Tool wear prediction from acoustic emission and surface characteristics via an artificial neural network

Mechanical Systems and Signal Processing

Volumn 13, Issue 6, 1999, Pages 955-966

  Wilkinson, P ^a   Reuben, R L ^a   Jones, J D C ^a   Barton, J S ^a   Hand, D P ^a   Carolan, T A ^a   Kidd, S R ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC EMISSIONS; NEURAL NETWORKS; SURFACE TOPOGRAPHY; WEAR OF MATERIALS;

TOOL WEAR PREDICTION;

MILLING (MACHINING);

EID: 0033329145     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1006/mssp.1999.1231     Document Type: Article

References (18)

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