Optimum surface roughness prediction in face milling X20Cr13 using particle swarm optimization algorithm

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 224, Issue 11, 2010, Pages 1645-1653

  Razfar, M R ^a   Asadnia, M ^b   Haghshenas, M ^a   Farahnakian, M ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b Iran University of Industries and Mines   (Iran)

Author keywords

artificial neural network; cutting parameters; face milling; particle swarm optimization; surface roughness

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CUTTING PARAMETERS; EXPERIMENTAL DATA; EXPERIMENTAL MEASUREMENTS; FACE MILLING; MACHINE SETTINGS; NEURAL NETWORK SYSTEMS; OPTIMAL CUTTING PARAMETERS; OPTIMIZATION PROBLEMS; OPTIMIZATION SYSTEM; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION ALGORITHM; PREDICTIVE MODELS;

METAL ANALYSIS; MILLING (MACHINING); NEURAL NETWORKS; STAINLESS STEEL; SURFACE PROPERTIES; SURFACE ROUGHNESS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78649486645     PISSN: 09544054     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544054JEM1809     Document Type: Article

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