Tool wear modelling through regression analysis and intelligent methods for nickel base alloy machining

CIRP Journal of Manufacturing Science and Technology

Volumn 4, Issue 3, 2011, Pages 327-331

  Leone, C ^a   D'Addona, D ^a   Teti, R ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Ni base alloy; Tool wear modelling; Turning

Indexed keywords

ANN PREDICTION; ARTIFICIAL NEURAL NETWORK; CUTTING SPEED; CUTTING TIME; EMPIRICAL MODEL; ENGINE COMPONENTS; FLANK WEAR; INCONEL-718; INTELLIGENT METHOD; NETWORK CONFIGURATION; NI-BASE ALLOYS; NICKEL BASE ALLOYS; NUMBER OF DATUM; ONLINE PREDICTION; SELECTION OF THE BEST; TOOL WEAR; TOOL WEAR MODELLING;

AIRCRAFT ENGINES; FORECASTING; NEURAL NETWORKS; REGRESSION ANALYSIS; STATISTICS; TURNING; WEAR OF MATERIALS;

CERIUM ALLOYS;

EID: 82955237528     PISSN: 17555817     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cirpj.2011.03.009     Document Type: Article

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