Abstract
Background
The conventional isotropic elastic model neglects the anisotropy of sheet metals' elastic modulus, leading to inevitable errors in springback prediction.
Objective
Aiming at the problem of anisotropic springback in the forming process of sheet metals, an orthotropic elastic model was established in this study, and the applicability of the model was analyzed. An accurate and convenient numerical solution method was proposed, considering the challenge of calibrating model parameters through experimental measurement.
Methods
The reliability of the proposed parameter solution method is verified by uniaxial tensile and thin-walled tube torsion tests. To verify the anisotropic elastic model, both V-bending finite element simulation and experimental testing were conducted.
Results
The proposed parameter solution method has good prediction accuracy, with an average relative error within 5%. The three-group sample solution method significantly reduces experimental and data processing workload, demonstrating the precision and user-friendliness of this method. The proposed model yields a significant enhancement in springback prediction accuracy when compared to the conventional isotropic elastic model.
Conclusion
This study is basic research on the prediction of anisotropic springback, which can improve the simulation accuracy of the sheet metals forming process involving this problem, particularly in the anisotropic metal sheet stamping process.
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Introduction
The springback phenomenon is a significant engineering problem that arises in the production of sheet metal-formed products. The occurrence of springback after unloading of the forming tool will result in additional deviations in the shape and size of the parts. This was more pronounced during sheet metal forming compared to other methods of forming (i.e. bulk forming) [1, 2], owing to the small thickness of the material.
Sheet metals usually exhibit a certain initial elastic anisotropy mainly due to crystallographic texture, which is caused by the previous production steps rolling and annealing [3]. During the process of sheet metals forming, every particle on the part undergoes elastic–plastic loading and unloading, in which plastic loading and unloading are also accompanied by elastic deformation. The elastic deformation exerts a significant influence on the accumulation of plastic deformation and the accuracy of springback prediction [4]. The accuracy of describing elastic deformation is closely related to the adopted elastic constitutive model. However, the conventional isotropic elastic model neglects the anisotropy of sheet metals' elastic modulus, leading to inevitable errors in springback prediction. The anisotropic elastic properties of the rolled sheet make it necessary to consider the impact of this difference in springback prediction, and compensation for springback in different directions must also be adjusted accordingly. In other words, for example, the elastic modulus of the sheet metal rolling direction and the vertical direction are not equal, then the amount of springback will also be different. Therefore, it is crucial to establish a constitutive model that can precisely describe the anisotropic elastic behavior for accurate prediction of part forming and springback.
Over the past few years, the research on elastic modulus mainly focuses on the nonlinear evolution of elastic modulus. The elastic modulus of certain materials exhibits significant deviation after plastic deformation, prompting numerous scholars to conduct research on such materials with varying elastic modulus. Yoshida and Amaishi [4] proposed an evolution model of elastic modulus to describe the nonlinear stress-strain response during the unloading–reloading process. Sun and Wagoner [5] observed that the unloading modulus was reduced by 30% compared to Young's modulus by loading and unloading DP780 and DP980 steels. Zajkani and Hajbarati [6, 7] captured the variable unloading modulus through the nonlinear function of plastic strain. Meng et al. [8] applied the nonlinear elastic model proposed by Yoshida and Amaishi to the springback prediction of 6061 aluminum alloy. Chang et al. [9] analyzed the variation of unloading elastic modulus and inelastic recovery with strain through cyclic loading-unloading tests and established a correlation model between unloading elastic modulus and real plastic strain. Aerens et al. [10] considered the evolution of elastic modulus to study the relationship between the angle accuracy of air bending and the calculated stroke accuracy. Liu et al. [11] proposed a mathematical model considering the evolution of elastic modulus and applied it to three-dimensional finite element analysis to simulate the cold rolling process. Yang et al. [12] developed an analytical model considering the change of elastic modulus to predict the springback of advanced high-strength steel in air bending. Mehrabi et al. [13] proposed a new analytical method to predict the bending and springback behavior of hexagonal close-packed metal sheets by combining the variable elastic modulus method. The above reports have studied the influence of elastic modulus degradation on springback during unloading and reloading, but neglected the directionality of elastic modulus, that is, anisotropic elasticity. It appears that scholars have not given sufficient attention to the anisotropic elasticity aspect of the springback problem.
