Optimizing process parameters for selective laser sintering based on neural network and genetic algorithm

International Journal of Advanced Manufacturing Technology

Volumn 42, Issue 11-12, 2009, Pages 1035-1042

  Rong Ji, Wang ^a   Xin Hua, Li ^a   Qing Ding, Wu ^a   Lingling, Wang ^b  

^a CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY   (China)

^b HUNAN UNIVERSITY   (China)

Author keywords

Genetic algorithm; Neural network model; Process parameter; Selective laser sintering (SLS)

Indexed keywords

INTERVAL TIME; LASER POWER; LAYER THICKNESS; NEURAL NETWORK MODEL; OPTIMAL METHODS; PROCESS PARAMETER; PROCESS PARAMETERS; PROCESSING PARAMETERS; SCANNING MODE; SCANNING SPEED; SELECTIVE LASER SINTERING; SELECTIVE LASER SINTERING (SLS);

CONCURRENT ENGINEERING; GENETIC ALGORITHMS; JOB ANALYSIS; LASER HEATING; LASERS; NEURAL NETWORKS; OPTIMIZATION; PINCH EFFECT; RAPID PROTOTYPING; SCANNING; SINTERING; STAINLESS STEEL;

MATHEMATICAL MODELS;

EID: 67650215352     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-008-1669-0     Document Type: Article

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