable and can be switched. \(\mathrm{Tm}\) or \(Tg\), the section's melting or collapsing point \(\mathrm{Tm}\). Amorphous with a \(Tg\), semi-crystalline with a \(Tg\), or liquid crystal with an isotropic temperature can all be used as switches. In contrast to SMPs with a \(\mathrm{Tm}\) transiting, whose temperature transition is more rapid, those with a \(Tg\) switch undergo a gradual change in behavior across a large temperature range [100, 101]. Since these properties, SMPs have a wide range of adjustability.
5.2 Classes
There are two classes to smart materials as illustrated in Fig. 5: (a) shape change and (b) shape memory materials. Shape altering materials flip between two states when stimulated. In preliminary state-1, called the permanent/original shape, the material is not stimulated. The second state is the material’s temporary form when subjected to an external stimulus. When the external stimulus is no longer present, the temporary form reverts to its original state-1, as seen in Fig. 5a. Materials with form memory have the capacity to be reshaped into a different configuration after being given the appropriate instructions. That means that the temporary shapes can be programmed into shape memory materials. Shape memory materials are distinguished by their ability to retain their original form. The materials can be deformed and repaired mechanically when subjected to an external stimuli. After the stimulus has been removed and the deformed shape has been restored, the temporary shape continues to be retained. The shape memory material will, as a concluding milestone, revert to re-exposed to the stimuli depicted in Fig. 5b.
5.2.1 Shape memory alloys (SMAs)
As a potential action, smart materials merit extensive study and potential use. There are two stable phases of smart materials that occur at various temperatures: austenite, which is the phase that occurs at high temperatures, and martensite, which is the phase that occurs at low temperatures (austenite phase). Intelligent/smart materials have two distinct features that set them apart from conventional steels. The first one is known as super elasticity, and the second one is shape memory. It is the SME or transformation mechanism of smart materials that allows SMAs to be distorted into any shapes and then revert to their original form with thermal stimulation.
5.2.2 Memory effect (SME)
When the SMA’s atomic crystal structure changes from one crystalline structure to another, the SME is produced. Thermomechanical programming has the potential to retrain SMAs to keep a specific permanent form. After the desired form is applied to the SMA, it is annealed at a temperature above its austenite phase transition temperature and subsequently cooled as illustrated in Fig. 6a. In the martensite phase upon annealing, the annealed SMA is malleable and can be deformed into various temporary shapes (Fig. 6b). Whenever the SMA is heated beyond its transformation temperature, the temporary shapes revert to their original permanent shape (Fig. 5c, d). Smart materials are utilized for coupling and form mechanism, actuators, combinations, shock fascination, vibration damping, automatic on–off switches, and biomedical applications [102,103,104,105,106,107].
5.2.3 Nitinol SMA wire
A nitinol SMA manufactured from a permanently compressed and momentarily stretched wire spring is depicted in Fig. 7. A robotic tentacle using SMA springs is bioinspired [108]. Nitinol, a SMA created by the Naval Ordinance Lab, is widely used in the automotive industry [109,110,111], aerospace [112, 113], healthcare [114, 115] advanced manufacturing automation, robotics [108, 116,117,118,119,120,121], and soft actuation industries [108]. Nickel and titanium were used to make it.
5.2.4 Shape memory polymers (SMPs) and shape-changing polymers (SCPs)
Shape memory polymers (SMPs) and shape-changing polymers (SCPs) are two further kinds of smart materials that are gaining interest. These “smart” materials are responsive to a variety of environmental stimuli, including but not limited to heat [122,123,124], pressure [125, 126], water, pH levels [127, 128], magnetism [129, 130], or light [131,132,133]. SCP may allow items to autonomously react to their environment without large, expensive, sophisticated electronic actuation systems [134]. By doing away with the requirement for onboard power supplies, sensors, computers, and motors, SCPs could simplify self-actuating structures. Shape memory polymers (SMPs) are materials enabling 4D printing that are gaining popularity. SMPs have lower processing temperatures and costs over SMAs and shape-changing functionality beyond composites. Smart memory polymers (SMPs) are a type of intelligent material that can restore their original shape in response to an external stimuli after having been bent and locked into a temporary shape. Changing the shape of a shape memory polymer (SMP) requires heating the polymer over its transition temperature (\(Ttrans\)), such as its glass transition temperature (\(Tg\)) or melting temperature (\(Tm\)). An external stimulation (such as heat [135,136,137,138,139]) remobilizes polymer chains and releases tension to restore SMP to its original structure. Fixing ratios measure how well a shape memory polymer (SMP) retains its temporary shape, while recovery ratios measure how well an SMP reverts to its original, unaltered shape. These measurements are absolutely necessary for gaining a knowledge of the functionality of SMP structures.
5.2.5 Self-healing materials (SHMs)
Self-healing materials, also known as SHMs, are a subcategory of smart materials that have the ability to respond to an external stimulus and then fix themselves. These materials have the potential to demonstrate their usefulness in the context of electronic devices that are subjected to harsh conditions such as high temperatures, low temperatures, pressure, and friction. There is also the possibility that these materials will demonstrate their usefulness in a different context [140, 141].
5.2.6 Smart polymers
In comparison to alloys, smart polymers are typically simpler to produce in large quantities. When compared to SMAs, smart polymers have a number of disadvantages, including low strength, low moduli, and low operating temperatures. On the other hand, smart polymers are more cost-effective and have high strain recovery, low density, biocompatibility, and biodegradability. Additionally, smart polymers are biocompatible and biodegradable [50]. This capability of SMPs to change shape is the one that has received the most attention in studies pertaining to 4D printing up to this point [25, 50, 142,143,144].
5.2.7 Azobenzene
The azobenzene family of smart materials stands apart from others in that it combines the properties of shape-changing and shape memory materials. Azobenzene is a photochromic molecule that can photoisomerize. Many photochromophores exist, including spiropyranes, stilbenes, and diarylethenes, but azobenzene is among the most explored attributed to certain reversible photoisomerization [145]. One wavelength of light can trigger and reverse material motion, providing different potential and uses for an azobenzene SCP [146,147,148,149]. The vast majority of azobenzene SMPs and SCPs are categorized as belonging to a class known as liquid crystal. In chemistry, materials comprising molecules in ordered arrangements are called liquid crystal polymers (LCPs) [150]. These molecules form nematic, smectic, chiral, and isotropic mesophases. The mesogens of nematic phases are aligned in the same direction along the long axis; however, these aspects do not often exhibit positional sequence.
In general, azobenzene is distinguished by a wide range of singular qualities that make it suitable for a variety of SMP and SCP applications. Respondents have used azobenzene and flexible films towards photoactivated actuators, artificial muscles, including surface relief gratings (SRG) [151], and sensors. Artificial photo-driven cilia has been developed by Van Oosten et al. for the purpose of micromixing [152]. In order to develop a light driven motor, the researchers utilized a similar process, which consisted of putting a photo responsive material on top of a PE film [153].
5.3 Programmable materials prospective to physique smart structures
5.3.1 Constitutive equation to predict SMP behavior
In order to construct intelligent buildings out of intelligent materials, a constitutive equation that can predict the behavior of these materials must be created firstly. SMPs are programmable materials that can change their shapes based on the temperature, magnetic fields, or electric fields that are applied to them. Both thermoviscoelastic modeling and phase transformation fall within this category, because of the speed with which SMPs have developed and the sophistication of their thermomechanical mechanism. There is no longer a requirement for additional electromechanical devices because smart materials are able to sense and act immediately. This results in a reduction in the total number of electronic and electromechanical components that are required for a construction.
