Prediction of metal wire behavior using genetic programming

Abstract

Dimensional stability of forming processes is becoming very important in the modern manufacture. It is particularly in mass manufacture that technological systems have to be most reliable and accurate. Growing market demands are pushing the manufacturing engineers towards process optimization in order to achieve high machinery efficiency and reduce manufacturing costs. Predicting the process behavior is an important precondition for having it improved. The paper presents the use of genetic programming for forecasting the wire geometry after forming. The obtained results are the basis for later optimization of forming processes.