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Process parameter optimization of SLM process and application of Taguchi approach– The Review


R. I. Patel , GEC, Dahod (GTU, Ahmadabad); Rajnikant B. Rathod, GEC, Dahod (GTU, Ahmadabad)


Selective Laser Melting (SLM), Optimization, Taguchi approach, Regression analysis


Selective Laser Melting (SLM) is an emerging powder based additive layer manufacturing technology that used to fabricate three-dimensional fully functional parts from metal powders by fusing the material in a layer by layer manner as per a CAD model. The quality of SLM produced parts is significantly affected by various manufacturing parameters of SLM machine. Hence optimization of SLM process parameters is necessary in order to improve the quality of parts. The purpose of this paper is to explore the reviews for various optimization methods used for process parameter optimization of SLM process and application of Taguchi approach. This review of work can be helpful to the other researchers to carry out further work in the same era.

Other Details

Paper ID: IJSRDV1I4046
Published in: Volume : 1, Issue : 4
Publication Date: 01/07/2013
Page(s): 1008-1010

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