5.3.2 Thermoviscoelastic approach with standard linear viscoelastic model (SLV)
Some researchers decided to use a standard linear viscoelastic model, which is more commonly referred to by its acronym, SLV, in order to simulate the SMP mechanism contained within the model [153]. A parallel arrangement of a Maxwell model and a spring element can be seen in this model. The behavior of SMP can be described and predicted with the help of thermoviscoelastic modeling, which is something that can be used. The constitutive equations, according to this point of view, are derived from rheological parameter temperature and time property dependent. Components that are seen frequently in thermoviscoelastic models include things like dashpots, springs, and frictional surfaces. In order to investigate the behavior of SMPs, one researcher came up with a straightforward viscoelastic model [154, 155]. The relationship between stress \(\upsigma\) and strain \(\upvarepsilon\) is characterized in terms of the SLV model as follows:
This equation represents stress σ, strain ε, elastic module E, time retardation λ, and viscosity μ.
It is possible to express the relationship between stress and strain for the modified SLV model using the following equation:
The following is a form that can be used to describe the significant shift that occurs in the mechanical properties of SMPs when they pass through the glass transition region:
where \({E}_{g}\) and \({\mu }_{g}\) remain the philosophies of E and \(\mu\) at T=\({T}_{g}\) and \({a}_{E}\) and \({a}_{\mu }\) demonstrate the gradient of straight line.
5.3.3 Phase transformation aspects
Researchers came up with the idea for a newfangled category of constitutive equalities through taking into account SMP’s significance combinations involving two distinct stages [156]. Under thermal conditions, these phases are capable of transforming into one another, and while this transformation is taking place, the amount is continuously shifting. One of the techniques to modeling the phase transition of SMPs throughout the scalar variables can be used to describe the heating process called \({\xi }_{g}\) and \({\xi }_{r}\), which can be defined as follows: where \({V}_{g}\) signifies the glassy phase’s volume and \({V}_{r}\) indicates the volume of the rubbery phase. Subsequently, there are individual two phases in SMPs—rubbery and glass—the volume fractions of the two phases must add up to one \(({\xi }_{g}+{\xi }_{r}=1)\).
5.4 Magnetic dynamic polymer (MDP) composite
The MDP composite creates materials with complicated structure and magnetic properties variance for mechanisms that may assemble modules and change respective shapes. MDP concept diversity MSMs dynamic stimuli-responses and changeable magnetic materials mechanical, rheological, and magnetic properties. Envision the MDP and its derivative functions as promising shape-morphing approaches which represent an emerging multifunctional assemblies and gadgets. MDPs allow a novel manufacturing strategy for stress permitted 3D designs. As a result, a distinctive act can establish MDP’s apart initiation other MSMs and current shape-morphing materials [51, 157,158,159].
6 Reimbursements of smart material in 4D printing
The development of 4D printing utilizing smart material structures is still trendy its infancy. There will be significant effects on the design and production of conventional mechanical structures as a result of its use in research and development [160]. The following aspects are examples of how this tendency might be seen:
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The degree of freedom for mechanical structure will no longer be a constraint for 4D-printed materials, which will result in a significant reduction in weight.
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Stimuli-responsive materials improve environmental monitoring. Changes in environmental circumstances can cause deformation.
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Using the technology of 4D printing, smart materials integrate actuators and sensors [160].
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Shape-shifting 4D-printed materials could streamline intricate designs by responding to external stimuli.
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The correct application of smart material in 3D printing makes it feasible to create objects that can self-assemble.
7 Futuristic materials towards novel 4D printing
Future-forward materials include self-repairing concrete and bone-like glass. One of the “smart” materials in this set is self-healing concrete. Several aspects of the diagrammatic presentation are shown in Fig. 8.
7.1 Aerogel: a cosmic sponge
The consistency of aerogel is similar to that of smoke as shown in Fig. 8a. The way it refracts light makes its edges fuzzy and indistinct. It has the same texture as polystyrene when held in the hand; however, it is very friable, meaning it crumbles or shatter easily. In the 1990s, a sample of aerogel was generated that was 99.8% air, making it the lightest material in the world [161, 162]. As fantastical wherever it looks, a certain item has magical properties among others.
7.2 Bioglass: healing the human body
The animate and the inanimate coexist in bioglass, which straddles the boundary between the two themes. It was the first material invented by humans as shown in Fig. 8b that was able to form an interaction with living tissue, and the majority of its applications today involve the regeneration of bone. A patient’s stem cells are “seeded” into bioglass before it is implanted into the area of the body that requires new bone [163]. As bone cells proliferate, they eat bioglass, leaving only genuine bone. This large white tablet was developed in the labs under Hench’s leadership at Imperial College.
7.3 Self-healing concrete: a life-saver
Smart materials can respond to environmental changes, heal, and grow as depicted in Fig. 8d. This category of materials is in its infant stages right now. Self-healing concrete repairs itself when pressured. Since half of the world’s structures are constructed of concrete, maintaining it is significant. In Haiti (2010) and Japan (2011), severe earthquakes destroyed concrete buildings [164, 165]. In the future, unloved concrete buildings will be able to take care of themselves because of this development.
7.4 Steel cloth
Wearable tech: while this conducts electricity, it may have a future in wearable electronics. This steel fabric resembles and feels like an elastic cuff. However, due to the fact that it is made entirely of steel, it possesses magnetic properties, as can be seen in the accompanying Fig. 8c. The company makes car tires came up with the steel thread; they embed it in the rubber to make the tires stronger. Textile designers became interested in weaving and knitting the material after it was widely distributed. Despite its impressive properties, this fabric has certain utilization [166, 167].
7.5 A limpet’s tooth
Researchers say limpet teeth are the strongest man-made material, which could impact engineering and design [168, 169]. Researchers believe limpet teeth could be used to make the cars, boats, and planes of the future. For constructions with outstanding mechanical qualities, nature is an excellent source of inspiration as shown in Fig. 8f. Engineers are continually looking to make structures stronger or lighter preserve material.
7.6 Robojelly
The artificial jellyfish propels itself through the water by harnessing the boundless potential energy of the ocean. “Robojelly” mimics a jellyfish’s movement of opening and closing a bell-like body to empty water and move forward. They have a platinum black powder coating that generates heat when in contact with the oxygen and hydrogen in seawater. First underwater robot powered by external hydrogen, Robojelly only moves in one direction because all eight segments are engaged at once. As shown in Fig. 8e, the research was published in the journal smart materials and structures, which is put out by the Institute of Physics in the UK [170].
8 Potential applications
Future smart device and structure development will place a significant emphasis on smart materials as depicted in Fig. 9, particularly in the biomedical sector. Smart materials and structures are transitioning from high-end, one-of-a-kind medical, military, and aerospace [171,172,173,174] items to mainstream, high volume/low cost automobile solutions [175,176,177,178]. High energy/power density, reduced vehicle mass, functionality and design flexibility, and smaller/cheaper components are all benefits. The majority of the novel uses, such microfluidic medication delivery, are being used on a slightly smaller scale. Particularly, the vehicle industry uses smart materials to produce safety, comfort, and fuel-efficiency gadgets and parts. Recently, shape memory alloys have been proposed for passive and/or active vibration and earthquake control in civil engineering.
Real-world implementation is crucial for the success of smart structures. After conceptualization, significantly improve the smart structure’s driving force, displacement capacity, and response time. Secondly, additional research is needed into the long-term reliability of smart structures.
8.1 Smart burs
Those certain polymer burs exclusively remove diseased dentin. The remineralization-capable damaged dentin is left unharmed. Smart preparation burs avoid overcutting tooth structure caused by conventional burs. These intelligent preparation burs help dentists minimize the overcutting of tooth structure that often occurs when using standard burs [179].
8.1.1 Smart glass ionomer cement (RMGIC)
Davidson was the one who initially proposed the intelligent behavior of GIC. Gels absorb or release solvents quickly in response to stimuli like temperature, pH, etc. Mixing conveniently utilizing micro CT scanning can regulate cement porosity. These smart ionomers behave in a manner analogous to that of human dentin. Resin-modified adhesive resin cement, compomer, or giomer can however manifest smart capabilities [180].
