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Improving Dimensional Accuracy and Surface Finish of Parts Produced by FDM Using RSM and Genetic Algorithm

Author(s):

O. Y. Venkata subba reddy , ANNAMACHARAYA INSTITUTE OF TECHNOLOGY AND SCIENCES; M. Maruthi Prasad, ANNAMACHARAYA INSTITUTE OF TECHNOLOGY AND SCIENCES; N. Jaya Krishna, ANNAMACHARAYA INSTITUTE OF TECHNOLOGY AND SCIENCES; K. Ajaya Kumar reddy, ANNAMACHARAYA INSTITUTE OF TECHNOLOGY AND SCIENCES

Keywords:

Fused Deposition Modeling, ABS material, Genetic algorithm, Response surface methodology

Abstract

Fused Deposition Modeling (FDM) is one of the Rapid prototype (RP) process that produced prototype from plastic material such as ABS(Acrylonitrile-Butadiene-Styrene) by lying track of semi molten plastic filament on to a platform in a layer wise manner from bottom to top. The quality of FDM made parts are highly depends upon various process parameters of FDM process. The process parametersviz., layer thickness, part orientation, raster angle, raster width and air gap. The present paper deals with various part quality measures such as improvement in dimensional accuracy and minimization of surface roughness. Initially the influence of important process parameters along with their interactions has been studied. The part produced from FDM machine does not match with dimension of CAD model due to presence of shrinkage. However, shrinkage is more prominent in length and width direction but a positive deviation is observed in diameter direction. Influence of each parameter on responses such as percentage change in length, width, diameter and surface response of the build part have been studied. The effect of process parameters on responses are studied through Response surface methodology (RSM). Then optimization of process parameters to be done throughgenetic algorithm to minimize the percentage change in length, width, diameter and surface roughness. Hence optimization of FDM process parameters is necessary in order to improve the quality of parts.

Other Details

Paper ID: IJSRDV3I30228
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 85-91

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