How to cite this paper
Gupta, M & Kumar, S. (2013). Multi-objective optimization of cutting parameters in turning using grey relational analysis.International Journal of Industrial Engineering Computations , 4(4), 547-558.
Refrences
Al-Refaie, A., Al-Durgham, L. & Bata, N. (2010). Optimal Parameter Design by Regression Technique and Grey Relational Analysis. The World Congress on Engineering WCE, 3.
Chakradhar, D., & Venu Gopal, A. (2011). Multi-Objective Optimization of Electrochemical machining of EN31 steel by Grey Relational Analysis. International Journal of Modeling and Optimization, 1, 2.
Davim, J. P., & Mata, F. (2004). Influence of cutting parameters on surface roughness in turning glass-fibre-reinforced plastics using statistical analysis.Industrial Lubrication and Tribology, 56(5), 270-274.
Deng, J.L. (1990). A Course on Grey System Theory. (Wuhan, PRC: HUST).
Fu, T., Zhao, J., & Liu, W. (2012). Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component analysis. Frontiers of Mechanical Engineering, 7(4), 445-452.
Fung, C.P. (2003). Manufacturing process optimization for wear property of fiber-reinforced polybutylene terephthalate composites with grey relational analysis. Wear, 254, 3-4, 298–306.
Ho, C.Y., & Lin, Z.C. (2003). Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters. International Journal of Advanced Manufacturing Technology, 21(1), 10–14.
Huang, J.T., & Liao, Y.S. (2003). Optimization of machining parameters of Wire-EDM based on Grey relational and statistical analyses. International Journal production Resources, 41(8), 1707–1720.
Jean, M.D., & Tsai, J.S., (2004). Intelligent designs of experiment for multiple characteristics optimizing a small-scale aquaculture environment. Journal Technology, 19(4), 349–357.
Kao, P.S. and Hocheng H. (2003). Optimization of electrochemical polishing of stainless steel by grey relational analysis. Journal of Materials Processing Technology, 140, 255–259.
Koenig, W., Wulf, C., Grass, P., & Willerscheid, H. (1985). Machining of fibre reinforced plastics. CIRP Annals-Manufacturing Technology, 34(2), 537-548.
Lu, H.S., Chang, C.K., Hwang, N.C., & Chung C.T. (2009). Grey relational analysis coupled with principal component analysis for optimization design of the cutting parameters in high-speed end milling. Journal of Materials Processing Technology, 209, 3808–3817.
Peng, Z., Kirk, T.B. (1999). Wear particle classification in a fuzzy grey system. Wear, 225–229, 1238–1247.
Ross P.J., (1988). Taguchi Techniques for Quality Engineering. McGraw-Hills Book Company, New York.
Rossi, F. (2001). Blending response surface methodology and principal components analysis to match a target product. Food Quality and Preference, 12, 5, 457-465.
Sadasiva Rao, T., Rajesh V., & Venu Gopal. A. (2012). Taguchi based Grey Relational Analysis to Optimize Face Milling Process with Multiple Performance Characteristics. International Conference on Trends in Industrial and Mechanical Engineering, Dubai, (ICTIME), March 24-25.
Santhanakrishnan, G., Krishnamurthy, R., & Malhotra S.K. (1989). High speed steel tool wear studies in machining of glass fibre-reinforced plastics. Wear, 132, 327-336.
Tarng Y.S., Juang, S.C., & Chang, C.H. (2002). The use of grey-based Taguchi methods to determine submerged arc welding process parameters in hard facing. Journal of Materials Processing Technology, 128, 1–6.
Tosun, N., & Pihtili, H. (2003). The effect of cutting parameters on wire crater sizes in wire EDM. International Journal of Advanced Manufacturing Technology, 21, 10-11, 857–865.
Tsao, C.C. (2009). Grey–Taguchi method to optimize the milling parameters of aluminium alloy. International Journal Advanced Manufacturing Technology, 40, 41- 48.
Wang, C, Chen, S. F., & Yuen, M. (2001). Fuzzy part family formation based on grey relational analysis. International Journal of Advanced Manufacturing Technology, 18, 2, 128–132.
