Acoustic emission monitoring reveals keyhole formation and evolution

We present results from airborne acoustic emission (AE) monitoring during the Laser Powder Bed Fusion (LPBF) process. A distinct acoustic signature was consistently observed alongside keyhole formation and plume instability, with its frequency inversely proportional to the depth of the melt pool. The effects of laser scanning speed, laser power, material (Ti-6Al-4V, S316L, Inconel625), and laser spot size on AE signals were systematically investigated. A resurgence of high-frequency components for deep melt pools was found to coincide with the onset of keyhole-induced porosity. This acoustic signature is attributed to fluctuations at the liquid-vapor interface, which drive oscillations in the vaporization plume. Multi-track experiments further demonstrated the potential of AE monitoring for real-time fault detection and closed-loop process control in LPBF.

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Journal
Scientific Reports
Published
2025-12-05
DOI
https://doi.org/10.1038/s41598-025-27232-1
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

Acoustic emission monitoring reveals keyhole formation and evolution

Manabu Enoki, Fabien Briffod, Takayuki Shiraiwa, Makoto Watanabe et al.
Scientific Reports
Additive Manufacturing Materials and Processes
article

Acoustic emission monitoring reveals keyhole formation and evolution

Manabu Enoki, Fabien Briffod, Takayuki Shiraiwa, Makoto Watanabe, Hiroshige Masuo, Kaita Ito, Louis Galiègue
article en

Abstract

We present results from airborne acoustic emission (AE) monitoring during the Laser Powder Bed Fusion (LPBF) process. A distinct acoustic signature was consistently observed alongside keyhole formation and plume instability, with its frequency inversely proportional to the depth of the melt pool. The effects of laser scanning speed, laser power, material (Ti-6Al-4V, S316L, Inconel625), and laser spot size on AE signals were systematically investigated. A resurgence of high-frequency components for deep melt pools was found to coincide with the onset of keyhole-induced porosity. This acoustic signature is attributed to fluctuations at the liquid-vapor interface, which drive oscillations in the vaporization plume. Multi-track experiments further demonstrated the potential of AE monitoring for real-time fault detection and closed-loop process control in LPBF.

Scientific ReportsVol. 15(1)
Tokyo University of Technology (JP), National Institute for Materials Science (JP), Daido Metal (Japan) (JP), The University of Tokyo (JP)
Ministry of Education, Culture, Sports, Science and Technology, Council for Science, Technology and Innovation, Japan Society for the Promotion of Science
Openalex Percentile: Top 60%
Additive Manufacturing Materials and Processes
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