Skip to main content
Log in

Model of an integrated intelligent design and manufacturing system

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

The expert system STATEXS is presented for dimensioning, optimization and manufacture of gears and gearings. The optimum dimensions of the gearing were determined using genetic algorithms, well suited to such problems especially because of their robustness and their ability to detect global extremes. After completion of the calculations and optimization of the gears or gear pairs, there follows one of the most difficult operations, the manufacture of the product with theoretically determined and optimized properties. To this end we have also started to use the genetic algorithm approach for the manufacture of various products with demanding shapes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Abersek, B., Flasker, J. and Balic, J. (1996) Expert system for optimizing and manufacturing gearing for special purposes, in Critical Technology, Lee, J. K., Liebowitz, J. and Chae, Y. M. (eds.), Cognizant Communication Corporation, New York, pp. 162–169.

    Google Scholar 

  • Balic, J. (1983) Raziskava optimalne avtomatske porazdelitve rezov pri NC struzenju, Dissertation, Visoka Tehniska Sola.

  • Balic, J., Zivec, Z. and Cus, F. (1995) Model of a universal manufacturing interface in CIM for small-and medium-sized companies. Journal of Materials Processing Technology, 52, 102–114.

    Google Scholar 

  • Cus, F. and Balic, J. (1994) Complex optimization of cutting conditions, in Frontiers in Tribology, Stachowiak, G. W. (ed), University of Western Australia, Perth, pp. 481–487.

    Google Scholar 

  • Drstvensek, I. and Pahole, I. (1996) A genetic algorithm approach to the optimization of cutting parameters, in Proceedings of the 7th International DAAAM Symposium, DAAAM-International, Vienna.

    Google Scholar 

  • Gaspersic, J. (1995) Designing multi-stage gear assemblies using genetic algorithm, M.Sc. Dissertation, Faculty of Mechanical Engineering,University of Maribor, Slovenia.

    Google Scholar 

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

    Google Scholar 

  • Jacobs, H.-J. (1977) Spanungsoptimierung, VEB Verlag Technik, Berlin.

    Google Scholar 

  • Katalinic, B. (1990) Industrieroboter und Flexible Fertigungssysteme für Drehteile, VDI-Verlag, Düsseldorf.

    Google Scholar 

  • Kusiak, A. (1990) Intelligent Manufacturing Systems, Prentice Hall, Englewood Cliffs, NJ.

    Google Scholar 

  • Meissner, K. (1994) Anwendung Genetischer Algorithmen zur Optimierung von Fertigungsprozessen, in Proceedings of the 5th International DAAAM Symposium, Katalinic, B., Osanna, H. P., Cus, F. and Balic, F. (eds.), University of Maribor, Slovenia, pp. 271–272.

    Google Scholar 

  • Muren, H. (1976) Odrezavanje, Tehniska Zalozba Slovenije, Ljubljana, Slovenia.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

BALIC , J., ABERSEK , B. Model of an integrated intelligent design and manufacturing system. Journal of Intelligent Manufacturing 8, 263–270 (1997). https://doi.org/10.1023/A:1018533510626

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1018533510626

Navigation