The Use of the Taguchi-Grey Based to Optimize High Speed End Milling with Multiple Performance Characteristics

Abstract:

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This paper presents a new approach for the optimization of the high speed machining (HSM) process with multiple performance characteristics based on the orthogonal array with the grey relational analysis has been studied. Optimal machining parameters can then be determined by the grey relational grade as the performance index. In this study, the machining parameters such as cutting speed, feed rate and axial depth of cut are optimized under the multiple performance characteristics including, tool life, surface roughness, and material removal rate(MMR). As shown experimental results, machining performance in the HSM process can be improved effectively through this approach.

Info:

Periodical:

Materials Science Forum (Volumes 505-507)

Edited by:

Wunyuh Jywe, Chieh-Li Chen, Kuang-Chao Fan, R.F. Fung, S.G. Hanson,Wen-Hsiang Hsieh, Chaug-Liang Hsu, You-Min Huang, Yunn-Lin Hwang, Gerd Jäger, Y.R. Jeng, Wenlung Li, Yunn-Shiuan Liao, Chien-Chang Lin, Zong-Ching Lin, Cheng-Kuo Sung and Ching-Huan Tzeng

Pages:

835-840

DOI:

10.4028/www.scientific.net/MSF.505-507.835

Citation:

S. J. Hwang et al., "The Use of the Taguchi-Grey Based to Optimize High Speed End Milling with Multiple Performance Characteristics", Materials Science Forum, Vols. 505-507, pp. 835-840, 2006

Online since:

January 2006

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Price:

$35.00

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