Journal
TEXTILE RESEARCH JOURNAL
Volume 92, Issue 7-8, Pages 1262-1275Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/00405175211056381
Keywords
Woven fabrics; compression; finite element; multi-scale; Quick-Intelligent Handle Evaluation System
Categories
Funding
- Natural Science Foundation Project of Shanghai science and technology innovation action plan [20ZR1400200]
- Fundamental Research Funds for the Central Universities [2232021G-06]
- National Natural Science Foundation of China Project [52173218]
- Fujian Provincial Key Laboratory of Textiles Inspection Technology (Fujian Fiber Inspection Center) of China [2020-MXJ-01]
- Open Project Program of Key Lab for Sport Shoes Upper Materials of Fujian Province, Fujian Huafeng New Material Co., Ltd [SSUM212]
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By establishing a multi-scale FE model to understand the compression mechanism of woven fabrics, the study found that fabric parameters significantly impact the compression behavior, and the FE model proved to be sufficient to simulate the compression response of the fabric.
A multi-scale finite element (FE) model including a macro-scale instrument and fabric composed of meso-scale yarns is established so as to deeply understand the compression mechanism of woven fabrics based on the Quick-Intelligent Handle Evaluation System. The compression stress and strain of the fabric and its internal warp and weft yarns are revealed in the FE analysis, and a parameter study involving the friction coefficient, Young's modulus, yarn spacing and crimp height is addressed to understand the fabric deformation. The results show that fabric parameters have a significant impact on the compression behavior, indicating that the compression performance of the fabric is limited by the nonlinear mechanical and geometric properties of the yarn. Moreover, by comparing the FE modeling and experimental testing, the FE model proved to be sufficient to simulate the compression response of the fabric, so as to predict the compression property based on actual or preset material properties.
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