Title: Parametric optimisation for surface roughness of AISI 4340 steel during turning under near dry machining condition
Authors: Milon D. Selvam; P. Senthil; N.M. Sivaram
Addresses: Department of Mechanical Engineering, Karpagam University, 641021 Coimbatore, India ' Department of Mechanical Engineering, Karpagam University, 641021 Coimbatore, India ' Department of Mechanical Engineering, Karpagam University, 641021 Coimbatore, India
Abstract: The objective of this investigation is to find the best feasible machining parameters in order to obtain better surface quality. The turning operation is carried out with TiN coated carbide insert on AISI 4340 steel under near dry machining condition. The machining parameters, namely cutting velocity, feed rate and depth of cut are chosen for the conduct of experiments based on L9(33) orthogonal array. The surface roughness of the machined work piece is measured by using surface roughness tester. A mathematical model representing average surface roughness is developed using nonlinear regression analysis with the help of MINITAB software. The optimum machining conditions for minimum surface roughness are determined through Taguchi's technique and genetic algorithm and verified with confirmation experiments.
Keywords: AISI 4340 steel; turning operation; near dry condition; surface roughness; Taguchi technique; genetic algorithm.
International Journal of Machining and Machinability of Materials, 2017 Vol.19 No.6, pp.554 - 569
Available online: 22 Dec 2017Full-text access for editors Access for subscribers Purchase this article Comment on this article