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Volumn 33, Issue 3, 2008, Pages 227-233

An effective sensor for tool wear monitoring in face milling: acoustic emission

Author keywords

Acoustic emission; Inserts; Tool wear monitoring

Indexed keywords

AE SIGNALS; CHIP FORMATIONS; CHIPPING; CUTTING CONDITIONS; CUTTING FORCES; CUTTING TESTS; ENVIRONMENTAL NOISES; FACE MILLINGS; FLANK WEAR; FREQUENCY RANGES; INSERTS; MACHINING PROCESSES; MANUFACTURING PROCESSES; MONITORING TOOLS; PROCESS CHANGES; SENSING TOOLS; TOOL CONDITION MONITORING; TOOL CONDITIONS; TOOL FAILURES; TOOL FRACTURES; TOOL WEAR; TOOL WEAR MONITORING; VERTICAL MILLINGS;

EID: 54249158837     PISSN: 02562499     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12046-008-0016-3     Document Type: Article
Times cited : (45)

References (3)
  • 1
    • 0031235710 scopus 로고    scopus 로고
    • Neural Network Solutions to the Tool Condition Monitoring problem in Metal Cutting - A Critical Review of Methods
    • Dimla D E Jr, Lister P M, Leighton N J 1997 Neural Network Solutions to the Tool Condition Monitoring problem in Metal Cutting - A Critical Review of Methods. Int. J. Much. Tools Manufact. 37(9): 1219-1241
    • (1997) Int. J. Much. Tools Manufact , vol.37 , Issue.9 , pp. 1219-1241
    • Dimla Jr, D.E.1    Lister, P.M.2    Leighton, N.J.3
  • 3
    • 54249087472 scopus 로고    scopus 로고
    • In-process detection of tool wear in face milling using acoustic emission
    • Toronto, Canada, Oct 25-28
    • Pai P S, Rao P K R 1998 In-process detection of tool wear in face milling using acoustic emission. Second International Tribology Conference, Toronto, Canada, Oct 25-28
    • (1998) Second International Tribology Conference
    • Pai, P.S.1    Rao, P.K.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.