Abstract
Flexible pressure sensors, which are employed in robotic arms and electronic skin, are conventionally prepared using methods such three-dimensional printing, laser scribing, and spray coating. However, they are time-consuming and unsuitable for large-scale production. Thus, to overcome these limitations, roll-to-roll (R2R)-based fabrication techniques have been employed for low-cost mass production of flexible pressure sensors. Gravure printing is a promising R2R based technique, but it faces limitations in terms of ink-flow and printing defects causing short circuit, which may affect the performance of printed electronic devices. In this study, we analyzed the effects of printing conditions, web speed, tension, and nip pressure on the drag-out tail defects and conductance in the gravel printing process. We statistically optimized the optimal conditions to obtain minimum drag-out tail defects and conductance using a Box–Behnken design. We also fabricated two flexible pressure capacitive sensors using the conductive patterns to verify optimal conditions. Our results showed that the resistance decreased with increasing web speed, tension, and nip pressure, whereas the drag-out tail increased with increasing tension and nip pressure and decreasing web speed. Additionally, under the optimal conditions, the resistance and drag-out tail severity were improved by 74% and 53%, respectively, over those of the conventionally printed pattern. Finally, using the two flexible pressure capacitive sensors, we showed that the sensor using the conductive pattern had a higher sensitivity after optimization.
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1 Introduction
Roll-to-Roll (R2R) manufacturing processes have become a subject of interest because of their simplicity, low cost, and mass production. Because of these advantages, large-area flexible electronic devices, such as photovoltaics, fuel cells, and flexible sensors, have been fabricated using the R2R process [1, 2]. Notably, flexible pressure sensors can be used in robot arms and electronic skin [3,4,5,6,7,8,9,10]. To date, pressure sensors have been fabricated using three-dimensional printing, laser scribing, and spray coating [6, 11, 12]. These patterning methods are not adequate for the mass production of sensors and have low productivity and high production cost. Therefore, the R2R-based fabrication technique is essential for the low-cost and mass production of flexible pressure sensors. Gravure printing is a good candidate for making conductive patterns in the R2R process because of the long life of its printing roll and its high compatibility with the R2R process [13]. However, the behavior of ink in the printing phase is more complex than that of inkjet printing, spray, and slot-die coating, and several printing factors such as web speed and nip pressure have a major interactive effect on the printing quality, which significantly affects the performance of electronic devices such as thin film transistors and flexible capacitors [14,15,16]. Several research groups have attempted to improve printing quality and resolution. Nguyen et al. analyzed the effect of the tension on the surface characteristics of the web and evaluated the printed pattern quality using the thickness and surface roughness of the pattern [17]. Lee et al. proposed a theoretical model that could express the effect of the shear force in the transferred ink from an engraved cell to substrate and pattern angle on the volume of the printed pattern [18]. Lee et al. developed a meta model to determine the variation in the surface roughness according to the tension disturbance [19]. Kang et al. developed a method to optimize the tension in a R2R process considering the change in the elastic modulus of the plastic film and conductance of the printed pattern in a dryer [20].
As mentioned above, most previous studies have focused on the ink transfer mechanism in gravure printing and the volume of printed pattern, thickness, and surface roughness according to the printing conditions. Considering the severity of printing defects that can generate a short circuit and the conductance simultaneously is very important. The most representative defect that can lead to a short circuit is caused by the relative motion between the engraved cell and tip of the doctor blade [21]. The drag-out tail area is very thin compared to the conventional pattern because the ink inside the engraved cell is pushed out by the doctor blade. When electrons are concentrated in a very thin pattern, bottlenecks can occur, which in turn leads to an excessive voltage increase, resulting in a short circuit. This is because the severity of printing defects that can cause a short circuit and the conductance significantly affect the performance of printed electronic devices. However, few studies have been reported on printing defects and conductance with respect to the printing conditions [22].
In this study, we experimentally analyzed the effects of printing conditions, web speed, tension, and nip pressure on drag-out tail defects and conductance. Considering the results, optimal conditions minimizing the drag-out tail defect and conductance were statistically optimized using a Box–Behnken design. Finally, we fabricated two cases of flexible pressure capacitive sensors using the conductive patterns before and after optimization and experimentally verified that the sensor that uses the conductive pattern after the optimization has higher sensitivity than that before the optimization.
