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Journal of Biomaterials Applications
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Article

The Mathematical Model for Evaluating Fatigue Resistance of SG Tubular Fabric: Relationship between Textile Parameters and Fatigue Performance

Huijing Zhao1, Lu Wang1*, Yuling Li1, Xiaoyan Liu1, and Martin K King2

1 Key Lab of Textile Science and Technology, Ministry of Education College of Textiles, Donghua University, Shanghai, 201620
2 Key Lab of Textile Science and Technology, Ministry of Education College of Textiles, Donghua University, Shanghai, 201620,College of Textiles, North Carolina State University, Raleigh 27695, USA

* To whom correspondence should be addressed.


  Abstract

Fatigue testing for twelve SG tubular fabrics with various textile parameters was performed under pulsatile pressure by an Accelerated fatigue tester. Two time points as of 0, and 1 x 108 cycles were selected. The percentage change of tubular diameter, fabric count, porosity, and water permeability before and after the fatigue testing were used to characterize the fatigue performance. Bursting work was used to indicate fatigue. The mathematical model of quantification theory I was used to analyze the influence of various textile parameters on the fatigue performance of SG tubular fabric. It was found that with the increase of fatigue time, bursting work decreased, and the predicting results by quantification theory I for the fatigue resistance were relatively accurate and the contribution ratio of each textile parameter to the fatigue performance was also obtained. Different textile parameter has different contribution ratio if different parameters were used to characterize the fatigue performance. Woven construction had more influence than yarn size on the =-0.2pt>fatigue performance, and yarn type had the least influence on it. Woven construction, yarn size, and yarn type had interactive influence on the fatigue performance. This can provide theoretical foundation for making better fatigue resistant SG tubular fabrics.

Key Words: quantification theory I, predict, SG tubular fabric, fatigue, textile parameter.

First published on December 12, 2008
Journal of Biomaterials Applications 2008, doi:10.1177/0885328208099437
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