Machine learning based on finite element method to predict engineering constants of weft plain knitted composites

Authors

Yang Liu (ORCID: https://orcid.org/0000-0003-0990-4084)
Xungai Wang (ORCID: https://orcid.org/0000-0002-3549-6769)
Haipeng Ren
Jiale Liu (ORCID: https://orcid.org/0009-0007-5881-3118)

Publication Details

Journal: Composite Structures
Published: 2025-04-09
DOI: https://doi.org/10.1016/j.compstruct.2025.119194
Citations: 4
Primary Topic: Textile materials and evaluations
Type: article
Field-Weighted Citation Impact: 2.43

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Machine learning based on finite element method to predict engineering constants of weft plain knitted composites

Yang Liu, Xungai Wang, Haipeng Ren, Jiale Liu

Apr 9, 2025

4 citations

Composite Structures

Textile materials and evaluations

2.43

article

Machine learning based on finite element method to predict engineering constants of weft plain knitted composites

Yang Liu, Xungai Wang, Haipeng Ren, Jiale Liu

April 9, 2025article en

4 citations

Abstract

No abstract available for this paper.

Composite StructuresVol. 365

Openalex Percentile: Top 12%

Textile materials and evaluations

2.43

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Machine learning based on finite element method to predict engineering constants of weft plain knitted composites — Yang Liu, Xungai Wang, et al. · Composite Structures (2025) | TGRS Research Map | TGRS