Abstract
Fused filament fabrication (FFF) is a layer-by-layer additive manufacturing (AM) process for producing parts. For industries to gain a competitive advantage, reducing product development cycle time is a basic goal. As a result, industries’ attention has turned away from traditional product development processes toward rapid prototyping techniques. Because different process parameters employed in this method significantly impact the quality of FFF manufactured parts, it is essential to optimize FFF process parameters to enhance component quality. The paper presents optimization of fused filament fabrication process parameters to improve the shape deviation such as cylindricity and circularity of 3D printed parts with the Taguchi optimization method. The effect of thickness, infill pattern, number of walls, and layer height was investigated as variable parameters for experiments on cylindricity and circularity. The MarkForged® used Nylon White (PA6) to create the parts. ANOVA and the S/N ratio are also used to evaluate and optimize the influence of chosen factors. As a result, it was concluded that the hexagonal infill pattern, the thickness of 5 mm, wall layer of 2, and a layer height of 1.125 mm were known to be the optimal process parameters for circularity and cylindricity in experiments. Then a linear regression model was created to observe the relationship between the control variables with cylindricity and circularity. The results were confirmed by a confirmation test.
Highlights
In the additive manufacturing process (AM), one of the fast prototyping methods, the CAD model is designed first and made in 3D
The results indicate that a lower extrusion temperature, smaller layer thickness, lower infill density, and hexagonal infill pattern will improve the dimensional accuracy
S/N ratio (η) can be obtained by using Equation (1), where MSD stands for mean-square deviation, the average of the data points is indicated by the Y, and Y0 represents the target value, and σ2 is the variance
Summary
In the additive manufacturing process (AM), one of the fast prototyping methods, the CAD model is designed first and made in 3D. The AM process is a layer-by-layer production process. Other names for this process are layer manufacturing, additive procases, free-form fabrication, and solid free-form fabrication [1]. Three-dimensional printed parts show different properties depending on other AM techniques [2]. Fused deposition modeling (FDM), selective laser melting (SLM), multi-jet modeling (MJM), laminated object manufacturing (LOM), and stereolithography (SLA) and selective laser sintering (SLS) are various additive manufacturing (AM) methods [3,4,5,6,7,8]. The use of AM method has increased because it reduces post-processing, material wastes, lower costs, creates high customization manufacturing parts, and greatly reduces overall product development [9,10]
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