Evidence map›Paper›PMID 38473604›Full record

ArticleMaterials (Basel, Switzerland)2024

Study on Fatigue Life of Aluminum Alloy 6061-T6 Based on Random Defect Characteristics.

Lei Lu, Hao Chen, Mingming Ren, Sha Xu, Yongfang Li, Tianjun Zhou, Yali Yang

Open access · goldAbstract 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.2field-weighted citation impact, top 15% of its field
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, 8 citations in OpenAlex.

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

7 authors at 1 institution in 1 country.

Lei LuSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Hao ChenSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID 0000-0002-9036-4937
Mingming RenSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Sha XuSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Yongfang LiSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Tianjun ZhouSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Yali YangSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Shanghai University of Engineering Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A certain number of hole-like defects will occur in aluminum alloys under cyclic loading. The internal holes will reduce the strength of the material and cause stress concentration, which will aggravate the development of fatigue damage. A classification method of defect features based on X-ray CT damage data is proposed. The random hole distribution model is established through the linear congruence method and the region division method. The hole parameter is introduced as the intermediate variable of the 3D reconstruction model of internal defects. In the mesoscopic stage, the function relationship between the distribution of random holes and the fatigue life is established based on the coupling relationship between the number and proportion of pores and the fatigue life. In the macroscopic stage, the relationship between the random holes and the macroscopic crack growth life is established by taking the crack length as the damage variable. The crack propagation rate decreased with the increase in the number of holes. The prediction model of the whole life stage is established using the life function from microcrack initiation to macroscopic crack propagation. Finally, the validity of the whole stage fatigue life prediction model is demonstrated through the comparison and verification of experiments, which provides a certain engineering value for the life estimation of 6061-T6 aluminum alloy materials.

Indexed as

6061-T6 aluminum alloyCT scanningfatigue life predictionfinite element simulationrandom hole

Identifiers

PMID38473604
PMCPMC10933914
OpenAlexW4392294872

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.