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Optimization of 3d Printing Parameters on Surface Roughness by Taguchi Method

Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.10, No. 3)

Publication Date:

Authors : ; ;

Page : 14413-14420

Keywords : Fused Deposition Modeling (FDM); Additive Manufacturing; Poly Lactic Acid (PLA); Taguchi Method & Surface Roughness Test;

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Fused Deposition Modeling (FDM) is a type of rapid prototyping technique used in manufacturing prototypesamong the additive manufacturing technologies.3D printing is a type of FDM where the prototypes are made layer by layer addition of molten filament material.3D printing directly converts the 3D-CAD data into prototypes(model). Our present involves studying the parameters which affect the surface roughness of 3D printed material are optimized. The material used for deposition is Polylactic Acid (PLA), a common thermoplastic polymer. The parameters like infill density, print speed, printing temperature and wall thickness are varied according to the design of experiments. Taguchi method was adopted to design the experiments and an orthogonal array of L9 (34) is designated andperformed to find out the optimal values to minimize the surface roughness of 3D printed PLA material. The surface roughness test isconducted on each specimen as per standards

Last modified: 2020-09-30 16:15:53