In addition to the variable elastic modulus discussed above, the study of springback mainly focuses on the hardening model, complex loading and anisotropic yield function. The Yoshida-Uemori (Y-U) nonlinear hardening model [14,15,16,17,18,19] and Chaboche kinematic hardening model [20,21,22] were used to study the springback. Choi et al. [23] improved the Homogeneous anisotropic hardening model (HAH) to predict springback. Julsri et al. [24] explained the effect of material hardening on the springback prediction of advanced high strength steel based on microstructure modeling. Sumikawa et al. [25, 26] proposed a new material model considering nonlinear behavior and applied it to the pressing test and corresponding springback analysis of bent hat-shaped parts. Leu [27], Zhu et al. [28], Ouakdi et al. [29], Zhai et al. [30], Wang et al. [31], Kut et al. [32], Zhan et al. [33] studied the influence of complex loading on springback. In recent studies, the anisotropic yield criterion was introduced into the study of springback prediction [34,35,36,37,38]. However, Marko et al. [39] given the conclusion that accurate modelling only of anisotropic yielding was not enough to accurately predict the springback phenomenon. The constitutive model should also include the strain path-dependent change of the elastic modulus. When most studies above do not center on the elastic modulus, in order to simplify, the elastic model is treated as isotropic linear elasticity, which undoubtedly increases the error of springback prediction.
The accuracy of the anisotropic elastic model's description is directly dependent on the quality of experimental data used to calibrate its coefficients, which include elastic modulus, Poisson's ratio and shear modulus. The elastic modulus and Poisson's ratio can be determined through uniaxial tensile tests conducted at various angles relative to the rolling direction of the sheet. However, due to the negligible elastic deformation in the thickness direction of metal sheets, it is impractical to experimentally measure or calculate the elastic parameters in this direction using volume invariance as applied to plastic deformation. The shear modulus can be obtained by pure shear test. Although effective shear stress-strain curves can be obtained by tensile shear tests, but there is always a risk of instability failure [40, 41].Therefore, the torsional shear test is selected avoid this situation. Ballo et al. [42] and Bhaduri [43] theoretically analyzed and experimentally verified the feasibility of thin-walled tube torsion experiments. However, implementing torsion experiments on metal sheets poses numerous challenges. Firstly, the sheet must be rolled into a slender tube and welded, which is a complex process. Secondly, thin-walled tube torsion experiments may result in failure problems such as torsional instability or damage at both ends due to loading forces. Thus, many special tube torsion specimens were designed [44,45,46,47]. From the preceding discussion, it is evident that both the elastic parameters pertaining to thickness direction and shear modulus are difficult to measure experimentally. Therefore, a convenient approach is required for obtaining these parameters.
The current research on springback is primarily focused on the field of sheet metals stamping, and further investigation into the influence of anisotropic elastic properties unique to rolled sheet metals on this issue is necessary. The paper is organized as follows. The orthotropic two-dimensional elastic constitutive model for metal sheets is established in “Elasticity constitutive model” section and then a necessary and sufficient condition to assess its applicability is proposed in “Analysis of model applicability” section. Based on this, a practical numerical solution method called the error function extremum method (ERFM) was proposed for calibrating model parameters in “Calibration method of elastic parameters” section. In “Experiment” section, experiments to obtain input data and validation data were carried out. We finally discuss in “Results and discussions” section the reliability of the parameters solving method and the superiority of the orthotropic elastic model.
Elasticity Constitutive Model
Isotropic Elastic Model
If a material exhibits identical mechanical properties in all directions, it is considered isotropic. In such cases, only two independent coefficients are required for the elastic constitutive relation. The isotropic elastic constitutive relation is expressed as
where E and ν are elastic constants.
The shear modulus can be expressed as
Orthotropic Elastic Model
The orthotropic elastic constitutive model is based on three basic assumptions: The metal sheet possesses three anisotropic principal axes that are mutually perpendicular to each other; The metal sheet exhibits linear elasticity in elastic deformation; The metal sheet is subjected to a two-dimensional plane stress state.
