织物起毛起球机制的理论模型研究进展

doi:10.13475/j.fzxb.20190100107

纺织学报 ›› 2020, Vol. 41 ›› Issue (02): 172-178.doi: 10.13475/j.fzxb.20190100107

织物起毛起球机制的理论模型研究进展

肖琪¹^,²^,³, 王瑞¹^,³(), 孙红玉⁴, 方纾¹^,³, 李聃阳¹^,³

1.天津工业大学纺织科学与工程学院, 天津 300387
2.常熟理工学院, 江苏常熟 215500
3.天津工业大学先进纺织复合材料教育部重点实验室, 天津 300387
4.滨州华纺工程技术研究院有限公司, 山东滨州 256600

收稿日期:2019-01-02 修回日期:2019-11-22 出版日期:2020-02-15 发布日期:2020-02-21
通讯作者: 王瑞
作者简介:肖琪(1988—),女,博士生。主要研究方向为纺织品的结构与性能。

Research progress on theoretical models of mechanisms of fuzzing and pilling

XIAO Qi¹^,²^,³, WANG Rui¹^,³(), SUN Hongyu⁴, FANG Shu¹^,³, LI Danyang¹^,³

1. School of Textiles Science and Engineering, Tiangong University, Tianjin 300387, China
2. Changshu Institute of Technology, Changshu, Jiangsu 215500, China
3. Key Laboratory of Advanced Textile Composites, Ministry of Education, Tiangong University, Tianjin 300387, China
4. Binzhou Huafang Engineering Technology Research Institute Co., Ltd., Binzhou,Shandong 256600, China

Received:2019-01-02 Revised:2019-11-22 Online:2020-02-15 Published:2020-02-21
Contact: WANG Rui

摘要/Abstract

摘要：

针对织物起毛起球机制复杂的现状,归纳分析了化学反应动力学、机械动力学、人工神经网络、纤维形尺度等4类织物起毛起球机制理论模型的建模条件、理论基础和应用情况,预测了织物起毛起球机制研究的发展方向。分析发现:化学反应动力学模型需求解未知参数;机械动力学模型的精度较理想,但计算繁琐;人工神经网络模型需要大量训练样本加强泛化能力;纤维形尺度模型的实际应用能力强,但不能量化解释起毛起球机制。最后指出未来应在提高现有模型精度的同时,改进求解模型中的未知参数;应用分形数学、计算机仿真、有限元等新技术,从微观角度研究单根纤维在起毛起球过程中的几何非线性变形,建立新型的理论模型,同时提高其应用能力。

关键词: 织物, 起毛起球, 理论模型, 化学反应动力学, 机械动力学, 人工神经网络

Abstract:

Aiming at the understanding of fabric pilling mechanisms, modeling conditions, theoretical principles and applied ranges of 4 types of models, based on kinetics of chemical reaction, mechanical dynamics, artificial neural network, and fiber shape scale theory model, for fabric pilling mechanisms were reviewed and discussed, with a focus on the trend on research in fabric pilling mechanisms. It is realized that some unknown parameters will have to be solved in order to use the chemical reaction kinetic model, and that the mechanical dynamics model requires complicated calculation despite high precision. A large number of training samples are required to enhance the generalization ability when using the artificial neural network model, and the mechanism of pilling cannot be quantified in the fiber scale model though the practical application is feasible. In conclusion, the review suggested that the accuracy of models and methods of solving the unknown parameters should be improved in the future. Fractal mathematics, computer simulation, finite element and other techniques should be applied to the study of geometrical nonlinear deformation of single fibers in the pilling process from the microscopic perspective to facilitate a new theoretical model. At the same time, the practical application ability of the model should be improved.

Key words: fabric, fuzzing and pilling, theoretical model, kinetics of chemical reaction, mechanical dynamics, artificial nural network

中图分类号:

TS101.9

肖琪, 王瑞, 孙红玉, 方纾, 李聃阳. 织物起毛起球机制的理论模型研究进展[J]. 纺织学报, 2020, 41(02): 172-178.

XIAO Qi, WANG Rui, SUN Hongyu, FANG Shu, LI Danyang. Research progress on theoretical models of mechanisms of fuzzing and pilling[J]. Journal of Textile Research, 2020, 41(02): 172-178.

图/表 4

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图4

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织物起毛起球机制的理论模型研究进展

Research progress on theoretical models of mechanisms of fuzzing and pilling

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