| Issue |
EPJ Web Conf.
Volume 344, 2025
AI-Integrated Physics, Technology, and Engineering Conference (AIPTEC 2025)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 8 | |
| Section | AI-Integrated Physics, Technology, and Engineering | |
| DOI | https://doi.org/10.1051/epjconf/202534401014 | |
| Published online | 22 December 2025 | |
https://doi.org/10.1051/epjconf/202534401014
Powder flow and deposition profile in directed energy deposition with discrete coaxial injection
1 Applied Mechanical Engineering, Faculty of Vocational Studies, Universitas Negeri Surabaya, Indonesia
2 Department of Mechanical Engineering, National Central University, Jhongli, Taiwan
3 Department of Mechanical and Electro-Mechanical Engineering, National Ilan University, Yilan, Taiwan
* Corresponding author: nugrohoaji@unesa.ac.id
Published online: 22 December 2025
This study explores the effects of powder injection angle and substrate inclination on powder flow characteristics and deposition profiles in Directed Energy Deposition (DED) using a discrete coaxial nozzle. A multiphase simulation based on the Euler-Lagrange method and Discrete Phase Modeling (DPM) was performed to evaluate particle trajectories, velocity, focal convergence, and deposition geometry across five injection angles (110°–135°) and four substrate inclinations (0°–60°). The results reveal that lower injection angles produce a more stable and focused powder stream, improving deposition quality and efficiency. In contrast, angles above 130° reduce focal precision due to increased divergence and particle collisions. Substrate inclinations greater than 40° shift the peak deposition point and reduce cladding uniformity, indicating sensitivity to geometric orientation. These findings contribute to precision control strategies for DED processes, particularly in complex remanufacturing tasks. As metal additive manufacturing expands in the aerospace industry, integrating artificial intelligence for real-time monitoring and adaptive control can enhance process reliability, reduce material waste, and enable autonomous repairs. The study demonstrates that careful tuning of injection parameters is essential to meet the high-performance demands of next-generation remanufacturing systems.
© 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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