Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods
This study examines how printing parameters affect the roughness, tensile strength, and elongation of 3D-printed parts used in various applications. Machine learning-based regression models were employed to optimize product quality. The open-source "3D Printer Material Requirement" dataset...
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| Format: | Article |
| Language: | English |
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Firat University
2025-02-01
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| Series: | Firat University Journal of Experimental and Computational Engineering |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/4453736 |
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