6.1. Virtual Trial of Medium-Size (B-Pillar) and Large-Size (Lateral) Tools
To evaluate the robustness of the substitute model against real industrial tools, a B-pillar tool (see
Figure 4a), which is a medium-size tool, was modeled together with the substitute model, and the deformations in the press table, ram and tooling were compared with the full-model-simulation results. It is important to highlight the fact that the substitute model of the press with the calibrated parameters that were previously determined in
Section 4 was used.
Figure 13 shows the comparison between the displacements predicted by the substitute-model and full-model simulations for the press table in the x- and y-axes. Note that the displacement is plotted across the center, front and back lines along the x-axis, and the center, left and right lines along the y-axis. Moreover, the displacements predicted by the substitute model were adjusted so that the displacement at the middle of the table and ram were equal to the full-model results.
As seen in the figure, the maximum displacement at the center of the table was about 0.71 mm. Moreover, the displacements predicted by the substitute model were in a quite good agreement with the full-model-simulation results. It is interesting to note that the deformed shape of both the table and ram along the centerline was identical for both models. However, there was a maximum deviation of e = 0.04 mm at the middle point of the front/back line along the x-axis. Moreover, the maximum deviation was about e = 0.05 mm at the edge of the center, left and right lines along the y-axis.
The displacement results of the ram along the x- and y-axes are shown in
Figure 14. The maximum displacement at the center of the ram was about 0.91 mm. As seen in the figure, the substitute model estimated a lesser displacement for the ram with respect to the full model, indicating that the substitute model of the ram was stiffer than the full model. The maximum deviation was about e = 0.22 mm at the left edge of the centerline along the x-axis, and e = 0.28 mm at the left edge of the centerline along the y-axis.
The displacement distributions on the active surfaces of the punch and die at the middle section of the models along the x- and y-axes are presented in
Figure 15a,b for the full model and substitute model, respectively. The displacement was magnified by a scale factor of 100 in order to further study the difference between the models and visualize the distance between the punch and die. As seen in the figures, the punch and die were deformed in opposite directions with respect to each other. This was clearer at the middle section along the y-axis (right images in
Figure 15 where a large gap between the punch and die was produced at the center point. Moreover, by comparing the range of the displacement between the full model and substitute model, it can be concluded that there was a good agreement between the two models. For further validation of the substitute model, as well as the quantification of the gap between the punch and die, the comparison between the displacements in the active surfaces of the punch and die for both the full model and substitute model is illustrated in
Figure 16 along the x- and y-axes, at different sections.
Figure 16a shows a maximum deviation of e = 0.07 mm at the right edge and e = 0.04 mm at the front edge of the centerline. However, the displacements predicted by the substitute model and full-model simulation were almost identical for the punch. This suggests that the substitute model was able to precisely predict the deformation of the punch and die. A closer look at the results displayed in
Figure 16 indicates a significance gap between the active surfaces of the punch and die that were directly related to the elastic behavior of the press and tooling. The elastic deformation along the contact interface between the punch and die amounted to a gap distance of g = 0.43 mm, g = 0.37 mm and g = 0.20 mm at X = −438 mm, X = 28 mm and X = 400 mm, respectively. The flat and valley pattern in
Figure 16a is due to the complex geometry of the active surfaces of the punch and die. In addition, the peak values can be associated to the regions in the contact interface that are located between the ribs structure, where the stiffness is not enough to restrict the elastic deformations.
The comparison between the displacement in the active surfaces of the punch and die for both the full model and substitute model along the y-axis is illustrated
Figure 16b–d for the middle, left and right sections, respectively. The results show a maximum deviation of e = 0.03 mm at the front edge along the left and right sections. However, the displacement predicted by the substitute-model and full-model simulations were almost identical along the middle section. The maximum elastic deformation along the contact interface between the punch and die amounted to a gap distance of g = 0.37 mm, g = 0.32 mm and g = 0.13 mm at the center point of the interface along the middle, left and right sections, respectively. The asymmetrical clearance in displacement was due to the application of the rib structure to the die and punch.
In order to validate the robustness of the substitute model against large-size tools (that are more sensitive to cambering), a side panel, called lateral (see
Figure 4b), was modeled together with the substitute model, and the deformations of the press and tool were compared with the full-model-simulation results. Just as with the B-pillar tools, the substitute model of the press with the calibrated parameters that were previously determined in
Section 4 was used. The comparison between the displacements predicted by the substitute-model and full-model simulation for the press table in the x- and y-axes is illustrated in
Figure 17.
The maximum displacement at the center of the table was about 0.8 mm. As seen in the figure, the displacements predicted by the substitute model were in quite good agreement with the full-model-simulation results, especially in x-direction, where both models predicted the same shape along the centerline. However, the maximum deviation of e = 0.08 mm appeared at the middle of the front edge along the x-axis and the right edge of the centerline along the y-axis.
Figure 18 shows the same results for the ram. The maximum displacement at the center of the table was about 1.25 mm. Furthermore, the maximum deviation between the substitute-model and full-model simulations was about e = 0.24 mm at the left edge of the centerline along the x-axis, and e = 0.23 mm at the right edge of the centerline along the y-axis. The deviation between the substitute-ram-model and the full-model-simulation results shown in
Figure 14 and
Figure 18 can be attributed to the shell thickness in the substitute model, which corresponded to the real dimensions of the press table and ram. In the full-model simulation, both the table and mounting surfaces of the ram contained holes and sleeves that were neglected in the substitute models. In this context, an optimization approach has to be developed in order to find the effective thickness of the shell elements in the substitute model.
