Abstract
Wire breaking is a serious problem in the application of wire electrical discharge machining (WEDM). A WEDM sparking frequency monitoring and control system based on the characteristics of the voltage waveform of WEDM is developed. Two types of wire breaking phenomena are categorised according to the duration of the symptoms: a sudden rise of sparking frequency, and a sluggish rise of sparking frequency. Based on these results, a new self-learning fuzzy controller (SLFC) is proposed. The pulse off-time is regulated in real-time to keep the sparking frequency at a safe level so that wire breaking can be prevented. Experimental results show that this monitoring and control system can control the sparking frequency at an optimal high metal removal rate level without the risk of wire rupture.
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References
T. Tanimura and C. J. Heuvelman, “The properties of the servo gap sensor with wire spark-erosion machining”,Annals of the CIRP 26(1), pp. 59–63, 1977.
N. Kinoshita, M. Fukui and G. Gamo, “Control of wire-EDM preventing electrode from breaking”,Annals of the CIPR,31(1), pp. 111–114, 1982.
K. P. Rajurkar and W. M. Wang, “On-line monitor and control for wire breakage in WEDM”,Annals of CIRP 40(1), pp. 219–222, 1991.
K. P. Rajurkar and W. M. Wang, “WEDM identification and adaptive control for variable-height components”,Annals of the CIRP 43(1), pp. 199–202, 1994.
M. Sugeno (ed.),Industrial Application of Fuzzy Control North-Holland, Amsterdam, 1985.
P. T. Eubank and M. A. Barrufet, “New spark model proves EDM stock removal caused by superheating”,EDM Digest, pp. 6–11, July/August 1990.
K. Y. Inoue,Wire-Cut Electrical Discharge Machining Mi-Ta Machining Technology Assoociation, Tokyo, (in Japanese), 1978.
E. C. Jameson (ed.)Electrical Discharge Machining-Tooling Methods and Applications, Society of Manufacturing Engineers, Dearborn, Michigan, pp. 3–4, 1983.
Y. S. Liao, Y. Y. Chu and M. Y. Yan, “Study of wire breaking process and monitoring of WEDM”,Sino-German Joint Symposium on Precision and High Speed Manufacturing Technology, Taipei, Taiwan, pp. 323–338, 1993.
C. C. Lee, “Fuzzy logic in control systems: fuzzy logic controller — Part I and Part II”,IEEE Transactions on Systems, Man and Cybernetics 20(2), pp. 404–435, 1990.
D. E. Rumelhart, G. E. Hinton and R. J. Williams, “Learning in internal representations by error propagation”, inParallel Distributed Processing: Explorations in the Microstructures of Cognition MIT Press, Cambridge, vol. 1, pp. 318–362, 1986.
M. Mizumoto, “Fuzzy controls under various fuzzy reasoning method”,Information Sciences,45, pp. 129–151, 1988.
M. Braae and D. A. Rutherford, “Selection of parameters for a fuzzy logic controller”,Fuzzy Sets and Systems vol. 15, pp. 185–199, 1979.
T. Fukuda, T. Shibata, M. Mitokita and T. Misuoka, “Neuromorphic control: adaptation and learning”,IEEE Transactions on Industrial Electronics,39(6), pp. 497–503, 1992.
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Yan, M.T., Liao, Y.S. A self-learning fuzzy controller for wire rupture prevention in WEDM. Int J Adv Manuf Technol 11, 267–275 (1996). https://doi.org/10.1007/BF01351284
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DOI: https://doi.org/10.1007/BF01351284