서지주요정보
컴퓨터 비전을 이용한 공구상태 검사 시스템 개발에 관한 연구 = A study on the development of cutting tool inspection system using computer vision
서명 / 저자 컴퓨터 비전을 이용한 공구상태 검사 시스템 개발에 관한 연구 = A study on the development of cutting tool inspection system using computer vision / 권오달.
저자명 권오달 ; Kwon, Oh-Dal
발행사항 [대전 : 한국과학기술원, 1997].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8007163

소장위치/청구기호

학술문화관(문화관) 보존서고

DME 97016

휴대폰 전송

도서상태

이용가능

대출가능

반납예정일

초록정보

An increasing diversity of variants, reductions in the effective production life and a growing level of complexity in products all represent market factors. Companies must react to these factors in the field of manufacturing engineering. Flexible manufacturing systems(FMS) and computer integrated manufacturing(CIM) systems have been development to respond to the demands. FMS may be defined as a system dealing with high level distribution data processing and automated material flow using computer controlled machines, assembly cells, and so on together with computer integrated material handling and storage systems. Tooling management is one of the most essential aspects of an effectiveFMS.Implementation of an effective TMS will reduce tool cost and inventory, decrease machine downtime, and improve the quality of the parts being produced. A proper tooling management strategy must contain monitoring and control of the tooling used in the FMS. A successful tool wear/fracture sensor has been a long standing goal of the manufacturing community. Some research workers have focused their studies on the tool life with significant amounts of experimentation and theoretical analyses and developed that correlate tool life with parameters. On the other hand, even more methods have been developed for tool wear sensing, none of which has achieved significant use in industry. In this paper, one of the sensing methods of cutting tool condition on the basis of image processing is developed. This paper presents quantitative measuring systems of flank wear and crater wear, and a qualitative discrimination method of tool conditions using neural network is described. In the flank wear measurement, a mathematical model of tool cutting edge is established with describing minor/major cutting edge and nose as two straight lines and a circle. Flank wear can be calculated from the distant between the worn-out tool cutting edge and the fresh tool cutting edge created by the model. In the crater wear measurement, to obtain the crater contour, the contour detection algorithm which can adapt in a noisy image using the image consolidation and dilation process is suggested. Also to measure the crater depth, the automatic focusing method is applied with 1-D search algorithm for finding best focus. In the pattern recognition, a multilayered perceptron with back-propagation algorithm has been used. Some characteristic features of tool shape are extracted and used as input of neural network. The neural network system can recognize 15 kinds of tool abnormalities. The experimental results performed in the several worn-out tools have proved the effectiveness of the method proposed.

서지기타정보

서지기타정보
청구기호 {DME 97016
형태사항 x, 120 p. : 삽도 ; 26 cm
언어 한국어
일반주기 부록 : 체인코딩을 이용한 기학학적 형상 계산
저자명의 영문표기 : Oh-Dal Kwon
지도교수의 한글표기 : 양민양
지도교수의 영문표기 : Min-Yang Yang
수록잡지명 : "Crater wear measurement using computer vision and automatic focusing". Journal of Materals Processing Technology. Elsvier Science Publishers, vol. 58, pp. 362-367
학위논문 학위논문(박사) - 한국과학기술원 : 기계공학과,
서지주기 참고문헌 : p. 106-115
주제 공구관리시스템
영상처리
플랭크 마멸
크레이터 마멸
신경회로망
TMS
Image processing
Flank wear
Crater wear
Neural network
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