Concepts and definitions
The three spindles are identified by the numbers 1, 2 and 3. Without loss of generality, assume that the 1-axis is aligned with the rolling direction of the metal sheet. A uniaxial tensile specimen can be used to determine the elastic modulus and two Poisson's ratios. By conducting a uniaxial tensile test along the 1-axis, three experimental values of E1, ν12 and ν13 can be obtained as an example. The setting of the material spindle and reference coordinate system is shown in Fig. 1.
Constitutive equation
For general anisotropic linear elastic materials, stress and strain have a linear relationship. It is
where \(\left\{ {\varepsilon_i} \right\} = {\left\{ {{\varepsilon_x},{\varepsilon_y},{\varepsilon_z},{\gamma_{yz}},{\gamma_{zx}},{\gamma_{xy}}} \right\}^{\text{T}}}\) is strain vector, \(\left\{ {\sigma_i} \right\} = {\left\{ {{\sigma_x},{\sigma_y},{\sigma_z},{\tau_{yz}},{\tau_{zx}},{\tau_{xy}}} \right\}^{\text{T}}}\) is stress vector, [Sij] is flexibility matrix, i, j = 1,2,3…6. From the energy density of elastic deformation, it can be proved that the flexibility matrix is a symmetric matrix. Therefore, only twenty-one of the thirty-six coefficients in the matrix are independent.
From the energy density of elastic deformation and symmetry, it can be proved that only nine coefficients in the flexibility matrix are independent, while all remaining coefficients are equal to zero. Under a two-dimensional plane stress state, there are \({\sigma_{\text{z}}}{\,=\,}{\tau_{yz}} = {\tau_{zx}} = 0\), \({\gamma_{{\text{yz}}}} = {\gamma_{zx}} = 0\). The expression of the constitutive equation matrix for an orthotropic metal sheet subjected to a two-dimensional plane stress state is therefore as follows:
Obviously, when equation (4) is expanded, the coefficients S33, S44 and S55 are absent in the constitutive equation. There are only six independent undetermined coefficients in equation (5) now.
The uniaxial tensile test conducted in the 1-axis direction obtains E1, ν12, and ν13; while that performed in the 2-axis direction provides E2, ν21, and ν23. Additionally, a pure shear test on the section aligned with the x-axis can determine G12. By substituting these experimental values into equation (5), the anisotropic undetermined coefficients can be obtained. There are
Analysis of Model Applicability
To assess the applicability of the orthotropic elastic model, necessary and sufficient conditions for evaluating linearly elastic orthotropic metal sheets were established based on fundamental definitions of elastic modulus and Poisson's ratio. In this study, the metal sheet that satisfies the orthotropic elastic constitutive equation and its corresponding stress-strain relationship is referred to as an orthotropic metal sheet; otherwise, it is classified as a non-orthogonal anisotropic metal sheet.
Necessary Condition
According to equation (5), there is S12 = S21. It is
Equation (7) indicates that the elastic coefficient of the orthotropic metal sheet must meet the aforementioned relationship, which is a necessary condition for judging the orthotropic metal sheet.
Sufficient Condition
Due to the orthogonal anisotropy of the metal sheet, both elastic modulus and Poisson's ratio can be considered as functions of the sampling azimuth angleα (as shown in Fig. 1). When subjected to uniaxial tension along any direction, tensor transformation relationship can be obtained as
Substituting equation (8) into equation (5), and then into equations (9) and (10), there are
According to the aforementioned definitions of elastic modulus, width Poisson's ratio and thickness Poisson's ratio, there are
where the domain of α is \([0,\frac{\pi }{2}]\). Therefore, when uniaxial tension is sampled in arbitrary direction α, the corresponding elastic modulus, width Poisson's ratio and thickness Poisson's ratio are substituted into equatios (14), (15) and (16). Three equations can be obtained, in which only S66 remains unknown while the remaining parameters are determined by equation (6). Therefore, there must exist two equations that are independent.
Make
There is
Substituting equation (18) into equations (14) and (15), there is
That is
Similarly, solving equations (14) and (16) simultaneously can obtain
Substituting equations (6) and (7) into equations (20) and (21), the sufficient condition for judging the orthotropic metal sheet is established.
