Fuzzy logic predictive model of tool wear in end milling glass fibre reinforced polymer composites

Advanced Materials Research

Volumn 214, Issue , 2011, Pages 329-333

  Azmi, A I ^a   Lin, Richard J T ^a   Bhattacharyya, Debes ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

End milling; Fuzzy logic; Glass fibre reinforced polymer; Machinability; Tool wear

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ANFIS MODEL; CUTTING FORCES; DRY CONDITION; END MILL; END MILLING; EXPERIMENTAL DATA; FEED FORCES; FEED-RATES; GLASS FIBRE REINFORCED POLYMER; GLASS FIBRE REINFORCED POLYMERS; HIGHLY NONLINEAR; MACHINING FORCE; PREDICTIVE CAPABILITIES; PREDICTIVE MODELS; SPINDLE SPEED; STATISTICAL ANALYSIS; TOOL WEAR;

COMMINUTION; CUTTING; FIBER REINFORCED PLASTICS; FIBERS; FUZZY INFERENCE; FUZZY SYSTEMS; GLASS FIBERS; MATHEMATICAL MODELS; MILLING (MACHINING); POLYMERS; REINFORCED PLASTICS; TUNGSTEN; TUNGSTEN CARBIDE; WEAR OF MATERIALS;

EQUIPMENT;

EID: 79952427480     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.214.329     Document Type: Conference Paper

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