Optimization Parameters for PLA Through Additive Manufacturing: Taking Mixed Shapes as an Example

In recent years, additive manufacturing has been widely used in industrial, medical, and educational fields. Material extrusion is used in most industries to increase development efficiency and reduce costs. This study used the material extrusion to discuss the print quality of additive manufacturing and optimized the processing parameters based on material properties. Based on the literature, this study summarized the fishbone diagram influencing printing quality. The layer height, nozzle temperature, printing speed, infill pattern, and filling spacing were selected as the control factors of the Taguchi method. An orthogonal array L16 was used for parameter design. The optimal parameters were analyzed using the variance and the response surface method. The results of the study are as follows.

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Publication Details

Journal
Applied Sciences
Published
2024-11-03
DOI
https://doi.org/10.3390/app142110035
Citations
1
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.20
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article

Optimization Parameters for PLA Through Additive Manufacturing: Taking Mixed Shapes as an Example

Dyi‐Cheng Chen, Yuting Chen
1 citations
Applied Sciences
Additive Manufacturing and 3D Printing Technologies
0.20
article

Optimization Parameters for PLA Through Additive Manufacturing: Taking Mixed Shapes as an Example

Dyi‐Cheng Chen, Yuting Chen
article en
1 citations

Abstract

In recent years, additive manufacturing has been widely used in industrial, medical, and educational fields. Material extrusion is used in most industries to increase development efficiency and reduce costs. This study used the material extrusion to discuss the print quality of additive manufacturing and optimized the processing parameters based on material properties. Based on the literature, this study summarized the fishbone diagram influencing printing quality. The layer height, nozzle temperature, printing speed, infill pattern, and filling spacing were selected as the control factors of the Taguchi method. An orthogonal array L16 was used for parameter design. The optimal parameters were analyzed using the variance and the response surface method. The results of the study are as follows.

Applied SciencesVol. 14(21)
National Changhua University of Education (TW)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Additive Manufacturing and 3D Printing Technologies
0.20
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Optimization Parameters for PLA Through Additive Manufacturing: Taking Mixed Shapes as an Example — Dyi‐Cheng Chen, Yuting Chen · Applied Sciences (2024) | TGRS Research Map | TGRS