Equation (22) indicates that, in the case of orthotropic metal sheets, the uniaxial tensile test values along arbitrary directions must satisfy the above relationship. Thus, the necessary and sufficient conditions for distinguishing orthotropic metal sheets have been established. The necessary and sufficient conditions show that the true orthotropic metal sheet is only the one that satisfies both necessary and sufficient conditions. When the necessary and sufficient conditions are satisfied, equation (5) can yield more precise prediction results.
Obviously, when E1 = E2,ν12 = ν21 = ν13 = ν23, the isotropic elastic constitutive also conforms to the above necessary and sufficient conditions. It can be seen that isotropic elastic constitutive is only an ideal case of orthotropic elastic constitutive. Therefore, the orthotropic elastic constitutive can more comprehensively and truly characterize the elastic deformation behavior of materials.
Calibration Method of Elastic Parameters
The parameters of the orthotropic elastic model involve Poisson's ratio in the thickness direction and shear modulus, which are difficult to measure by experiment. Additionally, most metal sheets generally do not strictly meet the above necessary and sufficient conditions. Therefore, a numerical method for solving elastic parameters is established based on the approximate satisfaction degree of different types of metal sheets to necessary and sufficient conditions, that is, the error extreme value function method.
The Orthotropic Metal Sheet
For the orthotropic metal sheet, all the anisotropic parameters except S66 in equation (5) can be determined through uniaxial tensile tests conducted along the material's principal 1-axes and 2-axes directions. Then S66 can be uniquely determined by any one of the equations (14–16). α is an arbitrary value between \([0,\frac{\pi }{2}]\). Without losing generality, take \([\alpha = \frac{\pi }{4}\), and substitute equation (6) into equation (14). After simplification, it can be obtained as
Substituting \(\alpha = \frac{\pi }{4}\) into equation (22), there is
Substituting the first equation in equation (24) into equation (23) is
That is
It can be seen from equation (26) that the shear modulus of the orthotropic metal sheet can be indirectly obtained through uniaxial tensile testing in direction \(\alpha {\,=\,}\frac{\pi }{4}\).
The Non-orthogonal Anisotropic Metal Sheet
For non-orthogonal anisotropic metal sheets, the comprehensive error function methods for solving the approximate values of anisotropic elastic parameters are established. Make the experimental data obtained from uniaxial tension along the direction \({\alpha_i}\) be \({E^{(i)}},{\nu^{(i)}},{\nu_t}^{(i)}{\kern 1pt} {\kern 1pt} \left( {i = 1,2,...n} \right)\), then the comprehensive relative error function can be constructed from the equations (14–16). Where \(S = ({S_{11}},\,{S_{12}},\,{S_{13}},\,{S_{22}},\,{S_{23}},\,{S_{66}})\).
Unconstrained extremum value method for multi-group samples
Within the domain \(\left[ {0,\frac{\pi }{2}} \right]\) of \(\alpha\), n groups of experimental data \({E^{(i)}},{\nu^{(i)}},{\nu_t}^{(i)}{\kern 1pt} {\kern 1pt} \left( {i = 1,2,...{\text{n}}} \right)\) can be obtained by n groups of uniaxial tension samples. Making the fitting function of experimental data are
Then the error function equation (27) can be written in integral form. It is
When the metal sheet does not meet either the necessary condition or the sufficient condition, the anisotropy coefficient S can be obtained by solving the extremum stagnation point of the multivariate function equation (29).
Endpoint constraint condition extremum method for multi-group samples
When the metal sheet satisfies only the necessary conditions, the endpoint constraint conditions are introduced. That is
Substituting equation (30) into equations (14–16) are
Under the constraint condition of equation (31), S66 can be obtained by solving the conditional extremum stagnation point of equation (29). It is worth noting that, in this case, the fitting function equation (28) of the experimental data should also satisfy the endpoint constraints. There are
Unconstrained extremum method for three-group samples
In order to minimize the amount of experiments and data processing, it is necessary to analyze and compare the accuracy of the elastic anisotropy coefficients obtained from the uniaxial tensile test data in the directions \(\alpha = 0,\frac{\pi }{4},\frac{\pi }{2}\).When three-group experiment data are used, \(i = 1,2,3\) in equation (29) corresponds to \({\alpha_i} = 0,\frac{\pi }{4},\frac{\pi }{2}\), and the error function is the sum of nine items. It can be seen from the equations (14–16) that
When the metal sheet does not meet either the necessary or the sufficient conditions, the anisotropic coefficient S can be obtained by substituting equation (33) into equation (27) and solving the unconstrained extremum stationary point of the error function.
