Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis |
| |
| Authors: | Chorng-Jyh Tzeng Yu-Hsin Lin Yung-Kuang Yang Ming-Chang Jeng |
| |
| Affiliation: | 1. Department of Mechanical Engineering, Minghsin University of Science and Technology, 1 Hsin Hsing Road, Hsin Feng, 304 Hsinchu, Taiwan;2. Department of Industrial Engineering and Management, Minghsin University of Science and Technology, 1 Hsin Hsing Road, Hsin Feng, 304 Hsinchu, Taiwan;3. Department of Mechanical Engineering, National Central University, Chung-Li 32054, Taiwan;1. Department of Mechanical Engineering, Kakatiya Institute of Technology and Science, Warangal, AP, India;2. Department of Mechanical Engineering, Sree Chaitanya College of Engineering, Karimnagar, AP, India;1. Department of Mechanical Engineering, GNDEC, Ludhiana, Punjab, India;2. Research Scholar, I.K.G. PTU, Kapurthala, Punjab, India;1. Department of Mechanical Engineering, Sinop University, 57030 Sinop, Turkey;2. Manufacturing Department, Technology Faculty, Gazi University, 06500 Ankara, Turkey;1. Department of Mechanical Engineering, Madanapalle Institute of Technology & Science, Madanapalle, India;2. Mechanical Engineering, Indian Institute of Technology Palakkad, Kerala 678557, India;1. Department of Mechanical Engineering, Engineering Faculty, Bursa Uludag University, Turkey;2. Department of Energy Systems Engineering, Faculty of Engineering and Natural Sciences, Bursa Technical University, Turkey |
| |
| Abstract: | This study investigated the optimization of CNC turning operation parameters for SKD11 (JIS) using the Grey relational analysis method. Nine experimental runs based on an orthogonal array of Taguchi method were performed. The surface properties of roughness average and roughness maximum as well as the roundness were selected as the quality targets. An optimal parameter combination of the turning operation was obtained via Grey relational analysis. By analyzing the Grey relational grade matrix, the degree of influence for each controllable process factor onto individual quality targets can be found. The depth of cut was identified to be the most influence on the roughness average and the cutting speed is the most influential factor to the roughness maximum and the roundness. Additionally, the analysis of variance (ANOVA) is also applied to identify the most significant factor; the depth of cut is the most significant controlled factors for the turning operations according to the weighted sum grade of the roughness average, roughness maximum and roundness. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
