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Determination of optimum SLA process parameters of H-shaped parts.
- Source :
- Journal of Mechanical Science & Technology; Mar2013, Vol. 27 Issue 3, p857-863, 7p
- Publication Year :
- 2013
-
Abstract
- A model was proposed for optimization of stereolithography (SLA) process parameters to achieve the minimum shrinkage of H-shaped parts. A neural network was designed to correlate the input parameters to dimensional error of the parts manufactured by SLA. For this purpose, the data of a previous study from the literature was used that investigated the effect of three important parameters (layer thickness, hatch overcure and hatch spacing) of the SLA process by measuring the H-shaped parts manufactured by SLA 250. Then, the neural network model was imported into two optimization algorithms (genetic algorithm and simulated annealing) and the optimal values were determined. Results showed that the combination of neural network and optimization algorithms could determine the optimal input parameters for the minimum shrinkage with good accuracy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1738494X
- Volume :
- 27
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Mechanical Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 86212818
- Full Text :
- https://doi.org/10.1007/s12206-013-0111-1