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Statistical investigation of die wear in metal extrusion processes

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Abstract

The aim of this paper is the statistical process control analysis of the tool wear evolution during metal extrusion process for better understanding the principal causes that generate the variability of such a complex phenomenon. The wear prediction is carried out using finite element simulation including the Archard wear model. The tool wear modeling is presented briefly as well as the response surface methodology. 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 parameter on the response sensitivity.

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References

  1. Kragelsky IV, Dobychin MN, Mombalov VS (1982) Friction and wear calculation methods. Pergamon, New York

  2. Hambli R, Badie-Levet D (2000) Damage and fracture simulation during the extrusion process. Comput Meth Appl Mech Eng 186:109–120

    Article  MATH  Google Scholar 

  3. Lee GA, Im YT (1999) Finite-Element Investigation of the Wear and Elastic Deformation of Dies in Metal Forming. J Mater Process Technol 89:123–127

    Article  Google Scholar 

  4. Hambli R (2001) Blanking tool wear modeling using the finite element method. Int J Mach Tools Manuf 41(12):1815–1829, September 2001

    Article  Google Scholar 

  5. Montgomery DC (2001) Design and analysis of experiments, 5th edn. Wiley, New York, pp 427–510

  6. Dean A, Voss D (2000) Design and analysis of experiments. Springer, Berlin Heidelberg New York

  7. Benoist D (1994) Plans d’expériences : construction et analyse. Technique & Documentations Lavoisier, Paris, pp 140–147

  8. Archard JF (1953) Contact and rubbing of flat surfaces. J Appl Phys 24:981–988

    Article  Google Scholar 

  9. Carter WT (1994) A model for friction in metal forming. J Eng Mater Technol 113:8–13

    Google Scholar 

  10. Hortig D, Schmoeckel D (1999) Analysis of local loads on the draw die profile with regard to wear using the FEM and experimental investigations. Proceedings of the 7th International Conference on Sheet Metal, Erlangen, Germany, 25–28 September 1999, pp 193–202

  11. Jensen MR, Damborg FF, Nielsen KB, Danckert J (1998) Applying the finite element method for determination of tool wear in conventional deep-drawing. J Mater Process Technol 83:98–105

    Article  Google Scholar 

  12. Kurt L (1985) Handbook of metal forming. McGraw-Hill, Boston

  13. Jensen MR, Damborg FF, Nielsen KB, Danckert J (1998) Applying the finite element method for determination of tool wear in conventional deep-drawing. J Mater Process Technol 83:98–105

    Article  Google Scholar 

  14. Lee GA, Im YT (1999) Finite element investigation of the wear and elastic deformation of dies in metal forming. J Mater Process Technol 89–90:123–127

    Google Scholar 

  15. Hambli R, Potiron A (2000) Finite element modeling of sheet-metal blanking operation with experimental verification. J Mater Process Technol 102:257–265

    Article  Google Scholar 

  16. Paiter B, Shivpuri R, Altan T (1996) Prediction of die wear during hot-extrusion of engine valves. J Mater Process Technol 59:132–143

    Article  Google Scholar 

  17. ABAQUS (2001) ABAQUS/Standard user’s manual, version 6.2. ABAQUS, Providence, RI

  18. Criesfeld MA (1991) Nonlinear finite element analysis of solids and structure, vol 1. Wiley, New York

  19. Marques JMMC (1984) Stress computation in elastoplasticity. Eng Comput 1:43–51

    Google Scholar 

  20. Goupy J (1999) Plans d’expériences pour surfaces de réponse. DUNOD, Paris, pp 253–294

  21. Cornell JA (1990) How to apply response surface methodology. ASQC, Milwaukee, WI

  22. Box GEP, Wilson KB (1951) On the experimental attainment of optimum conditions. J Royal Stat Soc B 13:1–45

    MATH  MathSciNet  Google Scholar 

  23. Kashiwamura T, Shiratori M, Yu Q (1997) Statistical optimization method. In: Hernandez S, Brebbia CA (eds) Computer aided optimum design of structure V. Computational Mechanics, Billerica, MA, pp 213–227

  24. Lepadatu D, Hambli R, Kobi A, Barreau A (2002) Application des plans dexpériences numériques pour la réduction de l’usure des outils d’extrusion”. Conférence Internationale d’Utilisateurs Francophones d’ABAQUS, Paris, France, 2002

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Lepadatu, D., Hambli, R., Kobi, A. et al. Statistical investigation of die wear in metal extrusion processes. Int J Adv Manuf Technol 28, 272–278 (2006). https://doi.org/10.1007/s00170-004-2362-6

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  • DOI: https://doi.org/10.1007/s00170-004-2362-6

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