8.1.2 Smart impression material
These materials are hydrophilic for void-free impressions, have shape memory for accurate impressions, and resist ripping. Snap set reduces working and setting times by 33% and produces distortion-free restorations that fit perfectly. These materials, such as Imprint™ 3 VPS, Impregum™, and Aquasil Ultra, have a low viscosity while yet maintaining a high flow [181, 182].
8.1.3 Miniature functional trocar for eye surgery
The use of additive manufacturing allows for a significant deal of creative leeway in the design and production of intricate components and mechanisms. AM is recognized in the medical field for its customization, additional functions, and complicated structure production [180]. AM is used to make eyeglasses, ocular prosthesis, implants, and ophthalmic devices in ophthalmology. Ophthalmic surgery uses trocar cannulas to access the eye’s interior. Using an inserter knife, a tiny incision is made in the sclera (eye’s outer layer) to allow the trocar to be inserted. The trocar is a cannula with a moveable valve. After the trocar has been positioned, the flexible closure valve will ensure that the channel remains closed.
8.2 Prosthetic arms
The initial stage of the design is a high-resolution scan of both patient arms. The artificial hand or arm will be 3D manufactured backwards. The external shell, socket, fingers, and joints are made of lightweight, adaptable PA12 Nylon using 3D printing. The control and oversight of it while given the appropriate case, a TrueLimb hand can be initiated to acknowledge one of six major grips: resting, hooked, prepaid card, closed hand (fist), pincer, or closed tripod. The adaptability of the grips is illustrated in Fig. 10, and it enables them to assume a number of configurations. When grabbing an object, each finger closes until it hits a particular resistance. In order to grasp a ball, for instance, the thumb, forefinger, and middle finger must first experience resistance from the ball’s upper section before they can continue to close. Contrarily, the ring finger which is underneath the ball continues closing until it is continuing to support the ball.
8.3 Smart product design with a 4D structure
4D printing increases 3D printing’s reliability and performance. Flexible 4D structures can be modified either water, heat, gravitational forces, or light. It is being investigated whether 4D printing can be used in manufacturing to create smart products with a 4D structure.
8.3.1 Smart product manufacturing
Manufacturing smart objects can be aided by 4D printing. Intelligent materials that react to environmental stimuli can be produced by aerospace manufacturers. Automating operations with 4D printing includes cooling engines and air conditioning. The benefits of 3D printing for the defense sector are numerous. There seem to be novel uses for 4D printing. Military uniforms that are camouflaged or gas-proof could be produced via 4D printing [183, 184].
8.3.2 Airbag and comfortable seat
Adaptable car safety seats and airbags are possible with 4D constructions. Four-dimensional printing has the potential to revolutionize the manufacturing of common household items. Flat-pack furniture like chairs and tables could be assembled by this technology on their own. Less stuff would need to be stored, and moving about would be simpler [185, 186].
8.3.3 4D-printed smart plumbing appliances
One potential application for 4D printing in plumbing is to create pipes with variable diameters that adapt to changing water flows and demands. If pipes are adaptive enough, they may be able to fix themselves when the environment changes. Only by adding water or light to a flat board within the printer’s height can 3D-printed furniture be manufactured in a 4th dimension.
8.3.4 Nature transformation
In the long run, massive-scale projects will benefit greatly from the usage of 4D printing. Potential future uses include use in vacuum environments like outer space. There are currently problems with the building’s 3D printing in space operation’s energy consumption, performance, and cost. Consequently, 4D-printed materials should be used to make the most of their malleable nature, rather than 3D printed ones. Because it can grow and repair itself, it could be the answer to the problem of building bridges, shelters, and installations that do not get damaged when there is a weather disruption [78, 187].
8.3.5 Smart water valve
The smart water valves that can be made using 4D printing are impressive. Hydrogel ink has a fast reaction to heat and closes a valve when it comes into contact with hot water, then opens again when the temperature drops. The aerospace industry is making use of 4D printing technology to create self-deploying devices, air conditioning, engine cooling, and other similar products. Similarly hoped-for are biocompatible, 4D-imprinted devices capable of enlarging or shrinking a living organism. These items might be used in place of a traditional stent to reduce the likelihood of complications in coronary artery procedures [188,189,190,191].
8.3.6 Combinatorial structures
The current technology makes the creation of complex assemblies far too labor-intensive and expensive to be practical. Consumers are exposed to game-changing capabilities such as 4D printing and are able to develop incredible applications by utilizing additive manufacturing. Both 3D and 4D offer a substantial improvement over the norms that are now in place, but only one of them is more forward-looking than the other, with a primary focus on the former [192,193,194].
In the future, it will not be difficult to face these obstacles. The high cost of technology and materials, as well as limitations in mechanical properties of materials and regulating of deformation, remains obstacles and problems for 4D printing.
9 Conclusion
The domain of AM remains in its infancy. Future manufacture of composite structures has much to gain from AM-ACM. Smart materials of 4D printing potential to construct smart structures (4DP: SMs-SSs) show that these materials have a bright future. Since there is a wealth of information to be gleaned from studying smart materials, it is necessary to derive the behaviors that will be most useful to those working in product or industrial design. The emergence of novel materials and the improvement of existing ones provide fresh inspiration for designers. Time-dependent materials include shape-shifting and self-repair and form memory materials. 4D printing has gained popularity because printed structures are capable of developing and altering throughout time in response various stimulations. New and better machinery, printing techniques, software, and materials are always being invented. The application of 4D printing technology ranges from basic shape modifications to bio printing of living organisms, using smart materials, designs that anticipate change processes, and smart printing.
The technology of smart materials by its nature, is a highly interdisciplinary field, as are the many research areas of smart material facts bases and design approaches that educate the future. This new feature makes tiny deployable structures, and the entire structure must be split and treated independently.
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The initiative’s intention was to assess the technology’s potential.
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The forecasting of stimulus-sensitive compounds’ behavior and its emphasis on material characteristics.
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4D printing will enable new applications, act in extreme environments, and build transformable structures.
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The investigation of multifunctional structures is anticipated to be an unstoppable trend in perspective of the functionality of the smart structure.
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Smart structures that shrink should receive a lot of attention, and more large-scale structural research is required.
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The final factor is future impact. It will benefit not only the scientific community, but all of humanity.
Availability of data and materials
The fact used to support the outcomes of this study is contained inside the paper.
