한국공작기계학회논문집 (Transactions of the Korean Society of Machine Tool Engineers)

한국생산제조학회 (The Korean Society of Manufacturing Technology Engineers)
권호 표지

PNN을 이용한 기상측정데이터 기반 가공오차보상법

Integrated Machining Error Compensation Method Using OMM Data and Modified PNN Algorithm

  • 서태일 (인천대학교 기계공학과) ;
  • 조명우 (인하대학교 기계공학과) ;
  • 홍연찬 (인천대학교 전자공학과) ;
  • 김건희 (인하대학교 기계공학과 대학원)
  • 발행 : 2006.08.01
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초록

This paper presents an integrated machining error compensation method based on PNN(Polynomial Neural Network) approach and inspection database of OMM(On-Machine-Measurement) system. To efficiently analyze the machining errors, two machining error parameters are defined and modeled using the PNN approach, which is used to determine machining errors for the considered cutting conditions. Experiments are carried out to validate the approaches proposed in this paper. In result, the proposed methods can be effectively implemented in a real machining situation, producing much fewer errors.

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참고문헌

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