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Optimization of Cutting Parameters for Turning AI-SiC(10p) MMC Using ANOVA and Grey Relational Analysis
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  • Optimization of Cutting Parameters for Turning AI-SiC(10p) MMC Using ANOVA and Grey Relational Analysis
  • Optimization of Cutting Parameters for Turning AI-SiC(10p) MMC Using ANOVA and Grey Relational Analysis
저자명
Ramanujam. Radhakrishnan,Muthukrishnan. Nambi,Raju. Ramasamy
간행물명
International journal of precision engineering and manufacturing
권/호정보
2011년|12권 4호|pp.651-656 (6 pages)
발행정보
한국정밀공학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

This paper presents the detailed experimental investigation on turning Aluminium Silicon Carbide particulate Metal Matrix Composite (Al-SiC-MMC) using polycrystalline diamond (PCD) 1600 grade insert. Experiments were carried out on medium duty lathe. A plan of experiments, based on the techniques of Taguchi, was performed. Analysis of variance (ANOVA) is used to investigate the machining characteristics of MMC (A356/10/$SiC_p$). The objective was to establish a correlation between cutting speed, feed and depth of cut to the specific power and surface finish on the work piece. The optimum machining parameters were obtained by Grey relational analysis. Finally, confirmation test was performed to make a comparison between the experimental results and developed model and also tool wear analysis is studied.