Prediction of Surface Roughness on the PCD Tool Turned Aluminum Alloys by using Regression Analysis

Al합금 PCD 선산가공에서 회귀분석에 의한 표면거칠기 예측

  • 이선우 (충남대학교 기계공학과 대학원) ;
  • 이동주 (충남대학교 기계공학과)
  • Published : 2012.06.30

Abstract

Surface roughness is widely used as an index for processing degree of accuracy. Recently, regression analysis to predict the machining results are actively used to characterize a cutting operations. In the past, diamond machining had been used for ultra precision cutting operation, but now industrial diamond tools like PCD(Polycrystaline Diamond) has been widely used in ultraprecision machining of nonferrous metals. In this study, the authors focus on the effect of PCD tool property on the surface roughness of different types of aluminum alloy after cutting process by CNC operated lathe. Based on the regression analysis approach on a surface roughness data obtained by experiment, predictive analysis of surface roughness is effective to achieve better surface quality.

Keywords

References

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