Multi-Objective Optimization of Surface Roughness and Cutting Forces in Hard Milling Using Taguchi and Response Surface Methodology

Abstract:

Cutting forces and surface roughness are important output parameters affecting the machining performance and quality of any machined surface in hard milling. In order to obtain the best surface quality and highest productivity, the input-cutting parameters need be considered and chosen properly whenever hard milling is involved. Therefore, in this paper, an attempt is made to conduct the multi-objective optimization of the surface roughness (R_a) and the resultant cutting force (F_t) in hard milling of SKD61 steel by Taguchi method and Response Surface Methodology (RSM). Values of the input parameters for milling tests are chosen through the stability lobe diagram of a machine tool simulated by the use of Cutpro software. The Taguchi method is used for designing all of the milling experiments. The values of R_a and F_t are measured by a Surftest SJ-400 and a dynamometer, respectively, and then analysis of variance is conducted to find out the effect of machining process conditions on R_a and F_t. In order to get the low F_t and R_a, a multi-objective optimization is implemented with the use of the desirability function. The results reveal that the optimized machining conditions for R_a and F_t are a cutting speed of 100 m/min, a feed rate of 0.015 mm/tooth, and a depth of cut of 0.44 mm, with predicted R_a of 0.206 µm and F_t of 66.58 N.

• Periodical: Key Engineering Materials (Volume 773)
• Pages: 220-224
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.773.220
• Online since: July 2018
• Authors: Ngoc Chien Vu, Shyh Chour Huang*, Huu That Nguyen
• Keywords: Cutting Force, Hard Milling, RSM, Surface Roughness, Taguchi

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