Optimization of FDM 3D Printer Process Parameters to Minimize Dimensional Errors with PLA Material Using Response Surface Methodology

This paper presents a response surface methodology to fit a second-order response surface model aimed to finding process parameters to minimize length error (LE) and diameter error of the cylindrical shafts (DE) in fused deposition modeling (FDM) using polylactic acid (PLA) material. The process parameters in this study included layer height (LH), which varied from 0.1 to 0.4 mm, and print speed (PS), which ranged from 20 to 60 mm/s, while other parameters were set to constant values. The results showed that optimal process parameters obtained in this study significantly lower dimensional errors than the initial parameterization recommended by UltiMaker Cura software.

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Publication Details

Journal
Materials science forum
Published
2024-11-05
DOI
https://doi.org/10.4028/p-kpk9pb
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
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article

Optimization of FDM 3D Printer Process Parameters to Minimize Dimensional Errors with PLA Material Using Response Surface Methodology

Apichit Maneengam, Tossaporn Assawarungsri, Wannalak Laotaweesub, Patpimol Suwankan et al.
Materials science forum
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article

Optimization of FDM 3D Printer Process Parameters to Minimize Dimensional Errors with PLA Material Using Response Surface Methodology

Apichit Maneengam, Tossaporn Assawarungsri, Wannalak Laotaweesub, Patpimol Suwankan, Tattapong Limlay, Tanongsak Kongsin, Kanlaya Ubontip
article en

Abstract

This paper presents a response surface methodology to fit a second-order response surface model aimed to finding process parameters to minimize length error (LE) and diameter error of the cylindrical shafts (DE) in fused deposition modeling (FDM) using polylactic acid (PLA) material. The process parameters in this study included layer height (LH), which varied from 0.1 to 0.4 mm, and print speed (PS), which ranged from 20 to 60 mm/s, while other parameters were set to constant values. The results showed that optimal process parameters obtained in this study significantly lower dimensional errors than the initial parameterization recommended by UltiMaker Cura software.

Materials science forumVol. 1131
King Mongkut's University of Technology North Bangkok (TH)
Openalex Percentile: Top 79%
Additive Manufacturing and 3D Printing Technologies
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