다중회귀분석을 이용한 BK7 글래스 MR Polishing 공정의 재료 제거 조건 분석

Analysis of Material Removal Rate of Glass in MR Polishing Using Multiple Regression Design

  • 김동우 (인하대학교 차세대 수송기계부품산학 공통사업단) ;
  • 이정원 (인하대학교 기계공학과 대학원) ;
  • 조명우 (인하대학교 기계공학부) ;
  • 신영재 (한국가계연구원)
  • 투고 : 2010.02.24
  • 심사 : 2010.03.15
  • 발행 : 2010.04.15

초록

Recently, the polishing process using magnetorheological fluids(MR fluids) has been focused as a new ultra-precision polishing technology for micro and optical parts such as aspheric lenses, etc. This method uses MR fluid as a polishing media which contains required micro abrasives. In the MR polishing process, the surface roughness and material removal rate of a workpiece are affected by the process parameters, such as the properties of used nonmagnetic abrasives(particle material, size, aspect ratio and density, etc.), rotating wheel speed, imposed magnetic flux density and feed rate, etc. The objective of this research is to predict MRR according to the polishing conditions based on the multiple regression analysis. Three polishing parameters such as wheel speed, feed rates and current value were optimized. For experimental works, an orthogonal array L27(313) was used based on DOE(Design of Experiments), and ANOVA(Analysis of Variance) was carried out. Finally, it was possible to recognize that the sequence of the factors affecting MRR correspond to feed rate, current and wheel speed, and to determine a combination of optimal polishing conditions.

키워드

참고문헌

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