Evidence map›Paper›PMID 39063776›Full record

ArticleMaterials (Basel, Switzerland)2024

Unraveling Residual Stress Distribution Characteristics of 6061-T6 Aluminum Alloy Induced by Laser Shock Peening.

Qian Wang, Yaqiong Ge, Jingjia Chen, Tosei Suzuki, Yoshihiro Sagisaka, Ninshu Ma

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Qian WangJoining and Welding Research Institute, Osaka University, Osaka 567-0047, Japan.
Yaqiong GeJoining and Welding Research Institute, Osaka University, Osaka 567-0047, Japan.
Jingjia ChenJoining and Welding Research Institute, Osaka University, Osaka 567-0047, Japan.
Tosei SuzukiJoining and Welding Research Institute, Osaka University, Osaka 567-0047, Japan.
Yoshihiro SagisakaHamamatsu Technical Support Center, Industrial Research Institute of Shizuoka Prefecture, Shizuoka 431-2103, Japan.
Ninshu MaJoining and Welding Research Institute, Osaka University, Osaka 567-0047, Japan.

Funding

Amada Foundation AF-2022034-C2Japan Society for the Promotion of Science 23K13577
6 · The paper itself

Abstract

Laser shock peening (LSP) is a powerful technique for improving the fatigue performance of metallic components by customizing compressive residual stresses in the desired near-surface regions. In this study, the residual stress distribution characteristics of 6061-T6 aluminum alloy induced by LSP were identified by the X-ray diffraction method, and their dependent factors (i.e., LSP coverage, LSP energy, and scanning path) were evaluated quantitatively by numerical simulations, exploring the formation mechanism of LSP residual stresses and the key role factor of the distribution characteristics. The results show that LSP is capable of creating anisotropic compressive residual stresses on the specimen surface without visible deformation. Compressive residual stresses are positively correlated with LSP coverage. The greater the coverage, the higher the residual stress, but the longer the scanning time required. Raising LSP energy contributes to compressive residual stresses, but excessive energy may lead to a reduction in the surface compressive residual stress. More importantly, the anisotropy of residual stresses was thoroughly explored, identifying the scanning path as the key to causing the anisotropy. The present work provides scientific guidance for efficiently tailoring LSP-induced compressive residual stresses to improve component fatigue life.

Indexed as

aluminum alloylaser shock peeningmodelingplasticityresidual stressscanning path

Identifiers

PMID39063776
PMCPMC11277776

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Registered trials

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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.