References s
Paoletti I (2018) Blaine Brownell, TRANSMATERIAL next- a catalog of materials that redefine our future. TECHNE - Journal of Technology for Architecture and Environment 16:339. https://doi.org/10.13128/Techne-24244
Kauffman GB, Mayo I (1997) The story of nitinol: the serendipitous discovery of the memory metal and its applications. Chem Educ 2. https://doi.org/10.1007/s00897970111a
Akbar I, El Hadrouz M, El Mansori M, Lagoudas D (2022) Toward enabling manufacturing paradigm of 4D printing of shape memory materials: Open literature review. Eur Polym J 168. https://doi.org/10.1016/j.eurpolymj.2022.111106
Zhang Z, Demir KG, Gu GX (2019) Developments in 4D-printing: a review on current smart materials, technologies, and applications. Int J Smart Nano Mater 10. https://doi.org/10.1080/19475411.2019.1591541
ISO/TC 261 Additive Manufacturing (2021) ISO/ASTM52900:2021(en), Additive manufacturing — General principles — Fundamentals and vocabulary. Int Organ Stand. https://www.iso.org/standard/74514.html
International Organization for Standardization (2017) ENISO/ASTM 52900:2017. Addit Fert - Grundlagen –Terminol. https://doi.org/10.31030/2631641
Roh BM, Kumara SRT, Simpson TW et al (2016) Ontology-based laser and thermal metamodels for metal-based additive manufacturing. In: Proceedings of the ASME Design Engineering Technical Conference
Gibson I, Rosen D, Stucker B (2015) Additive manufacturing technologies: 3D printing and direct digital manufacturing, Springer, New York. Johnson Matthey Technol Rev 59. https://doi.org/10.1007/978-1-4939-2113-3
Sanfilippo EM, Belkadi F, Bernard A (2019) Ontology-based knowledge representation for additive manufacturing. Comput Ind 109. https://doi.org/10.1016/j.compind.2019.03.006
Leist SK, Gao D, Chiou R, Zhou J (2017) Investigating the shape memory properties of 4D printed polylactic acid (PLA) and the concept of 4D printing onto nylon fabrics for the creation of smart textiles. Virtual Phys Prototyp 12. https://doi.org/10.1080/17452759.2017.1341815
Invernizzi M, Turri S, Levi M, Suriano R (2018) 4D printed thermally activated self-healing and shape memory polycaprolactone-based polymers. Eur Polym J 101. https://doi.org/10.1016/j.eurpolymj.2018.02.023
Whitesides GM, Grzybowski B (2002) Self-assembly at all scales. Science (80-):295. https://doi.org/10.1126/science.1070821
Liu D, Aleisa R, Cai Z et al (2021) Self-assembly of superstructures at all scales. Matter 4. https://doi.org/10.1016/j.matt.2020.12.020
Momeni F, Hassani NSMM, Liu X, Ni J (2017) A review of 4D printing. Mater Des 122:42–79. https://doi.org/10.1016/j.matdes.2017.02.068
Monzón MD, Paz R, Pei E et al (2017) 4D printing: processability and measurement of recovery force in shape memory polymers. Int J Adv Manuf Technol 89. https://doi.org/10.1007/s00170-016-9233-9
Meng H, Li G (2013) A review of stimuli-responsive shape memory polymer composites. Polymer (Guildf) 54. https://doi.org/10.1016/j.polymer.2013.02.023
Jeong HY, An SC, Seo IC et al (2019) 3D printing of twisting and rotational bistable structures with tuning elements. Sci Rep 9. https://doi.org/10.1038/s41598-018-36936-6
Stuart-Fox D, Moussalli A (2008) Selection for social signalling drives the evolution of chameleon colour change. PLoS Biol 6. https://doi.org/10.1371/journal.pbio.0060025
Leng J (2013) Plants and mechanical motion – a synthetic approach to nastic materials and structures. Int J Smart Nano Mater 4. https://doi.org/10.1080/19475411.2012.744884
Ding D, Pan Z, Cuiuri D et al (2016) Advanced design for additive manufacturing: 3D slicing and 2D path planning. New Trends in 3D Printing. https://doi.org/10.5772/63042
Farid MI, Wu W, Liu X, Wang PP (2021) Additive manufacturing landscape and materials perspective in 4D printing. Int J Adv Manuf Technol 115: 2973–2988. https://doi.org/10.1007/s00170-021-07233-w
Ding D, Pan Z, Cuiuri D et al (2016) Advanced design for additive manufacturing: 3D slicing and 2D path planning. In: New Trends in 3D Printing https://doi.org/10.1007/s00170-021-07233-w
Duarte J, Espírito Santo I, T. Monteiro MT, F Vaz AI (2022) Curved layer path planning on a 5-axis 3D printer. Rapid Prototyp J 28. https://doi.org/10.1108/RPJ-02-2021-0025
Nam S, Pei E (2019) A taxonomy of shape-changing behavior for 4D printed parts using shape-memory polymers. Prog Addit Manuf 4:167–184. https://doi.org/10.1007/s40964-019-00079-5
Ge Q, Qi HJ, Dunn ML (2013) Active materials by four-dimension printing. Appl Phys Lett 103. https://doi.org/10.1063/1.4819837
Tibbits S (2014) 4D printing: multi-material shape change. Archit Des 84. https://doi.org/10.1002/ad.1710
Raviv D, Zhao W, McKnelly C et al (2014) Active printed materials for complex self-evolving deformations. Sci Rep 4. https://doi.org/10.1038/srep07422
Pei E (2014) 4D Printing: dawn of an emerging technology cycle. Assembly Automation 34(4):310–314. https://doi.org/10.1108/AA-07-2014-062
Kotikian A, Truby RL, Boley JW et al (2018) 3D printing of liquid crystal elastomeric actuators with spatially programed nematic order. Adv Mate 30. https://doi.org/10.1002/adma.201706164
Ding Z, Yuan C, Peng X et al (2017) Direct 4D printing via active composite materials. Sci Adv 3. https://doi.org/10.1126/sciadv.1602890
Kuksenok O, Balazs AC (2016) Stimuli-responsive behavior of composites integrating thermo-responsive gels with photoresponsive fibers. Mater Horizons 3. https://doi.org/10.1039/c5mh00212e
Yang H, Leow WR, Wang T et al (2017) 3D printed photoresponsive devices based on shape memory composites. Adv Mater 29. https://doi.org/10.1002/adma.201701627
Kanu NJ, Gupta E, Vates UK, Singh GK (2019) An insight into biomimetic 4D printing. RSC Adv 9. https://doi.org/10.1039/C9RA07342F
Sydney Gladman A, Matsumoto EA, Nuzzo RG et al (2016) Biomimetic 4D printing. Nat Mater 15. https://doi.org/10.1038/nmat4544
Nadgorny M, Xiao Z, Chen C, Connal LA (2016) Three-dimensional printing of pH-responsive and functional polymers on an affordable desktop printer. ACS Appl Mater Interfaces 8. https://doi.org/10.1021/acsami.6b07388
Shin DG, Kim TH, Kim DE (2017) Review of 4D printing materials and their properties. Int J Precis Eng Manuf - Green Technol 4. https://doi.org/10.1007/s40684-017-0040-z
Wu JJ, Huang LM, Zhao Q et al (2018) 4D printing: history and recent progress. Chin J Polym Sci 36:563–575. https://doi.org/10.1007/s10118-018-2089-8
Choi J, Kwon OC, Jo W et al (2015) 4D printing technology: A review. 3D Print Addit Manuf 2. https://doi.org/10.1089/3dp.2015.0039
Tibbits S, McKnelly C, Olguin C et al (2014) 4D printing and universal transformation. In: ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture
Qin B, Chong ZJ, Bandyopadhyay T et al (2012) Curb-intersection feature based Monte Carlo localization on urban roads. Proc IEEE Int Conf Robot Autom
Cui C, Kim DO, Pack MY et al (2020) 4D printing of self-folding and cell-encapsulating 3D microstructures as scaffolds for tissue-engineering applications. Biofabrication 12. https://doi.org/10.1088/1758-5090/aba502
