Evidence map›Paper›PMID 41828127›Full record

ArticleMaterials (Basel, Switzerland)2026

Evaluation of Residual Stress in Metal Surface-Strengthened Layers Based on Specimen Deformation After Stripping Partial Substrate.

Dejun Li, Yuchi Lei, Jiangzhuo Ren, Xuewen Liu, Fengzhang Ren

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. 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
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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

5 authors.

Dejun LiState Key Laboratory of Oil and Gas Equipment, CNPC Tubular Goods Research Institute, Xi'an 710077, China.
Yuchi LeiKey Laboratory of Road Construction Technology and Equipment of MOE, Chang'an University, Xi'an 710064, China.
Jiangzhuo RenKey Laboratory of Road Construction Technology and Equipment of MOE, Chang'an University, Xi'an 710064, China.ORCID 0000-0001-5543-3418
Xuewen LiuNinth Oil Production Plant, Changqing Oilfield Branch Co., Yinchuan 750000, China.
Fengzhang RenSchool of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471003, China.ORCID 0000-0002-7983-423X

Funding

CNPC Basic Research and Strategic Reserve Technology Fund Project 2023DQ03-21Natural Science Basic Research Program of Shaanxi 2024JC-YBQN-0438Oil & Gas Major Project 2025ZD1402000Shaanxi Province Qin Chuangyuan Program Innovative and Entrepreneurial Talents Project QCYRCXM-2022-352
6 · The paper itself

Abstract

The present work aims to develop a deformation-based method for measuring the residual stress of the strengthened layer. The proposed method determines both the average residual stress in the strengthened layer and the layer's thickness from the change in surface curvature after partial substrate removal. In order to examine the feasibility of the proposed method, the residual stress in the surface-strengthened layers and the layers' thickness of 45 and 16Mn steel specimens subjected to shot-peening are measured using the proposed method and the widely recognized X-ray-electrochemical corrosion stripping method (X-/ECSM). The maximum differences in the residual stress and the thickness between the two methods for the two specimens are 19.7% and 17.6%, respectively. The results of two methods still show acceptable agreement, supporting the feasibility of the proposed method. The newly proposed method offers simpler specimen preparation, better machining accuracy control, and a more streamlined procedure compared to classical methods. However, it is inherently destructive, cannot determine residual stress distribution, and is unsuitable for specimens with complex geometries.

Indexed as

measuringmetalsresidual stressstrippingsubstratesurface strengthening

Identifiers

PMID41828127
PMCPMC12985427

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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.