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Volumn 14, Issue 1, 2009, Pages 4-11

Tool wear monitoring in turning processes using vibratory analysis

Author keywords

[No Author keywords available]

Indexed keywords

CUTTING; FREQUENCY DOMAIN ANALYSIS; HIGHER ORDER STATISTICS; SIGNAL PROCESSING; TURNING; WEAR OF MATERIALS;

EID: 62949184885     PISSN: 10275851     EISSN: None     Source Type: Journal    
DOI: 10.20855/ijav.2009.14.1234     Document Type: Article
Times cited : (12)

References (17)
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  • 2
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    • Online and indirect tool wear monitoring in turning with artificial neural networks: A review of more than a decade of research
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  • 4
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  • 5
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    • Cutting tool crater wear measurement by the lapping-comparator technique
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    • Tsao, K.C.1    Husein, A.B.2    WU, S.M.3
  • 6
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    • Tool wear evaluation by stereo vision and prediction by artificial neural network
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  • 7
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    • Analysis of acoustic emission signals and monitoring of machining processes
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    • Govekar, E.1    Gradisek, J.2    Grabec, I.3
  • 8
    • 0036027418 scopus 로고    scopus 로고
    • A brief review: Acoustic emission method for tool wear monitoring during turning
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  • 9
    • 7044227662 scopus 로고    scopus 로고
    • TWEM, a method based on cutting forces monitoring tool wear in face milling
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  • 10
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    • Influence de l'usure d'un outil de tour sur les vibrations entretenues en coupe
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  • 11
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    • Wear monitoring in turning operations using vibration and strain measurements
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.