Online Characterization of Internal Stress in Aluminum Alloys During Laser-Directed Energy Deposition

In laser-directed energy deposition (LDED) additive manufacturing, stress-induced deformation and cracking often occur unexpectedly, and, once initiated, they are difficult to remedy. To address this issue, we previously proposed the Dynamic Counter Method (DCM), which monitors internal stress based on deposition layer shrinkage, enabling real-time stress monitoring without damaging the component. To validate this method, we used AlSi10Mg material, which has a low melting point and high reflectivity, and developed a high-precision segmentation network based on DeeplabV3+ to test its ability to measure shrinkage in high-exposure images. Using a real-time reconstruction model, stress calculations were performed with DCM and thermal-mechanical coupling simulations, and the results were validated through XRD residual stress testing to confirm DCM's accuracy in calculating internal stress in aluminum alloys. The results show that the DeeplabV3+ segmentation network accurately extracted deposition-layer contours and shrinkage information. Furthermore, DCM and thermal-mechanical coupling simulations showed good consistency in residual stress distribution, with all results falling within the experimental error range. In terms of stress evolution trends, DCM was also effective in predicting stress variations. Based on these findings, two loading strategies were proposed, and, for the first time, DCM's application in online stress monitoring of large LDED components was validated, offering potential solutions for stress monitoring in large-scale assemblies.

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Publication Details

Journal
Sensors
Published
2025-04-19
DOI
https://doi.org/10.3390/s25082584
Citations
1
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.71

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article

Online Characterization of Internal Stress in Aluminum Alloys During Laser-Directed Energy Deposition

Rongqi Shen, Yi Yang, Bin Wu, Yi Lu et al.
1 citations
Sensors
Additive Manufacturing Materials and Processes
0.71
article

Online Characterization of Internal Stress in Aluminum Alloys During Laser-Directed Energy Deposition

Rongqi Shen, Yi Yang, Bin Wu, Yi Lu, Guifang Sun, Wenbo Li, Chen Wang, Yongkang Zhang, Di Jiang, Jian Dong
article en
1 citations

Abstract

In laser-directed energy deposition (LDED) additive manufacturing, stress-induced deformation and cracking often occur unexpectedly, and, once initiated, they are difficult to remedy. To address this issue, we previously proposed the Dynamic Counter Method (DCM), which monitors internal stress based on deposition layer shrinkage, enabling real-time stress monitoring without damaging the component. To validate this method, we used AlSi10Mg material, which has a low melting point and high reflectivity, and developed a high-precision segmentation network based on DeeplabV3+ to test its ability to measure shrinkage in high-exposure images. Using a real-time reconstruction model, stress calculations were performed with DCM and thermal-mechanical coupling simulations, and the results were validated through XRD residual stress testing to confirm DCM's accuracy in calculating internal stress in aluminum alloys. The results show that the DeeplabV3+ segmentation network accurately extracted deposition-layer contours and shrinkage information. Furthermore, DCM and thermal-mechanical coupling simulations showed good consistency in residual stress distribution, with all results falling within the experimental error range. In terms of stress evolution trends, DCM was also effective in predicting stress variations. Based on these findings, two loading strategies were proposed, and, for the first time, DCM's application in online stress monitoring of large LDED components was validated, offering potential solutions for stress monitoring in large-scale assemblies.

SensorsVol. 25(8)
Guangdong University of Technology (CN), Nanjing Forestry University (CN), Southeast University (CN)
Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 34%
Additive Manufacturing Materials and Processes
0.71
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