| Issue |
EPJ Web Conf.
Volume 341, 2025
2nd International Conference on Advent Trends in Computational Intelligence and Communication Technologies (ICATCICT 2025)
|
|
|---|---|---|
| Article Number | 01052 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/epjconf/202534101052 | |
| Published online | 20 November 2025 | |
https://doi.org/10.1051/epjconf/202534101052
Numerical Investigation of Torsional Analysis of 3D-Printed PLA Components using Finite Element Analysis
1 Research Scholar, Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, India & Assistant Professor, Yeshwantrao Chavan College of Engineering (YCCE), Nagpur, India
2 Associate Professor, Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, India
Published online: 20 November 2025
Abstract
Additive manufacturing with polylactic acid (PLA) has evolved from rapid prototyping to producing functional mechanical components, necessitating accurate prediction of torsional performance for reliable design. This paper presents a numerical investigation of the torsional behavior of FDM-printed PLA components using finite element analysis (FEA). A solid CAD model was analyzed under torque loading, with one end fixed and the opposite subjected to rotational displacement. The model assumed linear elastic isotropic material behavior and underwent mesh convergence testing to ensure numerical accuracy. Results include shear stress contours, torsional stiffness, and angle of twist, which were compared against analytical torsion theory for validation. The findings demonstrate that torsional rigidity and stress distribution strongly depend on infill orientation and density, consistent with trends reported in recent studies. The proposed framework provides a reliable approach for optimizing the torsional design of 3D-printed PLA components in engineering applications.
Key words: Additive Manufacturing / Fused Deposition Modeling (FDM) / Polylactic Acid (PLA) / Finite Element Analysis (FEA) / Torsional Stiffness / Numerical Simulation
© 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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