| Summary: | 碩士 === 國立高雄第一科技大學 === 機械與自動化工程研究所 === 100 === Abstract
Ruthenium (Ru) is rare material with brittle and difficult-to-cut properties. Many applications of Ru are found in hard disc media for magnetic data storage, catalyst in petrol industrial, tools coating, and fuel cell. Since industrial applications of Ru are extensively in the sputter target manufacture, to know the cutting properties of Ru metal is very important. On lathing characteristic for tool abrasion, lifetime, cost, and target surface quality, the tool competence and machining parameter were investigated.
Tool material such as coating with Cubic Boron Nitride (CBN), Chemical Vapor Deposition (CVD), and ceramic are proposed for surface quality control of target. Tool abrasion and smooth surface are estimated characteristic of machining property. Furthermore, the Taguchi analysis method commenced to obtain best cutting condition. The optimum cutting parameters are achieved through the proposed competition technique. Comparison with surface roughness and tool abrasion, coating with CBN obtained the best machining property. Taguchi method showed the best parameter for cutting speed, depth and feeding rate with tools abrasion that are found the cutting speed of 39 rpm, cutting depth of 0.35 mm, and feeding rate of 0.18 mm/rev. For surface quality control of best cutting parameter are found the cutting speed of 39 rpm, cutting depth of 0.15 mm, and feeding rate of 0.14 mm/rev. The optimum cutting parameters obtained by analysis of matrix by gray multi-attribute decision and set up the weight of 70% on the wearing condition of cutting tools and 30% on the surface quality. From above analysis method shown that the cutting speed of 39rpm, cutting depth of 0.15mm, and feeding rate of 0.14mm/rev have the best abrasion and surface quality.
The study provides important reference not only cutting tool of selection but also suitable cutting condition on brittle materials. From the research shown that can increase the manufacturability and cost down and can be applied to the practical manufacture in industry.
Keywords: Tool wear, surface roughness, Taguchi method, ruthenium metal, gray multi-attribute decision
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