Optimizing the Machining Multiple Quality of Deep Hole Drilling by Integrating the Taguchi Method with Gray Relation Analysis

• Main Authors: Cheng, Tsai-Lin, 鄭才琳
• Other Authors: Chin, Jih-Hua
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/04882056746472624562

碩士 === 國立交通大學 === 機械工程系所 === 97 === Among drilling machining, the deep-hole drilling can drill deep holes with depth-diameter-ratio above 100 with excellent machining quality. In fact, the work-piece has many kinds of working quality characteristics and more than one quality characteristic must be considered simultaneously to improve the work-piece quality. Therefore, the main purpose of this research is to discuss the machining multi-quality of the BTA deep-hole drilling and propose an approach to optimize multi-quality characteristics by using the Taguchi method combined with the grey relational analysis. Roundness error, surface roughness are considered as quality characteristic. The Taguchi’s orthogonal array is used to plan experiments and then separately calculating the SN ratio according to the quality characteristic. However, the Taguchi method can only manage analysis of the optimization for a single quality characteristic. Thus, Grey Relational Analysis is used to convert the SN ratio into Grey Relational Grade as a single performance index. Finally, optimal machining parameters can be determined by Grey Relational Grade response table and Analysis of Variance. Experimental results have shown that machining multi-quality in deep-hole drilling can be improved effectively through this approach.