Lehrstuhl für Fertigungstechnologie, Universität Erlangen-Nürnberg

Stochastic Simulation for the Optimisation of Tool Life and Net-Shape Production in Cold Forging

Datum: 20.12.2007



  • Prof. Dr.-Ing. Dr.-Ing. E.h. mult. Dr. h.c. mult. M. Geiger
  • Prof. Dr.-Ing. A. Erman Tekkaya, Universität Dortmund

Aim of the work is the development and application of stochastic simulation considering the scatter of process parameters in production, which is impossible in conventional simulation programs. The most essential part is the description of the process behaviour by response surface method in combination with a numerical statistical model of the parameter scatter. Specific enhancements for the calculation of tool life were implemented, describing nonlinear damage accumulation and allowing the consideration of tool- and workpiece specific scatter. Applying the developed stochastic simulation methods for tool life prediction a high accordance with the characteristic tool life scatter in production could be achieved. The optimization of tool design by local strain approach and the parametric process model reached a high increase of tool life.