Endpoint constraint condition extremum method for three-group samples
When the metal sheet only meets the necessary conditions, the endpoint constraint condition equation (30) is introduced. Under the constraint condition equation (31), there are only three items in the error function equation (29). It is
where E(2) is the elastic modulus of the uniaxial tensile sample in direction \(\alpha=\frac\pi4\), ν(2) is the corresponding Poisson's ratio in the width direction, νt(2) is the corresponding Poisson's ratio in the thickness direction. For the convenience of the following derivation, it is expressed by E45, ν45 and νt45, respectively. Substituting equation (33) into equation (34) is
It can be seen from the constraint equation (32) that only S66 remains to be determined in equation (34). So, make
Then equation (35) is simplified to
Make \(\frac{{d}_{\phi}}{{dS}_{66}}=\frac{{d}_{\phi}}{dx}\cdot \frac{dx}{{dS}_{66}}= 0\), there is \(\frac{{d}_{\varnothing }}{dx}=0\). That is
After simplification, it is
Substituting equation (31) into equation (36) is
Thus
Substituting the correlation coefficient in equation (31) into equation (42) is
In summary, when the metal sheet neither meets the necessary nor the sufficient conditions, the anisotropic coefficients S are obtained by numerically solving the unconstrained extremum stagnation point of the above error function. When the metal sheet does not meet the necessary conditions or sufficient conditions, the analytical expression of S66 is obtained by solving the extremum stagnation point of the endpoint constraint condition, and the shear modulus G12 is obtained.
It should be noted that in the case of metal sheets, the acquisition of the experimental value of Poisson's ratio in the thickness direction is severely limited by the accuracy of the measuring instrument. By analyzing the composition characteristics of equation (5), the anisotropic parameters related to Poisson's ratio in the thickness direction are S13 and S23, and both only appear in the strain expression in the thickness direction. Therefore, when the practical application focuses on the calculation results of strain inside the sheet plane rather than the strain in the direction of sheet thickness, the third formula in equation (5) can be ignored. In this case, remove the relevant items of S13 and S23 in all the previous discussions. However, in this study, to calculate the error function more comprehensively, the Poisson's ratio in the thickness direction is taken as the experimental value at an angle of 45° with the rolling direction of the sheet.
Experiment
Uniaxial Tension Test
DC01, DC04, DC06 and 6061 sheets are selected as the research objects, the standard uniaxial tensile were sampled along the rolling direction of 0°, 15°, 30°, 45°, 60°, 75° and 90°, respectively. The size of the sample is shown in Fig. 2. The uniaxial tensile test was carried out on the Inspekt100kN electronic universal material testing machine, and the gauge elongation and width reduction during the tensile process were recorded by the longitudinal extensometer and the wide extensometer respectively. The average strain rate was 9E-4 s−1 for longitudinal strain at room temperature.
Thin-walled Tube Torsion Experiment
Different from the common uniaxial tensile experiment, the thin-walled tube torsion test has many difficulties, as mentioned above. Therefore, it is necessary to introduce the experiment in detail and carry out finite element simulation to verify the reliability of the experiment.
Finite element model
The diameter of the thin-walled tube torsion specimen used should be as small as possible and the length as long as possible. But, considering the factors such as preparation conditions and test equipment, the designed specimen size is shown in Fig. 3.
The finite element model consists of a tube and two mandrels. The tube adopts the shell element type, and the mandrels adopt the discrete rigid body element type. The outer surface of the mandrels and the outer surface of both ends of the tube are set as coupling constraints. To ensure that the model is close to the actual torsion experiment, the boundary condition of the model is a fixed section, and the other end is applied with the torsion load. The model is meshed by hexahedral elements, as shown in Fig. 4.
Sample preparation and torsion experiment
The preparation process of the torsion sample is shown in Fig. 5.
