Stochastic analysis of a deep drawing process using finite element simulations
Source abstract
Abstract
A deep drawing process optimization procedure using finite element simulations is described in this paper. The cross tool geometry is used to demonstrate the procedure and its application to robust design. Taguchi´s fractional factorial design of experiments is applied to plan for the numerical simulations. Stochastic variations in three process parameters were considered and its impact on the part quality is determined using analysis of variance (ANOVA). The relative contribution of each process parameter is determined by using ANOVA. Contact friction conditions have a major role in the deep drawing of cross geometry compared to blank holder force and blank shape. The outcome of the process for a combination of the process parameters can be found from the reliability optimization procedure.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Metal Forming Simulation Techniques · Metallurgy and Material Forming · Advanced Numerical Analysis Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (8)
Show source-provided references
1. Bonte MHA. Optimization strategies for metal forming processes, PhD Thesis, Universiteit Twente, ISBN 978-90-365-2523-7, Enschede, The Netherlands
2. Simpson TW, Peplinski JD, Koch PN, Allen JK (2001) Metamodels for computer-based engineering design: survey and recommendations. Engineering with Computers 17:129–15010.1007/PL00007198 ↗
3. Taguchi G, Konishi S (1987) Taguchi method, orthogonal arrays and linear graphs. Tools for quality engineering. American supplier institute, pp 35–38
4. Duan X, Sheppard T (2002) Influence of forming parameters on the final subgrain size during hot rolling of aluminium alloys. J Mater Process Technol 130–131:245–24910.1016/S0924-0136(02)00811-7 ↗
5. Kleiber M, Rojek J, Stocki R (2002) Reliability assessment for sheet metal forming operations. Comput Methods Appl Mech Eng 191:4511–453210.1016/S0045-7825(02)00394-8 ↗
6. Menezes LF, Teodosiu C (2000) Three-dimensional numerical simulation of the deep-drawing process using solid finite elements. J Mater Process Technol 97:100–10610.1016/S0924-0136(99)00345-3 ↗
7. Maeder G (2005) Material forming and dimensioning problems: expectations from the car industry. In: Banabic D (ed) Proceedings of 8th ESAFORM conference on material forming. The publishing house of the Romanian academy, pp 11–20
8. Hill R (1948) A theory of the yielding and plastic flow of anisotropic metals. Proc R Soc Lond A 193:281–9710.1098/rspa.1948.0045 ↗