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Modelling and optimization of grinding processes

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Abstract

The paper describes different methods for modelling and optimization of grinding processes. First the process and product quality characterizing quantities have to be measured. Afterwards different model types, e.g. physical–empirical basic grinding models as well as empirical process models based on neural networks, fuzzy set theory and standard multiple regression methods, are discussed for an off-line process conceptualization and optimization using a genetic algorithm. The assessment of grinding process results, which build the individuals in the genetic algorithm's population, is carried out using a target tree method. The methods presented are integrated into an existing grinding information system, which is part of a three control loop system for quality assurance.

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References

  • Brinksmeier, E. (1991) Prozessund Werkstückqualität in der Feinbearbeitung. Habilitationsschrift, Universität Hannover. Forsch-ittberichte Reche 2, No. 234, Verein Deutscher Ingenieuse (VDI-) Verlag GmbH, Düsseldorf.

    Google Scholar 

  • Brinksmeier, E., Schneider, E., Theiner, W. A. and Tönshoff, H. K. (1984) Nondestructive testing for evaluating surface integrity. Annals of the CIRP, 33 489–509.

    Google Scholar 

  • Goldberg, D. (1989) Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA.

    Google Scholar 

  • Hush, D. R. and Horne, B. G. (1993) Progress in supervised neural networks. IEEE Signal Processing Magazine, January, 8–39.

  • Karpuschewski, B. (1995) Mikromagnetische Randzonenanalyse geschliffener einsatzgehärteter Bauteile, PhD Dissertation, Universität Hannover.

  • Karpuschewski, B., Czenkusch, C. and Regent, C. (1996) Prozeßintegrierte Qualitätsprüfung beim Schleifen, in 58 Jahrbuch Schleifen, Honen, Läppen und Polieren, Vulkan Verlag, pp. 437–446.

  • Pao, Y.-H. (1989) Adaptive Pattern Recognition and Neural Networks, Addison-Wesley, New York.

    Google Scholar 

  • Paul, T. (1994) Konzept für ein schleiftechnologisches Informationssystem, PhD Dissertation, Universität Hannover

  • Spur, G. (1990) Feinbearbeitung - Schlüsseltechnologie zur Herstellung hochwertiger Produkte, in Proceedings of the Sixth Internationales Braunschweiger Feinbearbeitungskolloquium (FBK), 19-21 September, Braunschweig, pp. 1.01–1.23.

  • Tönshoff, H. K. (1995) Spanen Grundlagen, Springer-Verlag, Berlin.

    Google Scholar 

  • Tönshoff, H. K. and Czenkusch, C. (1996) Informationssystem zur prozeßintegrierten Qualitätssicherung beim Schleifen, in Proceedings of the Seventh International DAAAM Symposium, 17-19 October, Vienna, pp. 443–444.

  • Tönshoff, H. K., Czenkusch, C. and Karpuschewski, B. (1996) Process integrated quality assurance in grinding. Production Engineering, Annals of the German Academic Society of Production Engineering, Vol. III/2.

  • Tönshoff, H. K., Paul, T. and Czenkusch, C. (1994) Informationssystem zur Gestaltung und Optimierung von Schleifprozessen. Verein Deutsche Ingenieure-Zeitschrift, 136, 82–86.

    Google Scholar 

  • Tönshoff, H. K., Peters, J., Inasaki, I. and Paul, T. (1992) Modelling and simulation of grinding processes. Annals of the CIRP, 41, 677–688.

    Google Scholar 

  • Zadeh, L. A. (1965) Fuzzy sets. Information and Control, 8, 338–353.

    Google Scholar 

  • Zimmermann, H. J. (1988) Fuzzy sets theory — and inference mechanism, in Mathematical Models for Decision Support, Mitra, G. (ed.), Springer Verlag, Berlin, pp. 727–741.

    Google Scholar 

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Brinksmeier, E., TÖnshoff, H.K., Czenkusch, C. et al. Modelling and optimization of grinding processes. Journal of Intelligent Manufacturing 9, 303–314 (1998). https://doi.org/10.1023/A:1008908724050

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  • DOI: https://doi.org/10.1023/A:1008908724050

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