Evidence map›Paper›PMID 40285273›Full record

ArticleSensors (Basel, Switzerland)2025

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

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

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yi LuCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Jian DongCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Wenbo LiCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Chen WangCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Rongqi ShenCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0002-4785-0622
Di JiangCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Yang YiCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Bin WuCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Guifang SunSchool of Mechanical Engineering, Southeast University, Nanjing 211189, China.
Yongkang ZhangSchool of Electrical and Mechanical Engineering, Guangdong University of Technology, Waihuanxi Road 100, Guangzhou 510006, China.

Funding

Guangdong Basic and Applied Basic Research Foundation 2023A1515240015Natural Science Foundation of Jiangsu Higher Education Institutions of China 23KJB460022Natural Science Foundation of Jiangsu Province for Youths BK20210615Postgraduate Research &Practice Innovation Program of Jiangsu Province SJCX23_0323Shenzhen Science and Technology Program KJZD20231023100510020The General Program of Basic Science (Natural Science) Research Projects in Higher Education Institutions of Jiangsu Province 22KJB560024the Technical Field of the Basic Strengthening Plan of the Science and Technology of a Certain Commission of China 2022-JCJQ-JJ-0117
6 · The paper itself

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.

Indexed as

laser-directed energy depositionmachine visionnumerical simulationonline monitoringresidual stress

Identifiers

PMID40285273
PMCPMC12030998

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.