Issue |
Matériaux & Techniques
Volume 112, Number 2, 2024
Special Issue on ‘Additive Manufacturing’, edited by Sami Chatti, Naoufel Ben Moussa, Yessine Ayed, Farhat Ghanem, Guénaël Germain and Wacef Ben Salem
|
|
---|---|---|
Article Number | 205 | |
Number of page(s) | 10 | |
Section | Additive and negative manufacturing | |
DOI | https://doi.org/10.1051/mattech/2023048 | |
Published online | 06 May 2024 |
Original Article
Numerical investigation of thermal loading on stainless steel during laser powder bed fusion
1
University of Tunis, ENSIT, Mechanical, Material and Processes Laboratory (LMMP) LR99ES05, 5 Avenue Taha Houssien, 1008, B.P 56, Tunis, Tunisia
2
University of Carthage, Preparatory Institute for Engineering Studies of Bizerte, 7021, Zarzouna, Tunisia
* Corresponding author: e-mail: houcem.ghilene@gmail.com
Received:
31
August
2023
Accepted:
13
December
2023
The objective of this study is to establish a simulation approach based on finite element modeling (FEM) of the process for obtaining parts by additive manufacturing (AM). This approach makes it possible to evaluate the influence of different parameters such as inter-track, scanning speed and laser power of the "Laser Powder Bed Fusion L-PBF" process on the thermal characteristics of AISI 316L stainless steel parts. A thermal analysis is carried out taking into account the sequence of material deposition and scanning of the laser beam similar to the actual process. The simulation result, validated experimentally, made it possible to predict the distribution of the temperatures at the inter-layers and inter-tracks and the morphology of the molten pool. These results allowed us to provide physical explanations of material discontinuities, degrading the mechanical behavior and often encountered in additive manufacturing. This allows the identification of a range of volumetric density of energy (VED) leading to better continuity of matter.
Key words: Additive manufacturing / L-PBF / simulation / thermal analysis / porosity / AISI 316L stainless steel
© SCF, 2024
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