Lehrstuhl für Fertigungstechnologie, Universität Erlangen-Nürnberg

Simulation-based lifetime prediction for cold forging tools



Datum: 07.09.2000


Author


Reporter

  • Prof. Dr.-Ing. M. Geiger
  • Prof. Dr.-Ing. W. Maßberg, Universität Bochum

The partition of automobile components produced by cold forging shows a significant potential of economic growth. Especially so-called Near-Net-Shape- and Net-Shape-Parts, which feature geometrical properties close to the rated values have a special importance. From an industrial view the necessity exists to predict not only the tool lifetime but also the lifetime scatter during the product development period. In this context the numerical process simulation enables the estimation of tool load and forms the basis for every lifetime calculation. The methods which have been applied until now for lifetime prediction of cold forging tools can be denoted as deterministic methods. In general, they lead only to an insufficient prediction accuracy. Furthermore, the stochastic characteristics of the primary parameters of influence cannot be considered in an efficient manner. Therefore, it was the primary goal of this thesis to develop a sufficient method for the lifetime calculation of cold forging tools. Beside the principle demand, the improvement of the prediction accuracy, a so-called stochastic-deterministic method enables it to the trace back the stochastic lifetime characteristic of the tool system to the scatters of the primary parameters of influence.