Relative to the displacement distributions on the active surfaces of the tooling, the comparison between the displacements on the active surfaces of the punch and die for both the full model and substitute model are illustrated in
Figure 19a,b along the x- and y-axes, respectively. It can clearly be seen in the figure that the punch and die are deformed in opposite directions with respect to each other, providing evidence for the significance of the effects of press and tool elasticity on the industrial sheet-metal-forming process and real production tools. There was a very good agreement between the results predicted by both models, especially for the punch, for which the displacements predicted by the substitute-model and full-model simulations were almost identical along both the x- and y-axes. This is because the displacement of the punch was mainly dominated by the elastic deformation of the press table, for which the substitute model has less deviation with respect to the ram, as shown in
Figure 17 and
Figure 18.
Regarding the displacement on the active surface of the die,
Figure 19a,b show a maximum deviation of e = 0.17 mm at the left edge and e = 0.10 mm at the back edge of the centerline. Moreover, the maximum and minimum gap distances between the punch and die along the contact interface amounted to g = 2.19 mm and g = 1.18 mm at the middle and right edge of the centerline, respectively. In a real production, these gaps are the main cause of non-homogeneous pressure distribution on the equipment and must be compensated by manual rework during the trial in order to achieve a precise tool closure. Within the scope of the present study, accurate prediction of the final gap between the punch and die is a crucial factor for the employment of the new cambering strategy that is proposed in
Section 6.2.
In summary, it is worth mentioning that the computational time is enormously increased when including the elastic behavior of the press and tools, especially for complicated stamping parts in the early design stages before the trial phase. In this context, the new substitute model proposed in this study aims to remarkably shorten the calculation time while keeping the accuracy of the results. To shed light on the issue, the CPU conditions and time consumed for each simulation are listed in
Table 2 for both the full model and the substitute model developed in this study. As seen in
Table 2, the computational time of the FE substitute press model was reduced by approximately 96%, 77% and 72% for the four-pillars, B-pillar and Lateral tools, respectively.
6.2. Real Cambering of the B-Pillar Tool and Reduction of Trial Time
The B-Pillar tool that was available at Matrici S. Coop (the European leading company in dies and stamping tools for skin parts) was re-engineered with respect to the numerical results presented in the previous section. In order to quantify the influence of the cambering on the final product accuracy and to estimate the possible reduction in the trial time, two types of stamping were performed.
First, both the punch and die were machined using the nominal geometry and by applying a gap equal to the sheet thickness between them. Furthermore, all of the tools, including the punch, die and binder, were manually polished to the standard level used in the Matrici S. Coop. During the first stampings, a novel methodology was used to adjust the stop blocks that control the closing between the binder and die. Piezoelectric strain sensors from Kistler were used in four corners of the die in order to monitor the stop-block forces. The stop blocks were gauged until an acceptable balance of the closing force was found in the tool. The location of the sensors and the calibration of the stop blocks, which were performed in a universal compression machine, are shown in
Figure 20a,b.
Once the stop blocks were balanced, the stampings were performed using Fortiform 1050 third generation steel precuts. In order to measure the cambering effects, a lead check was performed on nine points of the tool (see
Figure 21). The use of lead pellets enables the measurement of the real gap between the die and punch at the closed state of the tool, when the precut is also included and suffers from thinning.
Secondly, the tool die was digitally cambered using the morphing option called Wrap Curve of the CATIA software. The cambering strategy was decided by the Matrici S. Coop after the numerical results of the substitutive models and the thinning values of AutoForm were analyzed. The punch geometry was not modified, and the sum of both elastic deflections suffered by the die and punch were applied to the die morphing.
The Wrap Curve operation of CATIA employs master curves to morph the surfaces. Three splines were defined (one in the top, one in the middle and one in the bottom of the die) for this purpose (see
Figure 21). The vertical displacement of the control points of the three splines are detailed in
Figure 22. Note that the cambering is not symmetrical within the vertical axis, which is the usual procedure used by the Matrici S. Coop for these types of reinforcement components.
The same procedure as the one used with the nominal gap tooling was used in the second stamping trial. The lead check was performed on the same points with the new cambering methodology after the stop blocks were balanced using the force measurements. All of the lead check results are shown in
Table 3.
The real gap measurements suggest that the new cambering methodology based on numerical results obtained from the substitutive models was able to reduce the trial time of the tooling. Even if the tool is a B-Pillar and small in comparison to other tools that are more sensitive to cambering, it was confirmed that at least one re-machining and polishing loop could be avoided with the new strategy. This can be understood by the analysis of the errors observed in each of the sections used in the virtual cambering.
Section one, which is defined by the points P1, P4 and P7, displays a maximum deviation in the vertical z-axis of 0.1 mm in the nominal gap tests in contrast with the error of 0.03 mm that was observed for the new cambering method. The same results were obtained for the third section, which is defined by the points P3, P6 and P9 of the tool. It is worth mentioning that without considering the central section, all of the tools would be within a gap error of 0.03 mm. It is likely that no polishing would be needed in order to obtain a good blue-spotting pattern.
The central section, section two, which is defined by the points P2, P5 and P8, exhibits a maximum error of 0.3 mm for the nominal gap tooling and 0.16 mm of error for the new cambering method. Although a significant improvement was achieved, the new cambering method was not able to fully correct the error due to the elastic deformation and thinning of the sheet. One new optimization loop by cambering the central point with 0.16 mm would probably yield a perfect contact between the punch, sheet and die, thereby offering a good blue-spotting pattern. On the contrary, having error in the two directions of the tool, such as in the nominal gap trials, would probably have required two new optimization loops and tool re-engineering.