2 Factors Affecting the Conductance of the Printed Patterns and Drag-Out Tail Defect
The gravure printing process consists of four phases: inking, doctoring, ink transferring, and ink setting [23, 24]. In the inking phase, ink is deposited on the surface of the gravure printing roll. In the doctoring phase, the ink is filled in the engraved cell, and the ink on the roll surface is wiped out. The ink filled in the engraved pattern is transferred to the web by the nip roll during ink transferring. The transferred ink forms patterns according to the geometric shape of the engraved patterns. The volume of ink transferred to the web can be different according to the properties of the nip roll, such as stiffness, elastic modulus, and nip roll pressure. The printed patterns on the web are widened or agglomerated according to the difference between the surface tension of ink and the surface energy of the substrate in the ink setting. The ink transfer ratio at each phase can be calculated using Eq. (1)
where,
where \({\eta }_{T}\) denotes the ink transfer ratio; \({\eta }_{i}\), \({\eta }_{d}\), and \({\eta }_{it}\) denote the ink transfer ratios at the inking, doctoring, and ink transferring phases, respectively; Vbi and Vai denote the volumes of the ink filled in the engraved cell before and after the inking, respectively; and Vad and Vit denote the volumes of the ink in the engraved cell after doctoring and the volume of the ink transferred to the web, respectively.
Figure 1 presents the schematics of ink transfer in the doctoring and ink transferring. In ink transferring, the tension changes the surface energy of the web and affects the shape of the printed pattern. The web speed could affect Vit by changing the shear force of the ink transferred from the engraved cell to the web, as shown in the right-side image in Fig. 1 [25]. Vit could also be varied according to the nip pressure by changing the contact area between the ink in the engraved cell and web. Considering that the conductance can be changed according to Vit, the tension, web speed, and nip pressure were selected as the factors that affect the conductance. As mentioned earlier, the process variables of gravure printing affect the ink transfer ratio, which changes the thickness and width of pattern printed on the substrate. In addition, the change in pattern geometry leads to the change in resistance of the printed pattern depending on the process variables, even if the same ink is used [22].
The drag-out tail defect occurs because the fraction of the ink in the engraved cell is adhered under the tip of the doctor blade and drawn out from the cell after doctoring. Figure 2 shows the schematics of the doctoring phase and drag-out tail defects. Figure 2a–c show the behavior of the ink between the tip of the doctor blade and engraved cell (a) before the tip enters the engraved cell, (b) after the tip enters the engraved cell, and (c) after the doctoring, respectively. The doctor blade is fixed, and the gravure roll rotates from left to right as shown in the figure; the tip of the doctor blade leaves the engraved cell relatively. In Fig. 2a, an ink meniscus is formed between the tip and the surface of the roll. After the tip enters the engraved cell, the curvature of the meniscus is increased because the gap between the tip and the ink in the engraved cell increases, as shown in Fig. 2b. After doctoring, the fraction of the ink adhered during doctoring, shown in Fig. 2b, is drawn out to the roll surface, as shown in Fig. 2c. The volume of the drawn ink can be changed by changing the web speed [21]. If the volume of the drawn ink is excessively large, a drag-out tail defect is generated. The ink volume after doctoring is lower than that before doctoring by the amount of drawn ink. The drag-out tail defect could generate short circuits in multi-line based printed devices. Considering the behavior of ink in the doctoring, we selected the web speed as the factor affecting the severity of the drag-out tail defect.
