Statistical process control of wear phenomenon during metal extrusion process

• Published in: Annual Symposium Reliability and Maintainability, 2004 - RAMS pp. 314 - 319
• Main Authors: Lepadatu, D., Kobi, A., Hambli, R., Barreau, A.
• Format: Conference Proceeding
• Language: English
• Published: Piscataway NJ IEEE 2004
• Subjects: Abrasives; Applied sciences; Costs; Exact sciences and technology; Finite element methods; Friction; Inorganic materials; Manufacturing processes; Operational research and scientific management; Operational research. Management science; Predictive models; Process control; Process design; Reliability theory. Replacement problems; Response surface methodology; Statistical process control; Statistical analysis; Probabilistic approach; Dependability; Variability; Numerical method; Maintainability; Modeling; Operating conditions; Finite element method; Tool wear; Extrusion; Response surface; Reliability; Tribology
• ISBN: 0780382153; 9780780382152
• DOI: 10.1109/RAMS.2004.1285467

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.