Title: Concurrent parametric optimisation of single pass end milling through GRA coupled with PSO for Calmax-635 die steel

Authors: Bikash Bepari; Ankit Ati

Addresses: Department of Production Engineering, Haldia Institute of Technology, Haldia, 721657 West Bengal, India ' Amazon Development Centre, S.P. Infocity, MGR Nedunchalai North, Perungudi, Chennai, Tamil Nadu 600096, India

Abstract: The present investigation includes optimisation for enhanced surface quality during finishing of Calmax-635 die steel through GRA coupled with PSO. GRA converts multiple objectives into single objective domain. However, it yields discrete parametric combination within the problem space and fetches quasi-optimal solution. Whereas, PSO obtains optimal solution if the fitness function is available. To obtain the fitness function for Calmax-635 die steel, a full factorial DOE was conducted for parameters like, spindle speed, feed rate and depth of cut all at three levels. With the help of ANOVA, a fitness function was obtained within the problem space. Thus, when PSO was coupled with GRA, the optimised process parameters became 5,660.6 rpm, 579.4 mm/min, 0.105 mm, respectively and the roughness values obtained were 0.862 µm, 6.591 µm and 4.638 µm for R_a, R_max and R_z, respectively. Therefore, the proposed methodology reveals an avenue for optimisation in absentia of fitness function.

Keywords: Calmax-635; grey relational analysis; particle swarm optimisation; grey relation grade; surface quality.

DOI: 10.1504/IJSI.2019.097393

International Journal of Swarm Intelligence, 2019 Vol.4 No.1, pp.1 - 19

Accepted: 20 Jul 2017
Published online: 21 Jan 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article