Process optimization of the serial-parallel hybrid polishing machine tool based on artificial neural network and genetic algorithm

Journal of Intelligent Manufacturing

Volumn 23, Issue 3, 2012, Pages 365-374

  Wang, Guilian ^a,b   Wang, Yiqiang ^a,c   Zhao, Ji ^a   Chen, Guiliang ^a  

^a JILIN UNIVERSITY   (China)

^b JIAMUSI UNIVERSITY   (China)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

Artificial neural network; Genetic algorithm; Mould free form surface; Surface roughness; The serial parallel hybrid polishing machine tool

Indexed keywords

ACTIVE COMPLIANT; CHOICE OF PARAMETERS; DATA SAMPLE; FREE-FORM SURFACE; MACHINING QUALITY; MOVING PLATFORM; MULTI OBJECTIVE OPTIMIZATIONS (MOO); OPTIMAL PROCESS; OPTIMIZATION MODELS; PARALLEL MECHANISMS; PNEUMATIC SERVO SYSTEMS; POLISHING TOOL; PROCESS PARAMETERS; SINGLE OBJECTIVE OPTIMIZATION; TWO DEGREES OF FREEDOM;

EXPERT SYSTEMS; GENETIC ALGORITHMS; MECHANISMS; MOLDS; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; POLISHING MACHINES; SURFACE ROUGHNESS;

POLISHING;

EID: 84862278723     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-009-0376-5     Document Type: Article

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