A hybrid algorithm to optimize cutting parameter for machining GFRP composite using alumina cutting tools

International Journal of Advanced Manufacturing Technology

Volumn 59, Issue 9-12, 2012, Pages 1047-1056

  Khan, M Adam ^a   Kumar, A Senthil ^a   Poomari, A ^a  

^a SETHU INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Ceramic; GA; GFRP composite; Hybrid algorithm; Neural network; PSO

Indexed keywords

ACCURATE PREDICTION; CERAMIC; CUTTING PARAMETERS; GFRP COMPOSITES; HYBRID ALGORITHMS; HYBRID NEURAL NETWORKS; NEURAL NETWORK MODEL; OPTIMAL CUTTING; ORTHOGONAL DESIGN; PARTICLE SWARM; PSO; TOOL LIFE; UNIT PRODUCTION COST;

ALUMINA; CERAMIC CUTTING TOOLS; GALLIUM; GLASS FIBERS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SILICON CARBIDE; TURNING;

GENETIC ALGORITHMS;

EID: 84866844213     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-011-3553-6     Document Type: Article

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