Mechanism and quantification of melt pool morphology evolution in single-track fabrication by laser directed energy deposition
By enabling the fabrication of complex, customized geometries, laser directed energy deposition (LDED) has emerged as a powerful technique for producing thin-wall structures widely employed in the aerospace sector. Achieving high-dimensional accuracy and geometric uniformity in these structures relies on optimizing the quality of single-layer melt tracks, which is governed by the evolution of the melt pool during deposition. Key processing parameters, including laser power ( P ), scan speed ( v ), and powder feeding rate ( f ), directly affect the static geometry and dynamic fluctuations of the melt pool. In this study, we develop a computational fluid dynamics-based simulation to investigate the longitudinal evolution of melt pool morphology during the formation of SS316L single tracks, focusing on laser activation, steady-state, and deactivation stages. The melt pool expands and tilts during laser activation due to thermal imbalance, exhibits surface fluctuations in a flat → bulge → wave pattern during the steady state, and contracts centripetally as solidification progresses during deactivation. An in situ high-speed infrared imaging system is integrated into the LDED setup for real-time monitoring of the melt pool. High-throughput experiments spanning 360 P - v - f combinations are conducted and automatically analyzed to quantify static features and dynamic fluctuations of the melt pool. Based on these results, a quality metric for melt tracks is proposed to identify optimal processing windows, which are experimentally verified through the fabrication of thin-wall samples with improved dimensional fidelity and geometric uniformity. The findings of this work provide critical insights into melt pool dynamics and offer a systematic approach for the optimization of processing parameters in LDED.
Authors
- Hongze Wang (ORCID: https://orcid.org/0000-0002-8484-1805)
- Xiao Shang (ORCID: https://orcid.org/0009-0007-0888-5746)
- Chenwei Shao (ORCID: https://orcid.org/0000-0001-7647-7719)
- Edward Jan
- Qianglong Wei
- Ajay Talbot
- Brandon Liu
- Shiv N. Khanna (ORCID: https://orcid.org/0000-0002-9797-1289)
- Tianyi Lyu
- Jiahui Zhang (ORCID: https://orcid.org/0009-0008-4087-8674)
- Yu Zou (ORCID: https://orcid.org/0000-0002-4413-1139)
Institutions
- Shanghai Jiao Tong University (CN)
- University of Toronto (CA)
Publication Details
- Journal
- Journal of Manufacturing Processes
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1016/j.jmapro.2025.10.097
- Citations
- 1
- Primary Topic
- Additive Manufacturing Materials and Processes
- Type
- article
- Field-Weighted Citation Impact
- 0.71