Tool wear prediction models during end milling of glass fibre-reinforced polymer composites

International Journal of Advanced Manufacturing Technology

Volumn 67, Issue 1-4, 2013, Pages 701-718

  Azmi, A I ^a,b   Lin, R J T ^a   Bhattacharyya, D ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b UNIVERSITY MALAYSIA PERLIS   (Malaysia)

Author keywords

End milling; GFRP composites; Neuro fuzzy modelling; Regression analysis; Tool wear prediction

Indexed keywords

END MILLING; FIBRE-REINFORCED POLYMER COMPOSITES; GFRP COMPOSITES; HYBRID LEARNING ALGORITHM; MULTIPLE REGRESSION ANALYSIS; NEURO-FUZZY MODELLING; NON-LINEAR MEMBERSHIP FUNCTIONS; TOOL WEAR;

COMPOSITE MATERIALS; FORECASTING; MILLING (MACHINING); REGRESSION ANALYSIS; TOOLS;

WEAR OF MATERIALS;

EID: 84888351441     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-012-4516-2     Document Type: Article

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