Determining optimal parameters for stereolithography processes via geneticalgorithm

Citation
Hs. Cho et al., Determining optimal parameters for stereolithography processes via geneticalgorithm, J MANUF SYS, 19(1), 2000, pp. 18-27
Citations number
20
Categorie Soggetti
Engineering Management /General
Journal title
JOURNAL OF MANUFACTURING SYSTEMS
ISSN journal
02786125 → ACNP
Volume
19
Issue
1
Year of publication
2000
Pages
18 - 27
Database
ISI
SICI code
0278-6125(2000)19:1<18:DOPFSP>2.0.ZU;2-X
Abstract
Current part build accuracy of stereolithography processes needs to be impr oved because part inaccuracy and distortion still limit the processes' appl ication to other areas. This paper focuses on increasing build accuracy by optimally designing the process parameters. The process is modeled and desc ribed by a multilayer perceptron neural network. Based on this modeled proc ess, the genetic algorithm searches the optimal process parameters so that optimal conditions yield minimum part build error. In practice, genetic alg orithms find near-optimal conditions since they do not guarantee true optim al condition. The nearly optimized process is validated by actually buildin g H-parts and comparing these results with those obtained by the currently used nominal condition.