Optimization of Process Parameters in Vertical CNC Mill Machines Using Taguchi's Design of Experiments

ARISER (Arab Research Institute in Sciences & Engineering), Vol. 4 No. 2, 2008

Posted: 29 Apr 2016

See all articles by D. G. Mahto

D. G. Mahto

Green Hills Engineering College

Anjani Kumar

National Institute of Technology (NIT), Jamshedpur - Department of Production & Industrial Engineering

Date Written: 2008

Abstract

With the more precise demands of modern engineering products, the control of surface texture together with dimensional accuracy has become more important. This paper outlines the Taguchi optimization methodology, which is applied to optimize cutting parameters in end milling operation. The study was conducted in machining operation in hardened steel DIN GX40CRMOV5-1. The processing of the job was done by TiN coated carbide inserted end-mill tool under semi-finishing and finishing conditions of high-speed cutting. The milling parameters evaluated were cutting speed, feed rate and depth of cut. The experiments were conducted by using L-27 (313) orthogonal array as suggested by Taguchi. Signal-toNoise (S/N) ratio and Pareto Analysis of Variance (ANOVA) are employed to analyze the effect of milling parameters on surface roughness. Main effects of process parameters on the quality characteristics have been analyzed. The results show that the optimum parameters of machining by CNC Milling Machine for specified hardened steel material DIN GX40CRMOV5-1 is obtained at a cutting speed of 355m/min, feed rate 0.1mm per tooth and depth of cut 0.5mm.

Keywords: Surface Roughness, Design of Experiment, ANOVA and Signal-to-Noise Ratio

Suggested Citation

Mahto, Dalgobind and Kumar, Anjani, Optimization of Process Parameters in Vertical CNC Mill Machines Using Taguchi's Design of Experiments (2008). ARISER (Arab Research Institute in Sciences & Engineering), Vol. 4 No. 2, 2008, Available at SSRN: https://ssrn.com/abstract=2770929

Dalgobind Mahto (Contact Author)

Green Hills Engineering College ( email )

SP-43, RIICO Industrial Area Kukas
Jaipur, Rajasthan 302028
India
8058799995 (Phone)
8058799995 (Fax)

Anjani Kumar

National Institute of Technology (NIT), Jamshedpur - Department of Production & Industrial Engineering ( email )

Jamshedpur
India

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
305
PlumX Metrics