Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30067
Multi-Objective Optimization in End Milling of Al-6061 Using Taguchi Based G-PCA

Authors: M. K. Pradhan, Mayank Meena, Shubham Sen, Arvind Singh


In this study, a multi objective optimization for end milling of Al 6061 alloy has been presented to provide better surface quality and higher Material Removal Rate (MRR). The input parameters considered for the analysis are spindle speed, depth of cut and feed. The experiments were planned as per Taguchis design of experiment, with L27 orthogonal array. The Grey Relational Analysis (GRA) has been used for transforming multiple quality responses into a single response and the weights of the each performance characteristics are determined by employing the Principal Component Analysis (PCA), so that their relative importance can be properly and objectively described. The results reveal that Taguchi based G-PCA can effectively acquire the optimal combination of cutting parameters.

Keywords: Material Removal Rate, Surface Roughness, Taguchi Method, Grey Relational Analysis, Principal Component Analysis.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF


[1] B. Baharudin, M. Ibrahim, N. Ismail, Z. Leman, M. Ariffin, and D. Majid, “Experimental investigation of hss face milling to al6061 using taguchi method,” Procedia Engineering, vol. 50, pp. 933–941, 2012.
[2] J. Pang, M. Ansari, O. S. Zaroog, M. H. Ali, and S. Sapuan, “Taguchi design optimization of machining parameters on the cnc end milling process of halloysite nanotube with aluminium reinforced epoxy matrix hybrid composite,” HBRC Journal, vol. 10, no. 2, pp. 138–144, 2014.
[3] C.-J. Tzeng, Y.-H. Lin, Y.-K. Yang, and M.-C. Jeng, “Optimization of turning operations with multiple performance characteristics using the taguchi method and grey relational analysis,” Journal of materials processing technology, vol. 209, no. 6, pp. 2753–2759, 2009.
[4] C. Gologlu and N. Sakarya, “The effects of cutter path strategies on surface roughness of pocket milling of 1.2738 steel based on taguchi method,” Journal of materials processing technology, vol. 206, no. 1, pp. 7–15, 2008.
[5] J. Kopac and P. Krajnik, “Robust design of flank milling parameters based on grey-taguchi method,” Journal of Materials Processing Technology, vol. 191, no. 1, pp. 400–403, 2007.
[6] M. Pradhan, “Estimating the effect of process parameters on mrr, twr and radial overcut of edmed aisi d2 tool steel by rsm and gra coupled with pca,” The International Journal of Advanced Manufacturing Technology, vol. 68, no. 1-4, pp. 591–605, 2013.
[7] M. K. Pradhan, “Modeling and optimization of electrical discharge machining variables using RSM coupled with GRA and PCA,” in Proc. of National Conference On Emerging Trend & Its Application In Engineering. IGIT, Sarang, Odisha., Dec 2011.
[8] J.-L. Deng, “Introduction to grey system theory,” The Journal of grey system, vol. 1, no. 1, pp. 1–24, 1989.