Study on Optimization of Machining Parameters in Electrochemical Machining

Abstract:

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In electrochemical machining (ECM) machining accuracy of workpieces is greatly influenced by many machining parameters. In this paper the BP neural network model is employed to optimize machining parameters in ECM. Taking a three dimensional complicated surface as the research object the experimental results have shown that the optimization process can be easily operated and the result is of high precision.

Info:

Periodical:

Advanced Materials Research (Volumes 476-478)

Edited by:

Wenzhe Chen, Qiang Li, Yonglu Chen, Pinqiang Dai and Zhengyi Jiang

Pages:

375-378

Citation:

L. Wang and J. N. Gai, "Study on Optimization of Machining Parameters in Electrochemical Machining", Advanced Materials Research, Vols. 476-478, pp. 375-378, 2012

Online since:

February 2012

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Price:

$38.00

[1] Z.Y. Li, D. Zhu and L. Wang: Acta Aeronautica et Astronautica Sinica Vol. 24(6)(2003), p.563.

[2] D. Zhu and K.P. Rajurkar: Proceedings of American Society of Mechanical Engineerings (ASME), Manufacturing Engineering Division Vol. 10(1999), p.589.

[3] P. Domanowski and J. Kozak: Journal of Materials Processing Technology, Vol. 107(1-3)(2000), p.300.

[4] Y.C. Lin and J. Zhang: Computational Materials Science, Vol. 43 (2008), p.752.

[5] Y.D. Ko, P. Moon and C.E. Kim: Expert Systems with Applications, Vol. 36 (2009), p.4061.