Optimization of Manufacturing Tolerances on Sheet Metal Components in the Development Process

In an increasingly challenging environment of growing competition and stricter legal regulations, the concept of lightweight design gets more and more important for the automotive industry. Usually, the goals of lightweight tend to conflict with the robustness of the designs. The scattering of the geometry within the manufacturing tolerance leads to a divergence between the test bench results and the prediction from simulation. For an optimized lightweight design, this deviation will often lead to a violation of the requirements. In this case, the part has to be re-designed to improve its robustness, causing an additional time expense, higher costs and a higher weight.

[1]  Madhan Shridhar Phadke,et al.  Quality Engineering Using Robust Design , 1989 .

[2]  Federico Andrés Jourdan Computerunterstützte Toleranzfestlegung zur Qualitätssicherung und Optimierung der Fertigungskosten , 2003 .

[3]  Pavlos Dimitriou,et al.  Diesel Engine Combustion Optimization for Bio-Diesel Blends Using Taguchi and ANOVA Statistical Methods , 2013 .

[4]  Samih Zein,et al.  An Efficient Sampling Method for Regression-Based Polynomial Chaos Expansion , 2013 .

[5]  Bertrand Iooss,et al.  Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties , 2013, J. Simulation.

[6]  Arkadi Nemirovski,et al.  Robust optimization – methodology and applications , 2002, Math. Program..

[7]  Alexandre Janon Analyse de sensibilité et réduction de dimension. Application à l'océanographie , 2012 .

[8]  Zhifeng Liu,et al.  Robust design optimization: Ensuring robustness against uncertainty in structural design , 2013 .

[9]  Karl Iagnemma,et al.  A polynomial chaos approach to the analysis of vehicle dynamics under uncertainty , 2012 .

[10]  S. Kalla Use of orthogonal arrays, quasi-Monte Carlo sampling and kriging response models for reservoir simulation with many varying factors , 2005 .

[11]  Pritam Ranjan,et al.  Space-filling Latin hypercube designs based on randomization restrictions in factorial experiments , 2013 .

[12]  Gerhart I. Schuëller,et al.  Computational methods in optimization considering uncertainties – An overview , 2008 .

[13]  Bernhard Sendhoff,et al.  Robust Optimization - A Comprehensive Survey , 2007 .

[14]  Zhan Kang,et al.  Robust Design Optimization of Structures Under Uncertainties , 2005 .

[15]  Tae Hee Lee,et al.  Robust Design: An Overview , 2006 .

[16]  Saltelli Andrea,et al.  Global Sensitivity Analysis: The Primer , 2008 .

[17]  Dimitri P. Bertsekas,et al.  Constrained Optimization and Lagrange Multiplier Methods , 1982 .

[18]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[19]  S. Valliappan,et al.  Aging degradation of mechanical structures , 2008 .