Zhang K, Kimball JS, Nemani RR et al (2015) Vegetation greening and climate change promote multidecadal rises of global land evapotranspiration. Sci Rep 5. https://doi.org/10.1038/srep15956
Momeni F, Ni J (2020) Laws of 4D printing. Engineering 6. https://doi.org/10.1016/j.eng.2020.01.015
Thakur S, Hu J (2017) Polyurethane: a Shape Memory Polymer (SMP). Aspects of Polyurethanes. https://doi.org/10.5772/intechopen.69992
Choong YYC, Maleksaeedi S, Eng H et al (2017) 4D printing of high performance shape memory polymer using stereolithography. Mater Des 126. https://doi.org/10.1016/j.matdes.2017.04.049
Zhang F, Zhang Z, Zhou T et al (2015) Shape memory polymer nanofibers and their composites: Electrospinning, structure, performance, and applications. Front Mater 2. https://doi.org/10.3389/fmats.2015.00062
Xu J, Song J (2011) Thermal responsive shape memory polymers for biomedical applications. Biomedical Engineering - Frontiers and Challenges. https://doi.org/10.5772/19256
Wu W, Ye W, Wu Z et al (2017) Influence of layer thickness, raster angle, deformation temperature and recovery temperature on the shape-memory effect of 3D-printed polylactic acid samples. Materials (Basel) 10. https://doi.org/10.3390/ma10080970
Lauff C, Simpson TW, Frecker M et al (2014) Differentiating bending from folding in origami engineering using active materials. Proceedings of the ASME Design Engineering Technical Conference
Khoo ZX, Teoh JEM, Liu Y et al (2015) 3D printing of smart materials: a review on recent progresses in 4D printing. Virtual Phys Prototyp 10. https://doi.org/10.1080/17452759.2015.1097054
Breger JC, Yoon C, Xiao R et al (2015) Self-folding thermo-magnetically responsive soft microgrippers. ACS Appl Mater Interfaces 7. https://doi.org/10.1021/am508621s
Kim Y, Yuk H, Zhao R et al (2018) Printing ferromagnetic domains for untethered fast-transforming soft materials. Nature 558. https://doi.org/10.1038/s41586-018-0185-0
Wang X, Guo Q, Cai X et al (2014) Initiator-integrated 3D printing enables the formation of complex metallic architectures. ACS Appl Mater Interfaces 6. https://doi.org/10.1021/am4050822
Jiang Q, Chu Z, Wang P et al (2017) Planar-structure perovskite solar cells with efficiency beyond 21%. Adv Mater 29. https://doi.org/10.1002/adma.201703852
Hagaman DE, Leist S, Zhou J, Ji HF (2018) Photoactivated polymeric bilayer actuators fabricated via 3D printing. ACS Appl Mater Interfaces 10. https://doi.org/10.1021/acsami.8b08503
Garcia C, Gallardo A, López D et al (2018) Smart pH-responsive antimicrobial hydrogel scaffolds prepared by additive manufacturing. ACS Appl Bio Mater 1. https://doi.org/10.1021/acsabm.8b00297
Zheng SY, Shen Y, Zhu F et al (2018) Programmed deformations of 3D-printed tough physical hydrogels with high response speed and large output force. Adv Funct Mater 28. https://doi.org/10.1002/adfm.201803366
Aghakhani A, Yasa O, Wrede P, Sitti M (2020) Acoustically powered surface-slipping mobile microrobots. Proc Natl Acad Sci U S A 117. https://doi.org/10.1073/pnas.1920099117
Luan C, Yao X, Zhang C et al (2020) Integrated self-monitoring and self-healing continuous carbon fiber reinforced thermoplastic structures using dual-material three-dimensional printing technology. Compos Sci Technol 188. https://doi.org/10.1016/j.compscitech.2019.107986
Li X, Yu R, He Y et al (2019) Self-healing polyurethane elastomers based on a disulfide bond by digital light processing 3D printing. ACS Macro Lett 8. https://doi.org/10.1021/acsmacrolett.9b00766
Han D, Farino C, Yang C et al (2018) Soft robotic manipulation and locomotion with a 3D printed electroactive hydrogel. ACS Appl Mater Interfaces 10. https://doi.org/10.1021/acsami.8b04250
Bharti B, Kumar S, Lee HN, Kumar R (2016) Formation of oxygen vacancies and Ti3+ state in TiO2 thin film and enhanced optical properties by air plasma treatment. Sci Rep 6. https://doi.org/10.1038/srep32355
Zomer RJ, Neufeldt H, Xu J et al (2016) Global tree cover and biomass carbon on agricultural land: the contribution of agroforestry to global and national carbon budgets. Sci Rep:6. https://doi.org/10.1038/srep29987
Yuan W, Zheng Y, Piao S et al (2019) Increased atmospheric vapor pressure deficit reduces global vegetation growth. Sci Adv 5. https://doi.org/10.1126/sciadv.aax1396
Ji Y, Luan C, Yao X et al (2021) Recent progress in 3D printing of smart structures: classification, challenges, and trends. Adv Intell Syst 3. https://doi.org/10.1002/aisy.202170081
Wang W, Ouaras K, Rutz AL et al (2020) Inflight fiber printing toward array and 3D optoelectronic and sensing architectures. Sci Adv 6. https://doi.org/10.1126/sciadv.aba0931
Chia PY, Coleman KK, Tan YK et al (2020) Detection of air and surface contamination by SARS-CoV-2 in hospital rooms of infected patients. Nat Commun 11. https://doi.org/10.1038/s41467-020-16670-2
Zhou LY, Gao Q, Fu JZ et al (2019) Multimaterial 3D printing of highly stretchable silicone elastomers. ACS Appl Mater Interfaces 11. https://doi.org/10.1021/acsami.9b04873
Fang JH, Hsu HH, Hsu RS et al (2020) 4D printing of stretchable nanocookie@conduit material hosting biocues and magnetoelectric stimulation for neurite sprouting. NPG Asia Mater 12. https://doi.org/10.1038/s41427-020-00244-1
Zhang P, Wu X, Gardashova G et al (2020) Molecular and functional extracellular vesicle analysis using nanopatterned microchips monitors tumor progression and metastasis. Sci Transl Med 12. https://doi.org/10.1126/scitranslmed.aaz2878
Derakhshandeh H, Aghabaglou F, McCarthy A et al (2020) A wirelessly controlled smart bandage with 3D-printed miniaturized needle arrays. Adv Funct Mater 30. https://doi.org/10.1002/adfm.201905544
Xin X, Liu L, Liu Y, Leng J (2020) Origami-inspired self-deployment 4D printed honeycomb sandwich structure with large shape transformation. Smart Mater Struct 29. https://doi.org/10.1088/1361-665X/ab85a4
Boley JW, Van Rees WM, Lissandrello C et al (2019) Shape-shifting structured lattices via multimaterial 4D printing. Proc Natl Acad Sci U S A 116. https://doi.org/10.1073/pnas.1908806116
Mirzendehdel AM, Suresh K (2016) Support structure constrained topology optimization for additive manufacturing. CAD Comput Aided Des 81. https://doi.org/10.1016/j.cad.2016.08.006
Chen T, Bilal OR, Shea K, Daraio C (2018) Harnessing bistability for directional propulsion of soft, untethered robots. Proc Natl Acad Sci U S A 115. https://doi.org/10.1073/pnas.1800386115
Garces IT, Ayranci C (2021) Advances in additive manufacturing of shape memory polymer composites. Rapid Prototyp J 27. https://doi.org/10.1108/RPJ-07-2020-0174
Zhang YF, Zhang N, Hingorani H et al (2019) Fast-response, stiffness-tunable soft actuator by hybrid multimaterial 3D printing. Adv Funct Mater 29. https://doi.org/10.1002/adfm.201806698
Kuang X, Chen K, Dunn CK et al (2018) 3D printing of highly stretchable, shape-memory, and self-healing elastomer toward novel 4D printing. ACS Appl Mater Interfaces 10. https://doi.org/10.1021/acsami.7b18265
Tabatabaei M, Atluri SN (2021) Ultralight metallic/composite materials with architected cellular structures. Mech Mach Sci 97:20–28. https://doi.org/10.1007/978-3-030-64690-5_3
