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Volumn 7, Issue 3, 2003, Pages 295-314

On-line prediction of delamination in drilling of GFRP by using a neural network approach

Author keywords

Delamination; Drilling; GFRP; Neural network

Indexed keywords

COMPUTER SOFTWARE; DELAMINATION; DRILLING; FEEDFORWARD NEURAL NETWORKS; MACHINE TOOLS; MACHINING; NUMERICAL METHODS; ONLINE SYSTEMS;

EID: 0344034286     PISSN: 10910344     EISSN: None     Source Type: Journal    
DOI: 10.1081/MST-120025280     Document Type: Article
Times cited : (24)

References (12)
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  • 2
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  • 3
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    • Dharan, C.K.H.1    Won, M.S.2
  • 4
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    • An approach for development of damage-free drilling of carbon fiber reinforced thermosets
    • Enemuoh, U. E., El-Gizawy, A. S., Okafor, C. A. (2001). An approach for development of damage-free drilling of carbon fiber reinforced thermosets. Int. J. Mach. Tools Manuf. 41(12):1795-1814.
    • (2001) Int. J. Mach. Tools Manuf. , vol.41 , Issue.12 , pp. 1795-1814
    • Enemuoh, U.E.1    El-Gizawy, A.S.2    Okafor, C.A.3
  • 5
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  • 6
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  • 7
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    • Quality definition and assessment in drilling of fibre reinforced thermosets
    • Koenig, W., Grass, P. (1989). Quality definition and assessment in drilling of fibre reinforced thermosets. CIRP Ann. 38(1):119-124.
    • (1989) CIRP Ann. , vol.38 , Issue.1 , pp. 119-124
    • Koenig, W.1    Grass, P.2
  • 9
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    • Prediction of delamination load in drilling of graphite/epoxy composites
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  • 10
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    • A neural thrust force controller to minimize delamination in drilling of graphite-epoxy laminates
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  • 11
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    • Prediction of the location of delamination in the drilling of composite laminates
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.