scholarly journals OPTIMIZATION OF FUSED DEPOSITION MODELING PROCESS PARAMETERS FOR MATERIAL CONSUMPTION AND MANUFACTURING TIME

Author(s):  
Shrikrishna Pawar ◽  
◽  
Sarfraz Ali Quadri ◽  
Dr. Dhananjay Dolas ◽  
◽  
...  

This paper aims to explore the effect of layer thickness, infill density and build orientation on the material consumption and manufacturing time of specimens printed by the fused deposition modeling process. Specimens in accordance with ASTM Standards were printed by varying the process parameters such as layer thickness, infill density and build orientation. Time required to manufacture the part and amount of material consumed during the process are recorded. Increase in infill density results into increase in material consumption and manufacturing time. Layer thickness and build orientation also impacts manufacturing time and material consumption respectively. With increased application of FDM process, determining the process parameter to decrease the material consumption and manufacturing time shall help the FDM practitioners globally. Present work elucidates the optimization of FDM process parameters to achieve minimum material consumption and manufacturing time.

2021 ◽  
pp. 251659842110311
Author(s):  
Shrikrishna Pawar ◽  
Dhananjay Dolas1

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.


2021 ◽  
pp. 281-295
Author(s):  
Alexandru D. Sterca ◽  
Roxana-Anamaria Calin ◽  
Lucian Cristian ◽  
Eva Maria Walcher ◽  
Osman Bodur ◽  
...  

Polymers ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1539 ◽  
Author(s):  
Huadong Yang ◽  
Fengchao Ji ◽  
Zhen Li ◽  
Shuai Tao

In the fields of agriculture, medical treatment, food, and packaging, polymers are required to have the characteristics of self-cleaning, anti-icing, and anti-corrosion. The traditional preparation method of hydrophobic coatings is costly and the process is complex, which has special requirements on the surface of the part. In this study, fused deposition modeling (FDM) 3D printing technology with design and processing flexibility was applied to the preparation of hydrophobic coatings on polylactic acid (PLA) and acrylonitrile butadiene styrene (ABS) parts, and the relationship between the printing process parameters and the surface roughness and wettability of the printed test parts was discussed. The experimental results show that the layer thickness and filling method have a significant effect on the surface roughness of the 3D-printed parts, while the printing speed has no effect on the surface roughness. The orthogonal experiment analysis method was used to perform the wettability experiment analysis, and the optimal preparation process parameters were found to be a layer thickness of 0.25 mm, the Grid filling method, and a printing speed of 150 mm/s.


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