3 Experiment
We analyzed the effects of the three selected factors on the conductance and drag-out tail defect and statically optimized the factors using the Box–Behnken design. Figure 3 shows (a) the structure of the R2R printing machine, and (b) the gravure printing section. Table 1 summarizes the properties of the polyethylene terephthalate (PET) film (CD-901, KOLON Inc., Korea) and silver ink (TEC-CO-030G, INKTEC Inc., Korea) [26]. We determined the range of the experimental conditions considering the specifications of the gravure printer and ink properties. The maximum web speed was determined by considering the minimum drying time to fully evaporate the solvent in the printed pattern. The maximum and minimum web speeds were determined to be 6 and 2 m/min, considering sufficient drying time and the amount of ink which is sufficient for the formation of the printed pattern according to the geometric shape of the engraved pattern transferred to the web in the ink transferring [27]. The range of the tension was set from 2 to 6 kgf considering the minimum tension that can be applied to the web in the machine and 3% of the tensile stress [28]. Considering the minimum nip pressure at which the sufficient ink is transferred to the substrate during ink transfer, we determined the range of the nip pressure from 0.4 to 0.55 MPa, and the maximum nip pressure in the R2R machine. Considering the poor doctoring quality at low doctoring pressure, we fixed the doctoring pressure to 0.6 MPa. The drying temperature was set to 150 °C considering the curing temperature of the ink according to the drying time, determined by the length of the dryer and the maximum web speed in this experiment [29, 30]. Figure 4 presents the images of the ink particle at (a) room temperature and (b) cured at 150 °C, respectively. Table 2 indicates the experimental order determined by the Box–Behnken design and the corresponding resistance and severity of the drag-out tail defect. The Box–Behnken design is generally used to statistically optimize the input conditions. This method has a smaller number of experiments and is safer than central composite design [27]. Figure 5 shows (a) the printed conductive pattern, (b) the resistance measurement line of length 54.4 mm and the region where the drag-out tail was measured in the same pattern. The representative value of the pattern resistance was measured as follows. The resistance of each of the 12 samples printed under same process conditions was measured, and the average value excluding the maximum and minimum values was taken. The severity of drag-out tail was evaluated by the average length of the drag-out tail. The images of the patterns were captured using a microscope (LV100ND, Nikon, Japan). The lengths of drag-out tail were measured at each point by dividing the distance from the end of the pattern to a point 500 µm away 10 equal parts. We measured the length of drag-out tail by referring to the study in Subramanian et al. [21]. Figure 6 shows the conductive pattern images for (a) case 1, (b) 5, (c) 6, and (d) 10, and the corresponding severity of the drag-out tail. Remaining cases in between 1 to 13 has been sorted as supplementary data by Figure S1. Figure 7 shows the main effects and interaction effects of the factors affecting the resistance of the printed patterns. One can observe that the resistance decreases with increasing web speed, tension, and nip pressure.
The surface roughness of the web decreases with increasing tension; accordingly, the surface energy of the web is increased. The ink transferred to the web is more widened after the ink transfer, and the printed pattern is more uniform, which could decrease the resistance [31, 32]. The increase in the web speed could increase the shear force generated in the ink between the engraved cell and the web during ink transfer. If the shear force is increased, more ink is transferred to the web; accordingly, the pattern resistance is decreased [18]. Figure 8 presents the forces applied at the ink in the engraved cell and (b) the conceptual figure of the behavior of the web by the increase in the nip pressure in the ink transferring. In Fig. 8a, FIS, FIC, and FI are the adhesive forces between the inks, the ink and engraved cell, and cohesive force in the ink, respectively. The ink transfer ratio increased with increasing FIS and FI. If FIS and FI are larger than FIC, the ink filled in the engraved cell is completely transferred to the web [22]. FIS is proportional to the product of the work of adhesive forces at the interface between the ink and web (WIS) and the contact length between the web and ink (LIS) [15]. If the nip pressure increases, LIS is increased, as shown in Fig. 8b; accordingly, the ink transfer ratio is also increased.
Figure 9 shows the main effects and interaction effects of the factors on drag-out tail. As shown, drag-out tail increases with increasing tension and nip pressure and decreasing web speed. As mentioned above, the ink transfer ratio in the ink transferring increased with increasing nip pressure. The printed pattern is more widened with higher tension. The increase in the nip pressure could also increase the transfer ratio of the ink forming the drag-out tail. Moreover, the transferred drag-out tail defect could widen in the higher tension. If the web speed is increased, the amount of drawn ink from the engraved cell in the doctoring is decreased, and therefore, the drag-out tail is decreased [21].
