Experimental Investigation using Taguchi Method to Optimize Process Parameters of Fused Deposition Modeling for ABS and Nylon Materials

2018 ◽  
Vol 5 (2) ◽  
pp. 7106-7114 ◽  
Author(s):  
M. Vishwas ◽  
C.K. Basavaraj ◽  
M. Vinyas
Keyword(s):  
Experimental Investigation ◽  
Taguchi Method ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Fused Deposition ◽  
Deposition Modeling

Process-Parameter Optimization for Fused Deposition Modeling Based on Taguchi Method

2012 ◽  
Vol 538-541 ◽  
pp. 444-447 ◽  
Author(s):  
Jin Wen Zhang ◽  
An Hua Peng
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Dimensional Error ◽  
Fused Deposition ◽  
Performance Indexes ◽  
Deposition Modeling ◽  
Warpage Deformation

Abstract: Aiming at such performance indexes in fused deposition modeling (FDM) as dimensional error (DE) and warpage deformation (WD), and selecting four process parameters, wire-width compensation (A), extrusion velocity (B), filling velocity (C), and layer thickness (D), as controlling factors, this paper optimized the four process parameters by means of Taguchi method combined with fuzzy comprehensive evaluation. The optimization results show that the parameter with the most significant influence on the performance indexes is A, followed by B, D, and C, and that the optimum combination of the process parameters is A1B1C2D3.

Effect of process parameters on flexural strength and surface roughness in fused deposition modeling of PC-ABS material

2021 ◽  
pp. 251659842110311
Author(s):  
Shrikrishna Pawar ◽  
Dhananjay Dolas1
Keyword(s):  
Surface Roughness ◽  
Flexural Strength ◽  
Response Surface ◽  
Layer Thickness ◽  
Process Parameters ◽  
Surface Finish ◽  
Fused Deposition Modeling ◽  
Build Orientation ◽  
Fused Deposition ◽  
Deposition Modeling

Fused deposition modeling (FDM) is one of the most commonly used additive manufacturing (AM) technologies, which has found application in industries to meet the challenges of design modifications without significant cost increase and time delays. Process parameters largely affect the quality characteristics of AM parts, such as mechanical strength and surface finish. This article aims to optimize the parameters for enhancing flexural strength and surface finish of FDM parts. A total of 18 test specimens of polycarbonate (PC)-ABS (acrylonitrile–butadiene–styrene) material are printed to analyze the effect of process parameters, viz. layer thickness, build orientation, and infill density on flexural strength and surface finish. Empirical models relating process parameters with responses have been developed by using response surface regression and further analyzed by analysis of variance. Main effect plots and interaction plots are drawn to study the individual and combined effect of process parameters on output variables. Response surface methodology was employed to predict the results of flexural strength 48.2910 MPa and surface roughness 3.5826 µm with an optimal setting of parameters of 0.14-mm layer thickness and 100% infill density along with horizontal build orientation. Experimental results confirm infill density and build orientation as highly significant parameters for impacting flexural strength and surface roughness, respectively.

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