Journal of the Korean Society of Manufacturing Process Engineers (한국기계가공학회지)

The Korean Society of Manufacturing Process Engineers (한국기계가공학회)
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A Study on the Quantitative Analysis of Cutting Parameters and Prediction Model for Surface Roughness in Milling

밀링가공에서 표면거칠기에 대한 절삭인자의 정량적 분석과 예측모델에 관한 연구

  • Jang, Sung-Min (Dept. of Mechanical Engineering, Chosun College of Science & Technology) ;
  • Kang, Shin-Gil (Dept. of Mechanical Engineering, Dongyang Mirae University)
  • 장성민 (조선이공대학교 기계과) ;
  • 강신길 (동양미래대학교 기계공학부 기계과)
  • Received : 2017.05.04
  • Accepted : 2017.06.01
  • Published : 2017.06.30
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Abstract

In this study, the influence of various factors on surface roughness was investigated using the Taguchi experimental method through high-speed machining processing. Feed rate, pitch, tool diameter, and depth of cut are widely applied to high-speed machining conditions for mold production. Each of these factors was implemented and classified into three levels; then, after high speed machining, surface roughness was measured, the S/N ratio was analyzed, and the influence on the surface roughness of control factors was analyzed quantitatively by ANOVA. Using this information, a mathematical model for predicting surface roughness was derived from multiple regression analysis. This mathematical model enables the surface roughness value after high-speed machining to be predicted at the production stage, before machining, for a wide range of machining conditions.

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References

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