DocumentCode :
498824
Title :
Numerical simulation of knitted fabric material with multi-scale finite element method
Author :
Li, Cui-Yu ; Zhang, Xiao-Tao
Author_Institution :
Sch. of Textiles, Tianjin Polytech. Univ., Tianjin, China
Volume :
4
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
2123
Lastpage :
2126
Abstract :
Due to complexity of microstructure of knitted fabric, there is little related work reported in literatures. With the aid of the micromechanical model of knitted fabric which characterizes the special properties of knitted fabric, the draping and buckling of a square knitted fabric sheet putting on a circular desk are successfully simulated by multiscale finite element methods (MsFEM) and traditional finite element method. The knitted fabric sheet is discretized with 8-nodes shell elements, which are designed for finite deformation and suffice to describe the large rotation of knitted fabric sheet during draping. For the sake of simplicity, the nodes of the knitted fabric sheet on the edge of the desk are assumed to fix. The simulation results of MsFEM are compared with the experimental ones, and in good agreement with the observations. The result demonstrates that the advantages of the multiscale finite element method for numerical simulation of knitted fabric material, i.e. significantly reducing computational efforts, and improving the accuracy of the solutions.
Keywords :
buckling; fabrics; finite element analysis; woven composites; buckling; circular desk; draping; finite deformation; knitted fabric material; micromechanical model; microstructure complexity; multiscale finite element method; numerical simulation; Cybernetics; Fabrics; Finite element methods; Machine learning; Numerical simulation; Buckling; Draping; Knitted fabric; Multi-scale finite element method; Numerical simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212167
Filename :
5212167
Link To Document :
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