Parameters optimization of a nano-particle wet milling process using the Taguchi method, response surface method and genetic algorithm

Powder Technology

Volumn 173, Issue 3, 2007, Pages 153-162

  Hou, Tung Hsu ^a   Su, Chi Hung ^a   Liu, Wang Lin ^b,c  

^a NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL CHANGHUA UNIVERSITY OF EDUCATION   (Taiwan)

^c Precision Machinery Research and Development Center   (Taiwan)

Author keywords

Genetic algorithm (GA); Nano particle; Response surface method (RSM); Taguchi method; Wet type milling process

Indexed keywords

GENETIC ALGORITHMS; NANOPARTICLES; OPTIMIZATION; PARAMETER ESTIMATION; TAGUCHI METHODS;

RESPONSE SURFACE METHOD (RSM); WET-TYPE MILLING PROCESS;

COMMINUTION;

NANOMATERIAL; NANOPARTICLE; ZIRCONIUM OXIDE;

COMMINUTION; GENETIC ALGORITHMS; NANOPARTICLES; OPTIMIZATION; PARAMETER ESTIMATION; TAGUCHI METHODS;

ANALYSIS OF VARIANCE; ARTICLE; COMPUTER PROGRAM; DATA ANALYSIS; GENETIC ALGORITHM; MACHINE; MATHEMATICAL PARAMETERS; METHODOLOGY; NANOTECHNOLOGY; PARTICLE SIZE; PLANNING; RESPONSE SURFACE METHOD; ROTATION; STOCHASTIC MODEL; TEMPERATURE; VELOCITY; WET TYPE MILLING PROCESS;

EID: 34047155545     PISSN: 00325910     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.powtec.2006.11.019     Document Type: Article

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