This chapter discusses the application of advanced modelling tools in the plastic forming and processing of metals. The tools include numerical modelling techniques, such as the finite element method (FEM), and more recently, artificial intelligence techniques, such as various types of artificial neural networks as well as data mining. Examples of real production processes, such as the production of sheet by rolling, deep drawing of stainless steel kitchen sinks, continuous extrusion of electrical conductors as well cutting of metal and tube hydroforming, will be presented. It is shown that defects can be avoided and tool life increased through optimization of plastic forming processes.
|Title of host publication||Metal Forming Science and Practice|
|Subtitle of host publication||A State-of-the Art Volume in Honour of Professor J.A.Schey's 80th Birthday|
|Publication status||Published - 8 Oct 2002|
|MoE publication type||D2 Article in professional manuals or guides or professional information systems or text book material|
Manninen, T., Larkiola, J., Cser, L., Revuelta, A., & Korhonen, A. (2002). Modeling and optimization of metal forming processes. In J. G. Lenard (Ed.), Metal Forming Science and Practice: A State-of-the Art Volume in Honour of Professor J.A.Schey's 80th Birthday (pp. 193-212). Elsevier. https://doi.org/10.1016/B978-008044024-8/50010-2