Kim K, Guo Y, Bae J et al (2021) 4D printing of hygroscopic liquid crystal elastomer actuators. Small 17. https://doi.org/10.1002/smll.202100910
Zarek M, Layani M, Cooperstein I et al (2016) 3D Printing: 3D printing of shape memory polymers for flexible electronic devices (Adv. Mater. 22/2016). Adv Mater 28. https://doi.org/10.1002/adma.201503132
Bakarich SE, Gorkin R, In PM, Het SGM (2015) 4D printing with mechanically robust, thermally actuating hydrogels. Macromol Rapid Commun 36. https://doi.org/10.1002/marc.201500079
Teoh JEM, An J, Chua CK et al (2017) Hierarchically self-morphing structure through 4D printing. Virtual Phys Prototyp 12. https://doi.org/10.1080/17452759.2016.1272174
Zhu P, Yang W, Wang R et al (2018) 4D Printing of complex structures with a fast response time to magnetic stimulus. ACS Appl Mater Interfaces 10. https://doi.org/10.1021/acsami.8b12853
Joyee EB, Pan Y (2019) Multi-material additive manufacturing of functional soft robot. https://doi.org/10.1016/j.promfg.2019.06.221
Nguyen CT, Phung H, Jung H et al (2015) Printable monolithic hexapod robot driven by soft actuator. Proceedings – IEEE International Conference on Robotics and Automation
Mea HJ, Delgadillo L, Wan J (2020) On-demand modulation of 3D-printed elastomers using programmable droplet inclusions. Proc Natl Acad Sci U S A 117. https://doi.org/10.1073/pnas.1917289117
Wehner M, Truby RL, Fitzgerald DJ et al (2016) An integrated design and fabrication strategy for entirely soft, autonomous robots. Nature 536. https://doi.org/10.1038/nature19100
Kim Y, Parada GA, Liu S, Zhao X (2019) Ferromagnetic soft continuum robots. Sci Robot 4. https://doi.org/10.1126/SCIROBOTICS.AAX7329
Jinglei Y, Keller MW, Moore JS et al (2008) Microencapsulation of isocyanates for self-healing polymers. Macromolecules 41. https://doi.org/10.1021/ma801718v
Loebel C, Rodell CB, Chen MH, Burdick JA (2017) Shear-thinning and self-healing hydrogels as injectable therapeutics and for 3D-printing. Nat Protoc 12. https://doi.org/10.1038/nprot.2017.053
Hu SW, Sung PJ, Nguyen TP et al (2020) UV-resistant self-healing emulsion glass as a new liquid-like solid material for 3D printing. ACS Appl Mater Interfaces 2. https://doi.org/10.1021/acsami.0c04121
Hansen CJ, Wu W, Toohey KS et al (2009) Self-healing materials with interpenetrating microvascular networks. Adv Mater 21. https://doi.org/10.1002/adma.200900588
Li Z, Souza LR de, Litina C et al (2019) Feasibility of using 3D Printed polyvinyl alcohol (PVA) for creating self-healing vascular tunnels in cement system. Materials (Basel) 12. https://doi.org/10.3390/ma12233872
Li Z, Souza LR de, Litina C et al (2020) A novel biomimetic design of a 3D vascular structure for self-healing in cementitious materials using Murray’s law. Mater Des 190. https://doi.org/10.1016/j.matdes.2020.108572
Peng S, Li Y, Wu L et al (2020) 3D printing mechanically robust and transparent polyurethane elastomers for stretchable electronic sensors. ACS Appl Mater Interfaces 12. https://doi.org/10.1021/acsami.9b20631
Ntagios M, Nassar H, Pullanchiyodan A et al (2020) Robotic hands with intrinsic tactile sensing via 3D printed soft pressure sensors. Adv Intell Syst 2. https://doi.org/10.1002/aisy.201900080
Leigh SJ, Bradley RJ, Purssell CP et al (2012) A simple, low-cost conductive composite material for 3D printing of electronic sensors. PLoS One 7. https://doi.org/10.1371/journal.pone.0049365
Ouellette ES (2016) Novel methods and self-reinforced composite materials for assessment and prevention of mechanically assisted corrosion in modular implants. https://surface.syr.edu/etd/449
Mohamed OA, Masood SH, Bhowmik JL (2016) Optimization of fused deposition modeling process parameters for dimensional accuracy using I-optimality criterion. Meas J Int Meas Confed 81. https://doi.org/10.1016/j.measurement.2015.12.011
Garces IT, Aslanzadeh S, Boluk Y, Ayranci C (2019) Effect of moisture on shape memory polyurethane polymers for extrusion-based additive manufacturing. Materials (Basel)12. https://doi.org/10.3390/ma12020244
Shape Memory Effects in Alloys (1975) https://doi.org/10.1007/978-1-4684-2211-5
Liang C, Rogers CA (1990) One-dimensional thermomechanical constitutive relations for shape memory materials. J Intell Mater Syst Struct 1. https://doi.org/10.1177/1045389X9000100205
Liang C, Rogers CA (1997) One-dimensional thermomechanical constitutive relations for shape memory materials. J Intell Mater Syst Struct 8. https://doi.org/10.1177/1045389X9700800402
Ghandi K, Hagood NW (1995) Shape memory ceramic actuation of adaptive structures. AIAA J 33. https://doi.org/10.2514/3.12962
Barsoum RGS (1997) Active materials and adaptive structures [for naval applications]. Smart Mater Struct 6. https://doi.org/10.1088/0964-1726/6/1/014
Lagoudas DC, Rediniotis OK, Khan MM (2000) Applications of shape memory alloys in biomedical engineering. https://doi.org/10.29322/IJSRP.10.09.2020.p10549
Cianchetti M, Licofonte A, Follador M et al (2014) Bioinspired soft actuation system using shape memory alloys. Actuators 3. https://doi.org/10.3390/act3030226
Jani JM, Leary M, Subic A (2014) Shape memory alloys in automotive applications. Appl Mech Mater. https://doi.org/10.4028/www.scientific.net/AMM.663.248
Riccio A, Sellitto A, Ameduri S et al (2021) Shape memory alloys (SMA) for automotive applications and challenges. In: Shape memory alloy engineering: for aerospace, structural, and biomedical applications. https://doi.org/10.1016/C2018-0-02430-5
Mohd Jani J, Leary M, Subic A, Gibson MA (2014) A review of shape memory alloy research, applications and opportunities. Mater Des 56. https://doi.org/10.1016/j.matdes.2013.11.084
Savage SJ (1991) Engineering aspects of shape memory alloys. Surf Eng 7. https://doi.org/10.1179/sur.1991.7.4.299
Van Humbeeck J (1999) Non-medical applications of shape memory alloys. Mater Sci Eng A 273–275. https://doi.org/10.1016/S0921-5093(99)00293-2
Mertmann M (2004) Non-medical applications of NiTinol. Minim Invasive Ther Allied Technol 13. https://doi.org/10.1080/S13645700410018055
Morgan NB (2004) Medical shape memory alloy applications - the market and its products. Mater Sci Eng A 378. https://doi.org/10.1016/j.msea.2003.10.326
Laschi C, Cianchetti M (2014) oft robotics: new perspectives for robot bodyware and control. Front Bioeng Biotechnol 2. https://doi.org/10.3389/fbioe.2014.00003
Jani JM, Leary M, Subic A, Gibson MA (2014) A review of shape memory alloy research, applications and opportunities. Mater Des 56. https://doi.org/10.1016/j.matdes.2013.11.084
Balasubramanian M, Srimath R, Vignesh L, Rajesh S (2021) Application of shape memory alloys in engineering - A review. J Phys Conf Ser. https://doi.org/10.1088/1742-6596/2054/1/012078
Mazzolai B, Margheri L, Cianchetti M et al (2012) Soft-robotic arm inspired by the octopus: II. from artificial requirements to innovative technological solutions. Bioinspir Biomimetics 7. https://doi.org/10.1088/1748-3182/7/2/025005
