基于非均匀特性的长丝纱拉伸断裂模型及强度预测  

Tensile Progress Modeling and Strength Prediction of Filament Yarns Based on Non-Even Properties of the Components

作　　者：姜展[1,2] 史书真[1] 陈国华[1] 

机构地区：[1]青岛大学纺织服装学院,山东青岛266071 [2]东华大学纺织学院,上海200051

出　　处：《青岛大学学报（工程技术版）》2013年第3期52-59,共8页Journal of Qingdao University(Engineering & Technology Edition)

基　　金：山东省自然科学基金资助项目(ZR2011EMM011)

摘　　要：针对纤维的随机性特征,本文基于长丝纱组分强力的离散性,建立了长丝纱断裂过程的纵向应力分布的几何模型;同时,根据长丝纱的结构特点,建立了长丝纱的断裂过程模型和强度预测模型,并对模型进行模拟和强力预测分析,分析结果表明,平均应力分配法则中,单丝的断裂顺序比较随机,没有产生明显的应力集中现象,所以得到的强力值较大;局部应力分配法则预测得到的长丝纱强力值偏小,而平均应力分配法则得到的强力与测量值较为接近,但用这2个方法得到的预测强力都随着捻度的增加而增加,且速率由快至缓,在高捻区域,随着捻度的增加长丝纱的局部应力分配法则有望接近实测值,这2种应力分布法则所预测的结果都符合二参数Weibull分布。该研究为将来短纤维纱的性能预测奠定了理论基础。In connection with the stochastic nature of the fiber, this paper starts with the dispersibility of the components in filament yarns. Geometrical model of stress redistribution along axial and in the cross section of filament yarns is established. Simultaneously, filament yarn fracture process model is set up based on the structural characteristics of the filament yarn. Results of the simulation of the model and the power prediction show that single yarn breaking random order in equal-load-sharing role, produced no significant stress concentration, so it has good strength; the local-load-sharing role predicted that filament yarn strength value is too small, while the average stress distribution law of the strong and the measured value is closer. However, prediction strength obtained by these two methods increases with the increase of the twist rate from fast to slow. But in the area of high-twist, with the increase in filament yarn twist the local stress distribution law is expected to be close to the measured value, and all predicted values are well fitted with two-parameter Weibull distribution by both sharing roles. The study laid a theoretical foundation for the future performance of the spun yarn forecast.

关 键 词：非均匀特性 长丝纱 模型 强度 

分 类 号：TS104.7[轻工技术与工程—纺织工程]