Evidence map›Paper›PMID 37834581›Full record

ArticleMaterials (Basel, Switzerland)2023

Modeling of Eyld2000-2d Anisotropic Yield Criterion Considering Strength Differential Effect and Analysis of Optimal Calibration Strategy.

Kai Du, Li Dong, Hao Zhang, Zhenkai Mu, Hongrui Dong, Haibo Wang, Yanqiang Ren, Liang Sun, Liang Zhang, Xiaoguang Yuan

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. 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. Article
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.

Kai DuSchool of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.
Li DongSchool of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.
Hao ZhangSchool of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.
Zhenkai MuHebei Key Laboratory of Material Near-Net Forming Technology, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Hongrui DongSchool of Materials Science and Engineering, Beihang University, Beijing 100191, China.
Haibo WangSchool of Mechanical and Materials Engineering, North China University of Technology, Beijing 100144, China.
Yanqiang RenSchool of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.
Liang SunSchool of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.
Liang ZhangSchool of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.
Xiaoguang YuanSchool of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sheet metals usually experience various loading paths such as uniaxial tension, uniaxial compression, biaxial tension, and simple shear during the forming process. However, the existing constitutive models cannot always accurately describe blanks' anisotropic yield and plastic flow behavior of blanks under all typical stress states. Given this, this paper improves the Eyld2000-2d yield criterion by introducing hydrostatic pressure to the A-Eyld2000-2d yield criterion that can describe the strength differential effect of materials. Meanwhile, to control the curvature of the yield surface more effectively, the near-plane strain yield stresses were added in the parameter identification process to calibrate the exponent

Indexed as

evolving plastic behaviorplastic anisotropysheet metalstrength differential effectyield criterion

Identifiers

PMID37834581
PMCPMC10573253

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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.