Ben UA (2010) Development and application of new material systems for three dimensional printing (3DP). J Manuf Sci Eng 132(1):011008. https://doi.org/10.1115/1.4000713
Motzki P, Seelecke S (2022) Industrial applications for shape memory alloys. https://doi.org/10.1016/B978-0-12-803581-8.11723-0
Zarek M, Layani M, Cooperstein I et al (2016) 3D printing of shape memory polymers for flexible electronic devices. Adv Mater 28. https://doi.org/10.1002/adma.201503132
Yang WG, Lu H, Huang WM et al (2014) Advanced shape memory technology to reshape product design, manufacturing and recycling. Polymers (Basel) 6. https://doi.org/10.3390/polym6082287
Srivastava V, Chester SA, Ames NM, Anand L (2010) A thermo-mechanically-coupled large-deformation theory for amorphous polymers in a temperature range which spans their glass transition. Int J Plast 26. https://doi.org/10.1016/j.ijplas.2010.01.004
Tee BCK, Wang C, Allen R, Bao Z (2012) An electrically and mechanically self-healing composite with pressure- and flexion-sensitive properties for electronic skin applications. Nat Nanotechnol 7. https://doi.org/10.1038/nnano.2012.192
Ramuz M, Tee BCK, Tok JBH, Bao Z (2012) Transparent, optical, pressure-sensitive artificial skin for large-area stretchable electronics. Adv Mater 24. https://doi.org/10.1002/adma.201200523
Qiu Y, Park K (2012) Environment-sensitive hydrogels for drug delivery. Adv Drug Deliv Rev 64. https://doi.org/10.1016/S0169-409X(01)00203-4
Yang B, Huang WM, Li C, Li L (2006) Effects of moisture on the thermomechanical properties of a polyurethane shape memory polymer. Polymer (Guildf) 47. https://doi.org/10.1016/j.polymer.2005.12.051
Zhao Q, Behl M, Lendlein A (2013) Shape-memory polymers with multiple transitions: complex actively moving polymers. Soft Matter 9. https://doi.org/10.1039/c2sm27077c
Leng J, Lan X, Liu Y, Du S (2011) Shape-memory polymers and their composites: Stimulus methods and applications. Prog Mater Sci 56. https://doi.org/10.1016/j.pmatsci.2011.03.001
White TJ (2012) Light to work transduction and shape memory in glassy, photoresponsive macromolecular systems: Trends and opportunities. J Polym Sci Part B Polym Phys 50. https://doi.org/10.1002/polb.23079
Herath M, Epaarachchi J, Islam M et al (2020) Light activated shape memory polymers and composites: A review. Eur Polym J 136. https://doi.org/10.1016/j.eurpolymj.2020.109912
Habault D, Zhang H, Zhao Y (2013) Light-triggered self-healing and shape-memory polymers. Chem Soc Rev 42. https://doi.org/10.1039/c3cs35489j
Leist SK, Zhou J (2016) Current status of 4D printing technology and the potential of light-reactive smart materials as 4D printable materials. Virtual Phys Prototyp 11
Baker RM, Tseng LF, Iannolo MT et al (2016) Self-deploying shape memory polymer scaffolds for grafting and stabilizing complex bone defects: a mouse femoral segmental defect study. Biomaterials 76. https://doi.org/10.1016/j.biomaterials.2015.10.064
Tseng LF, Mather PT, Henderson JH (2013) Shape-memory-actuated change in scaffold fiber alignment directs stem cell morphology. Acta Biomater 9. https://doi.org/10.1016/j.actbio.2013.06.043
Davis KA, Luo X, Mather PT, Henderson JH (2011) Shape memory polymers for active cell culture. J Vis Exp. https://doi.org/10.3791/2903
Baker RM, Henderson JH, Mather PT (2013) Shape memory poly(ε-caprolactone)-co-poly(ethylene glycol) foams with body temperature triggering and two-way actuation. J Mater Chem B 1. https://doi.org/10.1039/c3tb20810a
Lendlein A, Langer R (2002) Biodegradable, elastic shape-memory polymers for potential biomedical applications. Science (80-):296. https://doi.org/10.1126/science.1066102
Hager MD, Greil P, Leyens C et al (2010) Self-healing materials. Adv Mater 22. https://doi.org/10.1002/adma.201003036
Hager MD, Bode S, Weber C, Schubert US (2015) Shape memory polymers: Past, present and future developments. Prog Polym Sci 49–50. https://doi.org/10.1016/j.progpolymsci.2015.04.002
Ge Q, Dunn CK, Qi HJ, Dunn ML (2014) Active origami by 4D printing. Smart Mater Struct 23. https://doi.org/10.1088/0964-1726/23/9/094007
Lendlein A, Yang G, Bellingham J et al (2018) Fabrication of reprogrammable shape-memory polymer actuators for robotics references and notes. Sci Robot Adv Mater Proc Natl Acad Sci USA 3. https://doi.org/10.1126/scirobotics.aat9090
Mao Y, Yu K, Isakov MS et al (2015) Sequential self-folding structures by 3D printed digital shape memory polymers. Sci Rep 5. https://doi.org/10.1038/srep13616
Ercole F, Davis TP, Evans RA (2010) Photo-responsive systems and biomaterials: Photochromic polymers, light-triggered self-assembly, surface modification, fluorescence modulation and beyond. Polym Chem 1 http://hdl.handle.net/102.100.100/109190?index=1
White TJ, Tabiryan NV, Serak SV et al (2008) A high frequency photodriven polymer oscillator. Soft Matter 4. https://doi.org/10.1039/b805434g
White TJ, Serak SV, Tabiryan NV et al (2009) Polarization-controlled, photodriven bending in monodomain liquid crystal elastomer cantilevers. J Mater Chem 19. https://doi.org/10.1039/b818457g
Tabiryan N, Serak S, Dai X-M, Bunning T (2005) Polymer film with optically controlled form and actuation. Opt Express 13. https://doi.org/10.1364/opex.13.007442
Mahimwalla Z, Yager KG, Mamiya JI et al (2012) Azobenzene photomechanics: prospects and potential applications. Polym Bull 69. https://doi.org/10.1007/s00289-012-0792-0
White TJ, Broer DJ (2015) Programmable and adaptive mechanics with liquid crystal polymer networks and elastomers. Nat Mater 14. https://doi.org/10.1038/nmat4433
Saphiannikova M, Toshchevikov V, Ilnytskyi J (2010) Photoinduced deformations in azobenzene polymer films. Nonlinear Opt Quantum Opt 41. https://doi.org/10.1063/1.371393
Van Oosten CL, Bastiaansen CWM, Broer DJ (2009) Printed artificial cilia from liquid-crystal network actuators modularly driven by light. Nat Mater 8. https://doi.org/10.1038/nmat2487
Yamada M, Kondo M, Mamiya J et al (2008) Photomobile polymer materials: towards light-driven plastic motors. Angew Chemie 120. https://doi.org/10.1002/ange.200800760
Tobushi H, Hara H, Yamada E, Hayashi S (1996) Thermomechanical properties in a thin film of shape memory polymer of polyurethane series. In: Smart structures and materials 1996: Smart Materials Technologies and Biomimetics. https://doi.org/10.1117/12.232168
Tobushi H, Hara H, Yamada E, Hayashi S (1996) Thermomechanical properties in a thin film of shape memory polymer of polyurethane series. Smart Mater Struct 5. https://doi.org/10.1088/0964-1726/5/4/012
Bodaghi M, Damanpack AR, Liao WH (2017) Adaptive metamaterials by functionally graded 4D printing. Mater Des 135. https://doi.org/10.1016/j.matdes.2017.08.069
Wang J, Dai N, Jiang C et al (2021) Programmable shape-shifting 3D structures via frontal photopolymerization. Mater Des 198. https://doi.org/10.1016/j.matdes.2020.109381
Kuang X, Roach DJ, Hamel CM et al (2020) Materials, design, and fabrication of shape programmable polymers. Multifunct Mater 3. https://doi.org/10.1088/2399-7532/abbdc1
