Optimization of process parameters in stereolithography using genetic algorithm

K. Chockalingam; N. Jawahar; E. R. Vijaybabu

doi:10.1117/12.514890

14 October 2003 Optimization of process parameters in stereolithography using genetic algorithm

K. Chockalingam, N. Jawahar, E. R. Vijaybabu

Proceedings Volume 5062, Smart Materials, Structures, and Systems; (2003) https://doi.org/10.1117/12.514890
Event: Smart Materials, Structures, and Systems, 2002, Bangalore, India

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.

Citation Download Citation

K. Chockalingam, N. Jawahar, and E. R. Vijaybabu "Optimization of process parameters in stereolithography using genetic algorithm", Proc. SPIE 5062, Smart Materials, Structures, and Systems, (14 October 2003); https://doi.org/10.1117/12.514890

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