Optimization of the Printing Parameters to Improve the Surface Roughness in Fused Deposition Modeling

A better surface finish is an essential requirement of any component in particular medical components. The recent development in additive manufacturing technology produces components with a good surface finish. However, the optimization of process parameters helps to achieve a better surface finish....

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Main Authors: Kothandaraman Logesh, Balasubramanian Navin Kumar
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_03003.pdf
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author Kothandaraman Logesh
Balasubramanian Navin Kumar
author_facet Kothandaraman Logesh
Balasubramanian Navin Kumar
author_sort Kothandaraman Logesh
collection DOAJ
description A better surface finish is an essential requirement of any component in particular medical components. The recent development in additive manufacturing technology produces components with a good surface finish. However, the optimization of process parameters helps to achieve a better surface finish. This paper focuses on the optimization of printing parameters of the surface roughness of a flat object developed from an FDM printer. FDM (Fused Deposition Modeling) is a layer-by-layer deposition process to develop 3D objects. It uses solid-state material (Filament) to print the product by melting and depositing the material on the printing bed. Several factors in the FDM process can affect the product’s quality. The parameters such as printing temperature, bed temperature, printing speed, fill density, layer thickness, and air gap influence the quality of the printed products. This investigation has considered printing temperature, layer height, and printing as process parameters. In addition, the parameter affecting the printed object’s surface finish is determined using ANOVA optimization and S/N ratios. PLA (Polylactic Acid) is taken as study material which is one of the feedstocks used in polymer filament and finds its applications in implant printing and medical tools.
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spelling doaj.art-6db8afb0f4734a3bb48672fe854032e72023-07-21T09:28:45ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013990300310.1051/e3sconf/202339903003e3sconf_iconnect2023_03003Optimization of the Printing Parameters to Improve the Surface Roughness in Fused Deposition ModelingKothandaraman Logesh0Balasubramanian Navin Kumar1Research Scholar, Institute of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical SciencesAssociate professor, Institute of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical SciencesA better surface finish is an essential requirement of any component in particular medical components. The recent development in additive manufacturing technology produces components with a good surface finish. However, the optimization of process parameters helps to achieve a better surface finish. This paper focuses on the optimization of printing parameters of the surface roughness of a flat object developed from an FDM printer. FDM (Fused Deposition Modeling) is a layer-by-layer deposition process to develop 3D objects. It uses solid-state material (Filament) to print the product by melting and depositing the material on the printing bed. Several factors in the FDM process can affect the product’s quality. The parameters such as printing temperature, bed temperature, printing speed, fill density, layer thickness, and air gap influence the quality of the printed products. This investigation has considered printing temperature, layer height, and printing as process parameters. In addition, the parameter affecting the printed object’s surface finish is determined using ANOVA optimization and S/N ratios. PLA (Polylactic Acid) is taken as study material which is one of the feedstocks used in polymer filament and finds its applications in implant printing and medical tools.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_03003.pdf
spellingShingle Kothandaraman Logesh
Balasubramanian Navin Kumar
Optimization of the Printing Parameters to Improve the Surface Roughness in Fused Deposition Modeling
E3S Web of Conferences
title Optimization of the Printing Parameters to Improve the Surface Roughness in Fused Deposition Modeling
title_full Optimization of the Printing Parameters to Improve the Surface Roughness in Fused Deposition Modeling
title_fullStr Optimization of the Printing Parameters to Improve the Surface Roughness in Fused Deposition Modeling
title_full_unstemmed Optimization of the Printing Parameters to Improve the Surface Roughness in Fused Deposition Modeling
title_short Optimization of the Printing Parameters to Improve the Surface Roughness in Fused Deposition Modeling
title_sort optimization of the printing parameters to improve the surface roughness in fused deposition modeling
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_03003.pdf
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