Adaptive neuro-fuzzy inference system modeling of cryogenically treated AISI M2 HSS turning tool for estimation of flank wear

Expert Systems with Applications

Volumn 39, Issue 4, 2012, Pages 4171-4180

  Gill, Simranpreet Singh ^a   Singh, Rupinder ^b   Singh, Jagdev ^a   Singh, Harpreet ^c  

^a BEANT COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

^b GURU NANAK DEV ENGINEERING COLLEGE   (India)

^c INDIAN INSTITUTE OF TECHNOLOGY ROPAR   (India)

Author keywords

ANFIS; Cryogenic treatment; Fuzzy logic; Neural networks; Soaking temperature; Tool flank wear

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AISI M2; ANFIS; ANFIS MODEL; ARTIFICIAL NEURAL NETWORK; COMBINED MODELING; CORRELATION COEFFICIENT; CRYOGENIC TREATMENTS; CUTTING SPEED; CUTTING TIME; DATA POINTS; EXPERIMENTAL DATA; FLANK WEAR; HIGH-SPEED STEELS; HOT-ROLLED; LEARNING ABILITIES; MEAN ERRORS; SET OF RULES; SOAKING TEMPERATURE; STEADY-STATE CONDITION; TOOL FLANK WEAR; TURNING TOOLS;

CRYOGENICS; CUTTING TOOLS; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; NEURAL NETWORKS; WEAR RESISTANCE;

FUZZY SYSTEMS;

EID: 82255175702     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.09.117     Document Type: Article

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