Wang, F.K., & Du, T.C.T. (2000). Using Principal Component Analysis in process performance for multivariate data. Omega, 28, 2, 185-194, DOI: 10.1016/S0305-0483(99)00036-5.
Chakradhar, D., & Venu Gopal, A. (2011). Multi-Objective Optimization of Electrochemical machining of EN31 steel by Grey Relational Analysis. International Journal of Modeling and Optimization, 1, 2.
Davim, J. P., & Mata, F. (2004). Influence of cutting parameters on surface roughness in turning glass-fibre-reinforced plastics using statistical analysis.Industrial Lubrication and Tribology, 56(5), 270-274.
Deng, J.L. (1990). A Course on Grey System Theory. (Wuhan, PRC: HUST).
Fu, T., Zhao, J., & Liu, W. (2012). Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component analysis. Frontiers of Mechanical Engineering, 7(4), 445-452.
Fung, C.P. (2003). Manufacturing process optimization for wear property of fiber-reinforced polybutylene terephthalate composites with grey relational analysis. Wear, 254, 3-4, 298–306.
Ho, C.Y., & Lin, Z.C. (2003). Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters. International Journal of Advanced Manufacturing Technology, 21(1), 10–14.
Huang, J.T., & Liao, Y.S. (2003). Optimization of machining parameters of Wire-EDM based on Grey relational and statistical analyses. International Journal production Resources, 41(8), 1707–1720.
Jean, M.D., & Tsai, J.S., (2004). Intelligent designs of experiment for multiple characteristics optimizing a small-scale aquaculture environment. Journal Technology, 19(4), 349–357.
Kao, P.S. and Hocheng H. (2003). Optimization of electrochemical polishing of stainless steel by grey relational analysis. Journal of Materials Processing Technology, 140, 255–259.
Koenig, W., Wulf, C., Grass, P., & Willerscheid, H. (1985). Machining of fibre reinforced plastics. CIRP Annals-Manufacturing Technology, 34(2), 537-548.
Lu, H.S., Chang, C.K., Hwang, N.C., & Chung C.T. (2009). Grey relational analysis coupled with principal component analysis for optimization design of the cutting parameters in high-speed end milling. Journal of Materials Processing Technology, 209, 3808–3817.
Peng, Z., Kirk, T.B. (1999). Wear particle classification in a fuzzy grey system. Wear, 225–229, 1238–1247.
Ross P.J., (1988). Taguchi Techniques for Quality Engineering. McGraw-Hills Book Company, New York.
Rossi, F. (2001). Blending response surface methodology and principal components analysis to match a target product. Food Quality and Preference, 12, 5, 457-465.
Sadasiva Rao, T., Rajesh V., & Venu Gopal. A. (2012). Taguchi based Grey Relational Analysis to Optimize Face Milling Process with Multiple Performance Characteristics. International Conference on Trends in Industrial and Mechanical Engineering, Dubai, (ICTIME), March 24-25.
Santhanakrishnan, G., Krishnamurthy, R., & Malhotra S.K. (1989). High speed steel tool wear studies in machining of glass fibre-reinforced plastics. Wear, 132, 327-336.
Tarng Y.S., Juang, S.C., & Chang, C.H. (2002). The use of grey-based Taguchi methods to determine submerged arc welding process parameters in hard facing. Journal of Materials Processing Technology, 128, 1–6.
Tosun, N., & Pihtili, H. (2003). The effect of cutting parameters on wire crater sizes in wire EDM. International Journal of Advanced Manufacturing Technology, 21, 10-11, 857–865.
Tsao, C.C. (2009). Grey–Taguchi method to optimize the milling parameters of aluminium alloy. International Journal Advanced Manufacturing Technology, 40, 41- 48.
Wang, C, Chen, S. F., & Yuen, M. (2001). Fuzzy part family formation based on grey relational analysis. International Journal of Advanced Manufacturing Technology, 18, 2, 128–132.
Wang, F.K., & Du, T.C.T. (2000). Using Principal Component Analysis in process performance for multivariate data. Omega, 28, 2, 185-194, DOI: 10.1016/S0305-0483(99)00036-5.