| Issue |
ITM Web Conf.
Volume 74, 2025
International Conference on Contemporary Pervasive Computational Intelligence (ICCPCI-2024)
|
|
|---|---|---|
| Article Number | 03010 | |
| Number of page(s) | 12 | |
| Section | Engineering, Smart Systems, and Optimization | |
| DOI | https://doi.org/10.1051/itmconf/20257403010 | |
| Published online | 20 February 2025 | |
Optimization of Process Parameters for Maximizing Tensile Strength in 3D-Printed ASTM Specimens: A Comparative Study of Black PLA and Carbon PLA
Department of Mechanical Engineering, KIET Group of Institutions, Ghaziabad, Uttar Pradesh, India
* Email: deveshsinghbsr24@gmail.com
The increasing need for additive manufacturing technologies generally Fused Deposition Modeling (FDM) demands parameter optimization strategies for producing better mechanical components. The study evaluated the tensile strength between ASTM standard specimens constructed utilizing black PLA and carbon PLA filament materials. The authors used regression methods to establish mathematical models that optimized FDM process parameters for maximizing tensile strength levels. Testing confirmed carbon PLA exhibits superior tensile strength than black PLA. The researchestablished optimized input parameter range succeeded in producing optimal tensile strength measurements. The discovered results create essential comprehension for bettering FDM-printed parts performance by selecting materials alongside process parameter optimization.
Key words: 3D printing / FDM / PLA / Testing / Optimization
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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