Robust processes and robust engineering are enjoying increasing interest throughout industry. Robust engineering is taking into account variations that can occur during manufacturing processes when we analyse or optimise them. Corus is interested in robust engineering, being a supplier of steel not just for its own processes but also for supporting customers. Robust engineering, if properly applied to e.g. the stamping process, ensures that the customer's forming process is stable and insensitive to material and process variations, thus reducing scrap rates. To analyse a stamping process for robustness input in terms of variation in process and material properties is needed. As a material supplier we focus on the variation in material properties. This paper deals with the effect of the material models used in simulation on the prediction of process variations as well as scrap rate. The effect of models on the variation itself is small, however, the effect on the average (and hence on e.g. scrap rate) is significant. Some examples of the capabilities of commercial software are also added.
for giving me the opportunity to work on this thesis and the guidance and support that I received throughout my work. I would also like to thank Pascal Kömmelt for sharing his expertise and enthusiasm on the subject. I extend my gratitude towards Dr. Yaiza Gonzalez Garcia for the insightful discussions on electrochemical aspects of this work. I am also grateful to Agnieszka Koojiman for her invaluable guidance and support in conducting the electrochemical experiments. I would also like to thank Ruud Hendrikx for his support on the XRD experiments, and Sander van Asperen and Kees Kwakernaak for their guidance on microscopy techniques. Last but not the least, I am grateful to my parents for their love, support and patience.
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