Optimization Strategies of Grinding Parameters for Metal Matrix Composites by Design of Experiments and Genetic Algorithm(Grinding technology)

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概要

• 論文の詳細を見る

• The mechanical properties of the metal matrix composites (MMCs) are quite prior to conventional metal materials and they have possibility to be applicable to the wide scope of industrials. But there is insufficient to get fundamental information for machining these materials because of entering recent appearance. The study on machining these materials is essential. This study presented the grinding of the aluminum-based MMCs reinforced with SiC particles. The effect of the grinding parameters on the surface roughness and the grinding force was evaluated by design of experiments (DOE), and the second-order response surface models were developed based on the experimental data. Also the developed mathematical models composed of grinding parameters were optimized the genetic algorithm.

• 社団法人日本機械学会の論文
• 2005-10-18

著者

• Koo Yang

  School Of Mechanical Engineering Pukyong National University

• Kwak Jae-Seob

  School of Mechanical Engineering, Pukyong National University

• Kim In-Kwan

  Regional Research Center, Pukyong National University

• Ha Man-Kyung

  School of Mechanical Engineering, Pukyong National University

• Kim Young-Soo

  School of Mechanical Engineering, Pukyong National University

• Kwak Jae-seob

  School Of Mechanical Engineering Pukyong National University

• Kim In-kwan

  Regional Research Center Pukyong National University

• Ha Man-kyung

  School Of Mechanical Engineering Pukyong National University

• Kim Young-soo

  School Of Electronics And Information Kyung Hee University

• Kim Young-soo

  School Of Mechanical Engineering Pukyong National University

関連論文

• Optimization Strategies of Grinding Parameters for Metal Matrix Composites by Design of Experiments and Genetic Algorithm(Grinding technology)
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