Through the process shown in Fig. 5, the influence of the weld on the pipe sample can be minimized. To avoid the deformation of both ends of the circular tube due to the clamping force, a pair of metal plugs with the size shown in Fig. 6 was designed. The outer diameter of the plug and the inner diameter of the tube are clearance fit.
The torsion experiment was carried out on a 2ND3005 microcomputer-controlled electronic torsion testing machine, and the deformation of the sample was recorded by sticking a strain gauge. The average torsion rate of the torsion specimen was 0.5°/min at room temperature.
V-bending Experiment
To verify the orthotropic elastic constitutive model, DC04 and 6061 were selected to carry out V- bending experiments in 0° and 90° directions.
Finite element model
The traditional isotropic elastic model and the established anisotropic elastic model were used to simulate the V-bending experiment. The finite element size and material property parameters of the specimen are shown in Fig. 7 and Table 1, respectively. In order to eliminate the influence factors other than anisotropic elasticity, the same hardening function is used for the bending deformation in different directions, which ensures that the bending deformation in different directions is affected by the equivalent plastic deformation.
As shown in Fig. 8, the finite element model consists of a punch, a die and a sample, where the die is a rotatable rigid body. The hexahedral element type is used to divide the mesh and the symmetry constraint is used to simplify the model. The punch fillet is 2 mm, the die fillet is 15 mm, and the die distance is 90 mm. When the model is working, the punch is pressed down 30 mm and then unloaded to obtain the sample after springback.
Experiment
The rectangular samples were cut at 0° and 90° along the rolling direction. The V-bending experiments were carried out on the mold shown in Fig. 9. The punch pressing rate was 5 mm/min at room temperature.
Results and Discussions
Uniaxial Tensile
The experimental curves of the elastic stage in seven directions are shown in Fig. 10, where S is true stress, HR is the strain in the longitudinal direction of the sample, TR is the strain in the transverse direction of the sample.
The elastic stage of the experimental curve is fitted to obtain the elastic constants. According to equations (7) and (22), calculate and judge whether the sheet meets the necessary and sufficient conditions. It should be noted that satisfying the necessary and sufficient conditions does not mean absolute equality. However, when the relative error between the two is less than 5%, the two are approximately equal. The calculation and judgment results are shown in Table 2.
Thin-walled Tube Torsion
The shear stress-strain curves and simulation results obtained from the torsion experiment are shown in Fig. 11. It can be seen from Fig. 11 that the simulation and test curves are close, indicating the reliability of the torsion test.
The experiment and simulation results of shear modulus shown in Table 3 were obtained by fitting the shear stress-strain elastic stage curve.
Error Function Calculation
For the convenience of expression, the above error function methods (ERFM) are renamed, and the new names are shown in Table 4.
According to the results of Table 2, DC01 only satisfies the sufficient condition, DC04 only satisfies the necessary condition, DC06 neither satisfies the sufficient condition nor the necessary condition, and 6061 satisfies both. Therefore, the DC06 is calculated using the ERFM1 and ERFM3 methods, and the DC01 and DC04 are calculated using the ERFM2 and ERFM4 methods. The solving results are given in Table 5.
The calculation results of ERFM1 and ERFM3 in Table 5 are brought into equations (14–16), and the elastic parameters in all directions are given in Table 6.
Figure 12 is the comparison results of the ERFM and the experiment. The comparison results show that the maximum relative error of elastic modulus is 3.62%, the maximum relative error of width-Poisson 's ratio is 8.82%, and the maximum relative error of thickness-Poisson 's ratio is 1.67%. It can be found from Fig. 12b that there are two abnormal convex points with large relative errors. If the experimental error is considered, such experimental points should be rounded off. Therefore, from the average value, the ERFM is proved to be reliable. In addition, compared with the ERFM1 overall, the average accuracy of the ERFM3 method is worse, but less than 5%. Therefore, under the premise of satisfying the accuracy, the ERFM3 (the ERFM for three-group samples) can be selected to solve the parameters, which greatly reduces the experimental amount.
According to Table 5 and equation (26), the shear modulus G12 are given in Table 7. Figure 13 is the comparison of the Shear modulus between ERFM and the experiment. It can be seen from Fig. 13 that the maximum relative error between ERFM and the experiment is 4.13%, which proves the accuracy of the ERFM. In addition, for the orthotropic metal sheet, the shear modulus calculated by equation (26) is accurate.