4 Optimization of Conductive Layer Considering Resistance and Drag-Out Tail Defect
Considering the experimental results shown in Sect. 3, we derived the optimal conditions of the factors. The desirability function was used to numerically evaluate the printed pattern quality considering the resistance and drag-out tail according to the factors. Equation (3) presents the desirability function used in the optimization [33, 34] as follows:
where dm denotes the desirability value; y the measured output value; T and M the target value and the permissible maximum value set by a user, respectively; and s the weight factor. We set s as 0.5
The overall desirability was calculated as the geometric mean of the desirability values of the resistance and drag-out tail, as shown in the following Eq. (4) [35]:
where dm,total denotes the overall desirability, and dm,r and dm,t denote the desirability values of the resistance and drag-out tail, respectively.
Using Eqs. (3) and (4), we obtained the optimal values of the web speed, tension, and nip pressure as 6 m/min, 6 kgf, and 0.5235 MPa, respectively. Figure 10 presents the overall desirability of all experimental cases in Table 3 and the optimal conditions. The number below each overall desirability is its experimental number, as shown in Table 3. The red and blue boxes represent the ideal desirability 1 and the overall desirability of the patterns printed in the optimal conditions, which is 0.8295. Figure 11 shows the conductive pattern obtained under the optimal conditions. The resistance and the drag-out tail severity were 30.87 \(\Omega\) and 74.37 µm, respectively. The resistance and the drag-out tail severity were improved by 74% and 53%, respectively, compared with the conductive pattern printed in the conventional case.
5 Application: Capacitive Pressure Sensor
We fabricated two pressure capacitive sensors using conductive patterns before and after optimization. Figure 12 presents (a) the schematics of the pressure capacitive sensor and (b) the fabricated sensor. The geometry of the measurement section was 6*6 mm. Barium titanate (BaTiO3) was used as the dielectric layer of the sensor, which was coated using slot-die coating process. Table 3 summarizes the properties of the dielectric ink.
Figure 13 presents (a) the ratio of capacitance between the capacitance values at each load and at the initial load conditions, and (b) their sensitivity. One can observe that the sensitivity of the sensor using the conductive pattern after the optimization is higher than that before the optimization at 0–35 kgf of load. In particular, the sensitivity of the sensor after optimization is much higher than before optimization in 0–10 kgf of load. When the resistance of the conductive layer decreases, more electrons with less energy loss can accumulate on the capacitor plate. As a result, the polarization of the dielectric layer becomes more active, which increases the capacitance. The maximum capacitance of a capacitor manufactured based on the conductive layer before improvement is 187.01 pF and that after improvement is 442.5 pF. Thus, the capacitance increased by about 236%. Further, the maximum sensitivity of the capacitor before and after improvement were 0.21 and 0.41, respectively, which suggests an improvement of about 195%. Moreover, the average sensitivities before and after the improvement was 0.021 and 0.041, respectively. The results clearly show that the sensor using the conductive pattern after the optimization has a much higher sensitivity than that before optimization.
6 Conclusion
Herein, the effects of the printing conditions, web speed, tension, and nip pressure on the drag-out tail defect and conductance were analyzed. It can be observed that the resistance decreases with increasing web speed, tension, and nip pressure. The drag-out tail increases with increasing tension and nip pressure and decreasing web speed. Considering these results, optimal conditions minimizing the drag-out tail defect and conductance were optimized using the Box–Behnken design. Under the optimal conditions, the resistance and drag-out tail severity are improved by 74% and 53%, respectively, compared with the conductive pattern printed in the conventional case. Finally, we fabricated two cases of flexible pressure capacitive sensors using the conductive patterns before and after the optimization, and experimentally verified that the sensor using the conductive pattern after the optimization has higher sensitivity than before the optimization.
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Acknowledgements
This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korea Government (MIST) (No. 2020R1A2C1012428) & (No. 2020R1A5A1019649).
Funding
This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korea Government (MIST) (No. 2020R1A2C1012428) & (No. 2020R1A5A1019649).
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Jo, M., Lee, J., Kim, S. et al. Resistance Control of an Additively Manufactured Conductive Layer in Roll-to-Roll Gravure Printing Systems. Int. J. of Precis. Eng. and Manuf.-Green Tech. 8, 817–828 (2021). https://doi.org/10.1007/s40684-021-00345-4
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DOI: https://doi.org/10.1007/s40684-021-00345-4