Abstract
Considering variation of influent factors is a critical issue to enhance the robustness of sheet metal forming process in the product design process. The stochastic variability of uncontrollable factors results in the variations on the formed part which can lead to rejected parts. Since the inherent sources of variation in the sheet metal forming process comes from part-to-part, within batch and batch-to-batch variation. Therefore, the prediction and control of the variability influencing on the performance of the product is an essential demand of automotive and aeronautic manufacturers. Moreover, it is very necessary to have a numerically dedicated tool which predicts the process variability with a good confidence. In this paper, prediction of the variations of the formed part due to the variabilities of the sheet stamping process and the workpiece by numerical simulation will be carried out.
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References
Ledoux, Y., Sébastian, P., Samper, S.: Optimization method for stamping tolls under reliability constraints using genetic algorithms and finite element simulations. Journal of Materials Processing Technology 210, 474–486 (2010)
Lee, S.W., Yang, D.Y.: An assessment of numerical parameters influencing springback in explicit finite element analysis of sheet metal forming process. Journal of Materials Processing Technology 80-81, 60–67 (1998)
Jansson, T., Nilsson, L., Moshfegh, R.: Reliability analysis of a sheet metal forming process using Monte Carlo analysis and metamodels. Journal of Materials Processing Technology 202, 255–268 (2008)
Mattiasson, K., Thilderkvist, P., Strange, A., Samuelsson, A.: Simulation of springback in sheet metal forming. In: Shen, S., Dawson, P.R. (eds.) Proc. NUMIFORM 1995, Balkema, Rotterdam, The Netherlands, pp. 115–124 (1995)
He, N., Wagoner, R.H.: Springback simulation in sheet metal forming. In: Lee, J.K., Kinzel, G.L., Wagoner, R.H. (eds.) Proc. NUMISHEET 1996, pp. 308–315. Ohio State University, OH (1996)
Chung, W.J., Cho, J.W., Belytschko, T.: A study on dynamics effects of dynamic explicit FEM in sheet metal forming. In: Lee, J.K., Kinzel, G.L., Wagoner, R.H. (eds.) Proc. NUMISHEET 1996, pp. 414–420. Ohio State University (1996)
Li, K., Carden, W.P., Wagoner, R.H.: Simulation of springback. International Journal of Mechanical Sciences 44, 79–101 (2002)
Xu, W.L., Ma, C.H., Feng, W.J.: Sensitivity factors in springback simulation for sheet metal forming. Journal of Materials Processing Technology 22, 151–217 (2004)
Hill, R.: A theory of the yielding and plastic flow of anisotropic metal. Proc. R. Soc. Lond. A 193, 281–297 (1948)
Taylor, L.M., Cao, J., Karafillis, A.P., Boyce, M.C.: Numerical Simulation of Sheet Metal Forming. In: Proceedings of 2nd International Conference, NUMISHEET 1993, Ishehara, Japan (1993)
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Dim Nguyen, V., Adragna, PA., Lafon, P. (2013). Assessment of Sensitivity of Numerical Simulation in Sheet Metal Forming Process Applied for Robust Design. In: Abramovici, M., Stark, R. (eds) Smart Product Engineering. Lecture Notes in Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30817-8_48
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DOI: https://doi.org/10.1007/978-3-642-30817-8_48
Publisher Name: Springer, Berlin, Heidelberg
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