Statistical process control of wear phenomenon during metal extrusion process

Abstract

The aim of this paper is the statistical process control (SPC) analysis of the tool wear evolution during metal extrusion process for better understanding the principal causes which generate the variability of such a complex phenomenon. The wear prediction is carried out using finite element simulation including Archard wear model. The tool wear modelling is presented briefly as well as the response surface methodology (RSM). The study is based on the application of the central composites designs and allows for the analysis of the response (wear) sensitivity of the tool. The statistical investigation of the process makes it possible to study the influence of each process parameters on the response sensitivity.