Detection of Tool Wear using Cutting Force Measurement in Turning

선사가공에 절삭력을 이용한 공구마멸의 감지

  • 윤재웅 (대구대학교 자동차·산업·기계공학부) ;
  • 이권용 (대구대학교 자동차·산업·기계공학부) ;
  • 이수철 (대구대학교 자동차·산업·기계공학부) ;
  • 최종근 (순천대학교 자동차공학과)
  • Published : 2001.02.01

Abstract

The development of flexible automation in the manufacturing industry is concerned with production activities performed by unmanned machining system A major topic relevant to metal-cutting operations is monitoring toll wear, which affects process efficiency and product quality, and implementing automatic toll replacements. In this paper, the measurement of the cutting force components has been found to provide a method for an in-process detection of tool wear. The static com-ponents of cutting force have been used to detect flank wear. To eliminate the influence of variations in cutting conditions, tools, and workpiece materials, the force modeling is performed for various cutting conditions. The normalized force dis-parities are defined in this paper, and the relationships between normalized disparity and flank were are established. Final-ly, artificial neural network is used to learn these relationships and detect tool wear. According to proposed method, the static force components could provide the effective means to detect flank wear for varying cutting conditions in turning operation.

Keywords

References

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