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.

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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
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article

Mechanism and quantification of melt pool morphology evolution in single-track fabrication by laser directed energy deposition

Hongze Wang, Xiao Shang, Chenwei Shao, Edward Jan et al.
1 citations
Journal of Manufacturing Processes
Additive Manufacturing Materials and Processes
0.71
article

Mechanism and quantification of melt pool morphology evolution in single-track fabrication by laser directed energy deposition

Hongze Wang, Xiao Shang, Chenwei Shao, Edward Jan, Qianglong Wei, Ajay Talbot, Brandon Liu, Shiv N. Khanna, Tianyi Lyu, Jiahui Zhang, Yu Zou
article en
1 citations

Abstract

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.

Journal of Manufacturing ProcessesVol. 156
Shanghai Jiao Tong University (CN), University of Toronto (CA)
Openalex Percentile: Top 25%
Additive Manufacturing Materials and Processes
0.71
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