Issue |
E3S Web Conf.
Volume 631, 2025
6th International Conference on Multidisciplinary Design Optimization and Applications (MDOA 2024)
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Article Number | 01007 | |
Number of page(s) | 11 | |
Section | Prediction and Optimization for Advance Proceeding and Health Monitoring | |
DOI | https://doi.org/10.1051/e3sconf/202563101007 | |
Published online | 26 May 2025 |
Optimization of extrudate swell during extrusion-based additive manufacturing process
1 Université de Technologie de Troyes, UR-GAMMA3, 12 rue Marie Curie, 10004 Troyes, France
2 Université de Franche-Comté, Institut FEMTO-ST, 1 rue Claude Goudimel, 25000 Besançon, France
a) Corresponding author: abel.cherouat@utt.fr
b) thierry.barriere@univ-fcomte.fr
c) hong.wang@utt.fr
Die swell is the expansion of the extrudate diameter upon exiting the die, resulting from the polymer melt or ink undergoes high shear stress due to the pressure-driven flow, viscoelastic relaxation phenomenon and the molecular chains stretching and oriented in the flow direction. Die swell affects dimensional accuracy and interlayer bonding and it's crucial to understood and controlled for high-precision manufacturing. It can be affected by multiple factors including material properties and processing parameters that can be coupled and it is difficult to fully understand their effects. To minimize or control extrudate swell it is necessary to identify the optimal combination of process parameters using Orthogonal Arrays. In this study, Orthogonal Experimental Design is used to optimize extrudate swell during extrusion-based additive manufacturing MEX of biodegradable polylactic acid material. It allows to systematically investigate the influence of multiple process parameters and their interactions on the swell ratio, using a minimal number of experiments. Simulating swell during extrusion with COMSOL Multiphysics requires combining computational fluid dynamics and Level Set method with rheological modeling of the extruded material. The results and analyses of the numerical simulation were used to predict and optimize the extrudate swelling in the MEX process.
© 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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