| Issue |
EPJ Web Conf.
Volume 340, 2025
Powders & Grains 2025 – 10th International Conference on Micromechanics on Granular Media
|
|
|---|---|---|
| Article Number | 12005 | |
| Number of page(s) | 4 | |
| Section | Emerging Topics: Additive Manufacturing & Meta Materials, Microgravity, Tribo-Charging, Active Particles, and Artificial Intelligence & Machine Learning | |
| DOI | https://doi.org/10.1051/epjconf/202534012005 | |
| Published online | 01 December 2025 | |
https://doi.org/10.1051/epjconf/202534012005
Modelling laser beam absorption for powder-based sintering
Multi-Scale Mechanics, ET, TFE, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 1 December 2025
Abstract
Additive manufacturing techniques like selective laser sintering face challenges such as residual stresses and warping. Understanding laser-powder interaction is crucial to addressing these issues. This pa-per presents a computational model to simulate laser energy propagation and absorption in a particle bed during early sintering stages. A ray tracing model, developed in MATLAB®, simulates light propagation through 2D and 3D particle beds. The 2D model is used to identify several numerical parameters for the 3D model, which is applied to a particle doublet. Its results are then used for mechanical sintering simulations in MercuryDPM. These model predictions are compared to experimental data on the sintering of polystyrene particles. The model is extended to a full 3D particle bed used to derive equations which can efficiently estimate absorbed energy per particle based on material, geometric, and laser parameters. A semi-random walk is also introduced, simulating light propagation stochastically while significantly reducing computation time. This stochastic approach yields energy distributions in the particle bed comparable to ray tracing but is 1000 times faster. Lastly, equations are derived that replace the simulations, further reducing the compu-tation time by a factor of 70, making them suitable for transient sintering simulations.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

