BibTeX:

@article{IJIRSTV1I7055,
     title={Parametric Optimization of the process of Fused Deposition Modeling in Rapid Prototyping Technology- A Review },
     author={Vishal N. Patel and Mr. Kamlesh P. Kadia},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={7},
     pages={80--82},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I7055.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Rapid prototyping (RP) refers to a class of technology that can automatically construct the physical models from computer aided design (CAD) data. Fused deposition modeling is one of the RP process that produced prototype from plastic material 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 process variable parameters of layer thickness (A), air gap (B), raster width (C), contour width (D), and raster orientation (E) on the mechanical properties viz. tensile, flexural, impact strength and hardness of part fabricated using fused deposition modeling (FDM) technology. To conduct this study, a full Taguchi experiment was used to obtain the test runs. A number of analytical methods Analysis of Variance (ANOVA), used to determine the influence of the variable FDM process parameter settings. Hence optimization of FDM 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 FDM process.

Fused Deposition Modeling (FDM), Optimization, Taguchi Approach and Analysis of Variance (AN0VA)