V-bending Experiment
In the bending experiment, according to the principle of plastic work equivalence, the plastic strain of bending deformation in different directions is equal by calculating the downward pressure of bending, so the influence of plastic deformation in different directions is almost equivalent. The measurement of the springback angle of the specimen is shown in Fig. 13. The bending angle at loading is 94.4°. The specimens after unloading are shown in Fig. 14.
The comparison of V-bending experiments and simulation results of DC04 and 6061 is shown in Fig. 15. The columns in the figure are the simulation results of isotropic elastic model and anisotropic model, respectively. Where the dotted line is the bending angle of the specimen at loading, the red line is the bending angle of the specimen in the 0° direction after unloading, and the blue line is the bending angle of the specimen in the 90° direction after unloading.
In Fig. 15, the comparison between the red line and the blue line shows that there are obvious differences in the bending angles of the samples in different directions after unloading, which proves that anisotropic elasticity has an important influence on springback. However, this difference has not been well predicted by the isotropic elastic model, while the anisotropic elastic model shows satisfactory results, and the predicted springback differences in different directions are in good agreement with the experimental results.
The comprehensive error function shown in equation (44) is established to evaluate the prediction accuracy of different elastic models. Equation (44) represents the sum of relative errors in different directions, that is, the comprehensive error. The calculation results of the error function are given in Fig. 16.
where \({{\theta }_{\alpha }}^{\mathrm{pre}}\) and \({{\theta }_{\alpha }}^{\mathrm{exp}}\) are the predicted and experimental values in the 0° and 90° directions, respectively.
It can be seen from Fig. 16 that the comprehensive error of the anisotropic elastic model is significantly smaller than that of the isotropic model, indicating that the anisotropic elastic model can significantly improve the prediction accuracy of springback. Combined with the necessary and sufficient conditions as well as Fig. 16, it can be concluded that 6061 satisfies both the necessary and sufficient conditions while DC04 only fulfills the necessary ones. Obviously, the comprehensive error of 6061 is smaller than that of DC04, indicating that the anisotropic elastic model has higher prediction accuracy for materials that meet the necessary and sufficient conditions.
Conclusion
Aiming at the problem of anisotropic springback in the forming process of sheet metals, an orthotropic elastic model was established that can effectively improve the problem, and the necessary and sufficient conditions for judging the applicability of the model were given. Considering the difficulty of calibrating model parameters, a precise and user-friendly numerical solution method has been proposed. The established orthotropic elastic model was verified through V-bending simulation and experimentation. The following conclusions are obtained:
-
1.
The V-bending test results obtained from different orientations of the sheet exhibit significant variations, which proves the obvious influence of the anisotropic springback problem in the forming process of the rolled sheet metals.
-
2.
Compared to the conventional isotropic elastic model, the established orthotropic elastic model can significantly enhance the accuracy of springback prediction.
-
3.
A necessary and sufficient criterion for assessing the applicability of the model is proposed, which, when satisfied, enables the established orthotropic elastic model to more accurately predict springback.
-
4.
The proposed error function extremum method for calibrating elastic parameters has good prediction accuracy, with an average relative error within 5%. The three-group sample solution method significantly reduces experimental and data processing workload, demonstrating the precision and user-friendliness of this method.
Prospect
In this paper, the issue of anisotropic springback in sheet metals was investigated, but there are still numerous limitations that need to be addressed. Firstly, the linear elastic assumption of the elastic modulus fails to accurately describe the deformation-induced evolution of the elastic modulus in practical applications. Secondly, the proposed necessary and sufficient conditions only provide a rough assessment of satisfaction and non-satisfaction, lacking quantitative analysis of varying degrees of satisfaction as well as other related issues. The author shall delve deeper into these contents in the future.
Data Availability
The authors confirm that the data supporting the findings of this study are available within the article.
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Zhang, Y., Duan, Y., Fu, P. et al. On Orthotropic Elastic Constitutive Modeling for Springback Prediction. Exp Mech 64, 3–19 (2024). https://doi.org/10.1007/s11340-023-01005-1
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DOI: https://doi.org/10.1007/s11340-023-01005-1