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Proceedings Paper

Optimization of process parameters in stereolithography using genetic algorithm
Author(s): K. Chockalingam; N. Jawahar; E. R. Vijaybabu
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Paper Abstract

Stereolithography is the most popular RP process in which intricate models are directly constructed from a CAD package by polymerizing a plastic monomer. The application range is still limited, because dimensional accuracy is still inferior to that of conventional machining process. The ultimate dimensional accuracy of a part built on a layer-by-layer basis depends on shrinkage which depend on many factors such as layer thickness, hatch spacing, hatch style, hatch over cure and fill cure depth. The influence of the above factors on shrinkage in X and Y directions fit to the nonlinear pattern. A particular combination of process variables that would result same shrinkage rate in both directions would enable to predict shrinkage allowance to be provided on a part and hence the CAD model could be constructed including shrinkage allowance. In this concern, the objective of the present work is set as determination of process parameters to have same shrinkage rate in both X and Y directions. A genetic algorithm (GA) is proposed to find optimal process parameters for the above objective. This approach is an analytical approach with experimental sample data and has great potential to predict process parameters for better dimensional accuracy in stereolithography process.

Paper Details

Date Published: 14 October 2003
PDF: 8 pages
Proc. SPIE 5062, Smart Materials, Structures, and Systems, (14 October 2003); doi: 10.1117/12.514890
Show Author Affiliations
K. Chockalingam, Thiagarajar College of Engineering (India)
N. Jawahar, Thiagarajar College of Engineering (India)
E. R. Vijaybabu, Thiagarajar College of Engineering (India)


Published in SPIE Proceedings Vol. 5062:
Smart Materials, Structures, and Systems

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