Wu S, Hu W, Ze Q et al (2020) Multifunctional magnetic soft composites: A review. Multifunct Mater 3. https://doi.org/10.1088/2399-7532/abcb0c
Li X, Shang J, Wang Z (2017) Intelligent materials: a review of applications in 4D printing. Assem Autom 37. https://doi.org/10.1108/AA-11-2015-093
Tabata M, Imai E, Yano H et al (2014) Design of a silica-aerogel-based cosmic dust collector for the Tanpopo mission aboard the International Space Station. Trans Japan Soc Aeronaut Sp Sci Aerosp Technol Japan 12. https://doi.org/10.2322/tastj.12.pk_29
Ganobjak M, Brunner S, Wernery J (2020) Aerogel materials for heritage buildings: materials, properties and case studies. J Cult Herit 42. https://doi.org/10.1016/j.culher.2019.09.007
Jones JR, Brauer DS, Hupa L, Greenspan DC (2016) Bioglass and bioactive glasses and their impact on healthcare. Int J Appl Glas Sci 7. https://doi.org/10.1111/ijag.12252
Ravitheja A, Reddy TCS, Sashidhar C (2019) Self-healing concrete with crystalline admixture—a review. J Wuhan Univ Technol Mater Sci Ed 34. https://doi.org/10.1007/s11595-019-2171-2
Garces JIT, Dollente IJ, Beltran AB et al (2021) Life cycle assessment of self-healing geopolymer concrete. Clean Eng Technol 4. https://doi.org/10.1016/j.clet.2021.100147
Jonas KC (1950) Stainless steel cloth as an internal prosthesis. Arch Surg 60. https://doi.org/10.1001/archsurg.1950.01250011230017
Wu H, Tan H, Chen L et al (2021) Stainless steel cloth modified by carbon nanoparticles of Chinese ink as scalable and high-performance anode in microbial fuel cell. Chin Chem Lett 32. https://doi.org/10.1016/j.cclet.2020.12.048
Li X, Shan W, Yang Y et al (2021) Limpet tooth-inspired painless microneedles fabricated by magnetic field-assisted 3D printing. Adv Funct Mater 31. https://doi.org/10.1002/adfm.202003725
Barber AH, Lu D, Pugno NM (2015) Extreme strength observed in limpet teeth. J R Soc Interface 12. https://doi.org/10.1098/rsif.2014.1326
Nguyen PQ, Courchesne NMD, Duraj-Thatte A et al (2018) Engineered living materials: prospects and challenges for using biological systems to direct the assembly of smart materials. Adv Mater 30. https://doi.org/10.1002/adma.201704847
Basheer AA (2020) Advances in the smart materials applications in the aerospace industries. Aircr Eng Aerosp Technol 92. https://doi.org/10.1108/aeat-02-2020-0040
Noor AK, Venneri SL, Paul DB, Hopkins MA (2000) Structures technology for future aerospace systems. Comput Struct 74. https://doi.org/10.1016/S0045-7949(99)00067-X
Crawley EF (1994) Intelligent structures for aerospace: a technology overview and assessment. AIAA J 32. https://doi.org/10.2514/3.12161
Hartl DJ, Lagoudas DC (2007) Aerospace applications of shape memory alloys. Proc Inst Mech Eng Part G J Aerosp Eng 221. https://doi.org/10.1243/09544100JAERO211
Abramovich H (2021) 7 Applications of Intelligent Materials in Structures. Intell Mater Struct. https://doi.org/10.1515/9783110726701
De Gao P (2002) Intelligent materials and structures. J Funct Mater Devices 8. https://doi.org/10.1515/9783110726701
Xu B (2022) A perspective on intelligent design of engineered materials and structures by interface mechanics. Mech Res Commun 119. https://doi.org/10.1016/j.mechrescom.2021.103668
(1990) Journal of intelligent material systems and structures. Mater Des 11. https://doi.org/10.1016/0261-3069(90)90079-y
Dammaschke T, Rodenberg TN, Schäfer E, Ott KHR (2006) Efficiency of the polymer bur SmartPrep compared with conventional tungsten carbide bud bur in dentin caries excavation. Oper Dent 31. https://doi.org/10.2341/05-24
Nomoto R, Komoriyama M, McCabe JF, Hirano S (2004) Effect of mixing method on the porosity of encapsulated glass ionomer cement. Dent Mater 20. https://doi.org/10.1016/j.dental.2004.03.0011
Perakis N, Belser UC, Magne P (2004) Final impressions: a review of material properties and description of a current technique. Int J Periodontics Restorative Dent 24. PMID:15119881
Wassell RW, Barker D, Walls AWG (2002) Crowns and other extra-coronal restorations: impression materials and technique. Br Dent J 192. https://doi.org/10.1038/sj.bdj.4801456a
Zhou Y, Parker CB, Joshi P et al (2021) 4D printing of stretchable supercapacitors via hybrid composite materials. Adv Mater Technol 6. https://doi.org/10.1002/admt.202001055
Cheng CY, Xie H, Xu ZY et al (2020) 4D printing of shape memory aliphatic copolyester via UV-assisted FDM strategy for medical protective devices. Chem Eng J 396. https://doi.org/10.1016/j.cej.2020.125242
Choong YYC, Maleksaeedi S, Eng H et al (2020) High speed 4D printing of shape memory polymers with nanosilica. Appl Mater Today 18. https://doi.org/10.1016/j.apmt.2019.100515
Javaid M, Haleem A (2020) Significant advancements of 4D printing in the field of orthopaedics. J Clin Orthop Trauma 11. https://doi.org/10.1016/j.jcot.2020.04.021
Yamamura S, Iwase E (2021) Hybrid hinge structure with elastic hinge on self-folding of 4D printing using a fused deposition modeling 3D printer. Mater Des 203. https://doi.org/10.1016/j.matdes.2021.109605
Shen B, Erol O, Fang L, Kang SH (2019) Programming the time into 3D printing: Current advances and future directions in 4D printing. Multifunct Mater 3. https://doi.org/10.1088/2399-7532/ab54ea
Hoa SV, Cai X (2020) Twisted composite structures made by 4D printing method. Compos Struct 238. https://doi.org/10.1016/j.compstruct.2020.111883
Van Hoa S, Cai X (2019) Twisted composite structures made by 4D printing method. In: Proceedings of the American Society for Composites - 34th Technical Conference, ASC 2019
Le Fer G, Becker ML (2020) 4D printing of resorbable complex shape-memory poly(propylene fumarate) star scaffolds. ACS Appl Mater Interfaces 12. https://doi.org/10.1021/acsami.0c01444
Agarwala S, Goh GL, Goh GD et al (2019) 3D and 4D printing of polymer/CNTs-based conductive composites. In: 3D and 4D printing of polymer nanocomposite materials: processes, applications, and challenges. https://doi.org/10.1016/B978-0-12-816805-9.00010-7
Yuan C, Wang F, Ge Q (2021) Multimaterial direct 4D printing of high stiffness structures with large bending curvature. Extrem Mech Lett 42. https://doi.org/10.1016/j.eml.2020.101122
Akbari S, Sakhaei AH, Kowsari K et al (2018) Enhanced multimaterial 4D printing with active hinges. Smart Mater Struct 27. https://doi.org/10.1088/1361-665X/aabe63
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This research is supported by National Natural Science Foundation of China (No. 51675226), Key Scientific and Technological Research Project of Jilin Province (No. 20180201055GX), Project of the International Science and Technology Cooperation of Jilin Province (No. 20170414043GH), and Industrial Innovation Project of Jilin Province (No. 20150204037SF).
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Farid, M.I., Wu, W., Guiwei, L. et al. Research on imminent enlargements of smart materials and structures towards novel 4D printing (4DP: SMs-SSs). Int J Adv Manuf Technol 126, 2803–2823 (2023). https://doi.org/10.1007/s00170-023-11180-z
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DOI: https://doi.org/10.1007/s00170-023-11180-z