现代纺织技术2025，Vol.33Issue(7)：65-73,9.DOI:10.12477∕j.att.202410046
不同转速下机织物动态悬垂行为分析
Analysis of dynamic drape behavior of woven fabrics at different rotational speeds
摘要
Abstract
Amidst the rapid advancement of digital fashion and artificial intelligence technologies,the contemporary apparel and textile industry is accelerating its digital transformation.The aesthetic appeal and authenticity of virtual clothing hinge on the simulation effects of virtual fabrics,which necessitates fabric simulation in digital apparel design to be grounded in a more realistic physical world.Once fabrics are transformed into garments,they are subjected to a variety of dynamic environments during actual wear rather than constant speed conditions.Therefore,this paper conducts an in-depth study of the dynamic drape performance and its characteristics by analyzing changes in fabric drape behavior under different dynamic conditions.It explores the influencing factors of fabric dynamic drape performance and the variation patterns of fabric drape coefficients at different rotational speeds,providing useful reference for research and applications in fabric dynamic simulation. This paper selected 32 fabrics with different static drape performances and weights,and measured their dynamic drape coefficients at a total of 15 different rotational speeds ranging from 10 to 150 r/min(with increments of 10 r/min).These data revealed how the dynamic drape shape of the fabrics changed as the rotational speed increased.The mechanical properties of the fabric samples under low stress environment were measured using the KESFB-AUTO-A.The correlation between fabric mechanical properties and dynamic drape coefficients was analyzed for different dynamic environments.Building on this foundation,to further analyze the dynamic drape behavior of fabrics,the K-means clustering algorithm was applied to classify the collected data.Meanwhile,to more intuitively observe and analyze the trend of fabric dynamic drape coefficients as the rotational speed changed,the sample data closest to the cluster center in each cluster was selected as a representative.The least squares method was then applied to perform curve fitting on the original scatter plot data.To capture the nonlinear relationships within the data,a polynomial function was used as the fitting model,and the order of the polynomial was adjusted to achieve the best fitting effect.The order of the polynomial was determined based on the criterion of a goodness of fit(R2)greater than 0.9,ensuring that the fitted curve accurately reflected the data trend. The study found that the bending,tensile,and shear properties of fabrics affect the dynamic drape performance to varying degrees.Among these,the influence of bending properties is the most significant,followed by tensile properties,and shear properties having a relatively weak influence.During the experiments,fabrics were ultimately classified into four categories based on their basic parameters and hand feel using a clustering algorithm:heavy and soft ones(Cluster 1),light and soft ones(Cluster 2),light and tight ones(Cluster 3),and heavy and tight ones(Cluster 4).According to the measurement data,the static drape coefficient of the fabrics,as well as the increment and increase amplitude of the dynamic drape coefficient after changes in speed,were identified as important indicators for classification.Meanwhile,based on the fitted curves and drape diagrams,it was observed that the wave numbers formed by the fabric due to gravity and bending characteristics would increase the dynamic drape coefficient.Furthermore,there exists a speed threshold for the dynamic drape performance of fabrics relative to their rotational speed.For light and soft fabrics,this threshold is 90 r/min,and for light and tight fabrics,it is 120 r/min.When the rotational speed is below this threshold,the fabric retained its shape more effectively;above this threshold,the shape is more prone to change.关键词
动态悬垂系数/转速/聚类分析/悬垂行为Key words
dynamic drape coefficient/rotational speed/cluster analysis/drape behavior分类
轻工纺织引用本文复制引用
潘怡婷,郭子翊,徐诗琦,林熹妍,邹奉元..不同转速下机织物动态悬垂行为分析[J].现代纺织技术,2025,33(7):65-73,9.基金项目
国家级大学生创新创业训练计划项目(202410338063) （202410338063）
浙江理工大学科研启动基金项目(23072078-Y) （23072078-Y）
