Design & Manufacturing

Korean Society of Die & Mold Engineering (한국금형공학회)
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Development of tool-life prediction program to determine the optimal machining conditions in mold machining

금형 가공 시 최적 가공조건을 결정하기 위한 공구수명 예측 프로그램 개발

  • Soon-Ok Park (Dept. of Engineering Automotive, DONG SEOUL University) ;
  • Min-Hak Kim (Dept. of Engineering Automotive, DONG SEOUL University) ;
  • Sun-Kyung Lee (Dept. of Engineering Automotive, DONG SEOUL University) ;
  • Sung-Taek Jung (DPAMS TECH Co., Ltd)
  • 박순옥 (동서울대학교 기계자동차공학과) ;
  • 김민학 (동서울대학교 기계자동차공학과) ;
  • 이선경 (동서울대학교 기계자동차공학과) ;
  • 정성택 (디팜스테크)
  • Received : 2023.02.03
  • Accepted : 2023.03.31
  • Published : 2023.03.31
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Abstract

Recently, with the emergence of the 4th industrial revolution, the demand for smart factories and factory automation is increasing. In this study, a tool life prediction program was developed to select optimal machining conditions using CNC milling equipment, which is widely used in flexible production and automation. The equipment used in the experiment was Hwacheon Machine Tool's 5-axis machining equipment, and the tool used was a 17F2R tool. For the machining path, the down-milling cutting method was selected and long-term machining was performed. The analysis standard for side wear on the tool was set at 0.1 to 0.2 mm, and tool life data and wear data were obtained in the cutting experiment. The program was created through the data obtained from the experiment, and a prediction rate of over 90% was secured when comparing the experimental data and the predicted data.

Keywords

References

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