Frontiers of Mechanical Engineering >
Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component analysis
Received date: 10 Mar 2012
Accepted date: 25 Jun 2012
Published date: 05 Dec 2012
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This paper investigates optimization problem of the cutting parameters in high-speed milling on NAK80 mold steel. An experiment based on the technology of Taguchi is performed. The objective is to establish a correlation among spindle speed, feed per tooth and depth of cut to the three directions of cutting force in the milling process. In this study, the optimum cutting parameters are obtained by the grey relational analysis. Moreover, the principal component analysis is applied to evaluate the weights so that their relative significance can be described properly and objectively. The results of experiments show that grey relational analysis coupled with principal component analysis can effectively acquire the optimal combination of cutting parameters and the proposed approach can be a useful tool to reduce the cutting force.
Tao FU , Jibin ZHAO , Weijun LIU . Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component analysis[J]. Frontiers of Mechanical Engineering, 2012 , 7(4) : 445 -452 . DOI: 10.1007/s11465-012-0338-z
| 1 |
Deng J L. Introduction to grey system theory. Journal of Grey System, 1989, 1(1): 1-24
|
| 2 |
Hotelling H. Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 1933, 24(6): 417-441
|
| 3 |
Taylor F W. On the art of cutting metals. Transactions of ASME, 1907, 28: 31-350
|
| 4 |
Benardos P G, Vosniakos G C. Prediction of surface roughness in CNC face milling using neural networks and Taguchi’s design of experiments. Robotics and Computer-integrated Manufacturing, 2002, 18(5,6): 343-354
|
| 5 |
Cus F, Balic J. Optimization of cutting process by GA approach. Robotics and Computer-Integrated Manufacturing, 2003, 19(1,2): 113-121
|
| 6 |
Pan L K, Wang C C, Wei S L, Sher H F. Optimizing multiple quality characteristics via Taguchi method-based Grey analysis. Journal of Materials Processing Technology, 2007, 182(1-3): 107-116
|
| 7 |
Wang M Y, Lan T S. Parametric optimization on multi-objective precision turning using grey relational analysis. Information Technology Journal, 2008, 7(7): 1072-1076
|
| 8 |
Tosun N, Ozler L. Optimisation for hot turning operations with multiple performance characteristics. International Journal of Advanced Manufacturing Technology, 2004, 23(11,12): 777-782
|
| 9 |
Wang C, Chen S F, Yuen M. Fuzzy part family formation based on grey relational analysis. International Journal of Advanced Manufacturing Technology, 2001, 18(2): 128-132
|
| 10 |
Fung C P. Manufacturing process optimization for wear property of fiber-reinforced polybutylene terephthalate composites with grey relational analysis. Wear, 2003, 254(3,4): 298-306
|
| 11 |
Lo S P. The application of an ANFIS and grey system method in turning tool-failure detection. International Journal of Advanced Manufacturing Technology, 2002, 19(8): 564-572
|
| 12 |
Ho C Y, Lin Z C. Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters. International Journal of Advanced Manufacturing Technology, 2003, 21(1): 10-14
|
| 13 |
Tosun N, Pihtili H. The effect of cutting parameters on wire crater sizes in wire EDM. International Journal of Advanced Manufacturing Technology, 2003, 21(10,11): 857-865
|
| 14 |
Fung C P, Kang P C. Multi-response optimization in friction properties of PBT composites using Taguchi method and principle component analysis. Journal of Materials Processing Technology, 2005, 170(3): 602-610
|
| 15 |
Liao H C. Multi-response optimization using weighted principal component. International Journal of Advanced Manufacturing Technology, 2006, 27(7,8): 720-725
|
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