Creep feed grinding optimization by an integrated GA-NN system

Journal of Intelligent Manufacturing

Volumn 21, Issue 6, 2010, Pages 657-663

  Sedighi, M ^a   Afshari, D ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Creep feed grinding; Genetic algorithm; Optimization; Surface grinding

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BP MODEL; BP NETWORKS; BP NEURAL NETWORKS; CREEP FEED GRINDING; DEPTH OF CUT; EXPERIMENTAL VALUES; GRINDING CONDITIONS; METAL REMOVAL RATE; OPTIMAL PARAMETER; OPTIMAL PROCESS; OPTIMIZATION PROCESS; SCALED CONJUGATE GRADIENT ALGORITHM; SURFACE GRINDING; WHEEL MATERIAL; WHEEL SPEED; WORKPIECE LENGTH; WORKPIECE MATERIALS; WORKPIECE SPEED;

BACKPROPAGATION; CONJUGATE GRADIENT METHOD; CREEP; GENETIC ALGORITHMS; GRINDING (COMMINUTION); GRINDING (MACHINING); OPTIMIZATION; SURFACE PROPERTIES; SURFACE ROUGHNESS; WHEELS;

NEURAL NETWORKS;

EID: 78650179955     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-009-0243-4     Document Type: Article

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