Multi-Scale Anisotropic Yield Function Based on Neural Network Model.

Hongchun Shang, Lanjie Niu, Zhongwang Tian, Chenyang Fan, Zhewei Zhang, Yanshan Lou

Abstract read

In one paragraph

Article in Materials (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

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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

6 authors.

Hongchun ShangScience and Technology on Electromechanical Dynamic Control Laboratory, Xi'an 710065, China.ORCID 0000-0001-7245-1837

Lanjie NiuScience and Technology on Electromechanical Dynamic Control Laboratory, Xi'an 710065, China.

Zhongwang TianScience and Technology on Electromechanical Dynamic Control Laboratory, Xi'an 710065, China.

Chenyang FanScience and Technology on Electromechanical Dynamic Control Laboratory, Xi'an 710065, China.

Zhewei ZhangMilitary Representative Bureau of Army Equipment Department in Xi'an, Xi'an 710065, China.

Yanshan LouSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710065, China.ORCID 0000-0002-9482-4814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasingly complex form of traditional anisotropic yield functions brings difficulties to parameter calibration and finite element application, and it is necessary to establish a unified paradigm model for engineering applications. In this study, four traditional models were used to calibrate the anisotropic behavior of a 2090-T3 aluminum alloy, and the corresponding yield surfaces in σxx,σyy,σxy and α,β,r spaces were studied. Then,

Indexed as

anisotropic yield functioncrystal plasticityfinite element analysismulti-scale modelingneural network

Identifiers

PMID39942379

DOI10.3390/ma18030714

PMCPMC11821069

What OpenQuestion holds

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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.