Optimizing SUS 304 wire drawing process by grey relational analysis utilizing Taguchi method
Optimizing SUS 304 wire drawing process by grey relational analysis utilizing Taguchi method作者机构:Department of Industrial Engineering University of Jordan Amman Jordan Department of Industrial Engineering and Systems Management Feng Chia University Taichung China Taipei Department of Mechanical and Computer-Aided Engineering Feng Chia University Taichung China Taipei
出 版 物:《Journal of University of Science and Technology Beijing》 (北京科技大学学报(英文版))
年 卷 期:2008年第15卷第6期
页 面:714-722页
核心收录:
学科分类:080503[工学-材料加工工程] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
主 题:stainless steel grey relational analysis analysis of variance (ANOVA) optimization control charts
摘 要:In the stainless steel 304 (SUS 304) wire drawing process, optimizing the die life and wire tensile strength, which are the larger-the-better quality characteristics (QCH) types, is of main interest. Three control factors, involving reduction ratio, lubricant temperature, and drawing speed, were investigated utilizing L9(34) orthogonal array (OA). The grey relational analysis was conducted for the normalized signal-to-noise (S/N) ratios. The ordinal value of the grey grade was then used to decide optimal factor levels. The anticipated improvements in die life and wire tensile strength were estimated 25.31 h and 22.50 kg/mm2, respectively. To decide the significant factor which had effect on each QCH and predict the average value of each QCH, analysis of variance (ANOVA) was performed for S/N ratio and QCH. Confirmation experiments were then conducted, where a good overlap was noticed between the predicted and confirnation intervals for each QCH. The Hotelling T2 and the sample generalized variance control charts were finally utilized in controlling and monitoring future production. In conclusion, the grey relational analysis utilizing Taguchi method is an effective approach for optimizing the die life and wire tensile strength for SUS wire drawing process. 2008 University of Science and Technology Beijing. All rights reserved.