Prediction of the flow stress of 6061 Al-15% SiC - MMC composites using adaptive network based fuzzy inference system

Materials and Design

Volumn 30, Issue 4, 2009, Pages 1362-1370

  Kalaichelvi, V ^a   Sivakumar, D ^a   Karthikeyan, R ^b   Palanikumar, K ^c  

^a ANNAMALAI UNIVERSITY   (India)

^b BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE   (United Arab Emirates)

^c SATHYABAMA UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CARBON FIBER REINFORCED PLASTICS; CHROMIUM; COPPER; FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; METALLIC MATRIX COMPOSITES; NEURAL NETWORKS; PLASTIC FLOW; SILICON; SILICON CARBIDE; STRAIN; STRAIN RATE;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEMS; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS; ALUMINIUM COMPOSITES; ARTIFICIAL NEURAL NETWORKS; CONVERGENCE SPEEDS; ENGINEERING FIELDS; FLOW STRESSES; HOT DEFORMATIONS; MODELING TECHNIQUES; REGRESSION METHODS; SIMULATION STUDIES;

ALUMINUM;

EID: 57349084702     PISSN: 02613069     EISSN: 18734197     Source Type: Journal    
DOI: 10.1016/j.matdes.2008.06.022     Document Type: Article

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