Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The accurate contral of CNC machine axis requires relatively expensive direct measurement sensors. In this paper, artificial neural network based position error estimators are comparatively evaluated as a part of a low-cost (but high performance) manufacturing system. Such schemes are very effective when the system is rot subjected to external loads as well as widely changing operating conditions such as ambient temperature.
Słowa kluczowe
Rocznik
Tom
Strony
40--44
Opis fizyczny
Bibliogr. 9 poz., rys.
Twórcy
autor
autor
autor
autor
- Middle East Technical University, Department of Mechanical Engineering, Ankara, 06531, Turkey
Bibliografia
- [1] A. E. Ouafi, M. Guillot and A, Bedrouni, "Accuracy enhancement of multi-Axis CNC Machines throuon on-Line neurocompensation", J. of Int. Manuf., 2000. vol. 11, pp. 535-545.
- [2] S. H. Wang, Y. L. Liu, and Y. Kang, "An efficient error compensation system for CNC multi-axis machines". Int. J. of Mach. Tools. & Manuf., 2002, vol. 42, pp. 1235-1245.
- [3] S. Segonds et al., Characterization of the workpiece dilatation phenomenon during machining using the neural network method. Application to NC turning", Int. J. Adv. Manuf. Technol., 2005, vol. 27, pp. 83-39.
- [4] M. W. Cho, and T. L Seo, "Machining error compensation using radial basis function network based on CAD/CAM/CAI integration concept", Int. J. Prod. Res.,2002, vol. 40, no. 9, pp. 2159-2174.
- [5] X. Li, P, K. Venuvinod, A. Djorjevich, and Z. Liu, "Predicting machining errors in turning using hybrid learning", Int. J. Adv. Manuf. Technol. 2001, vol. 18,pp. 863-872.
- [6] X. Li, "Real-time prediction of workpiece.errors for a CNC turning centre, Part 1. Measurement and identification", Int. J. Adv. Manuf. Technol., 2001, vol. 17, pp. 654-658.
- [7] X. Li, "Real-time prediction of workpiece errors for a CNC turning centre. Part 2. Modeling and estimation of thermally induced errors", Int. J. Adv. Manuf. Technol., 2001, vol. 17, pp. 649-653.
- [8] X. Li, "Real-time prediction of workpiece errors for a CNC turning centre, Part 4. Cutting-force-induced errors", Int. J. Adv. Manuf. Techno., 2001, vol. 17, pp. 665-669.
- [9] J. Hertz, A. Krogh, R. G. Palmer, Introduction to The Theory of Neural Network, Westview Press, 1991.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ5-0012-0012