织物的悬垂性能与其结构参数关系的探讨

本次试验通过对毛织物的结构参数进行分析,研究织物的悬垂性性能与其结构参数之间的关系,运用SPSS统计分析软件对织物的结构参数和服用性能指标的相关性作了回归分析,建立织物服用性能与结构参数之间的数学模型。结果表明：影响织物悬垂性能的结构参数依次是纱线线密度、厚度、紧度及面密度。织物悬垂性能与其结构参数的关系可用y=35．087＋0．336x表示。其中y为悬垂系数,x为纱线线密度。可见纱线线密度对织物的悬垂性起了主要的作用：     

色织衬衣面料的悬垂性能研究

研究色织衬衣面料悬垂性能的影响因素。以33种代表性的色织衬衣面料为对象,测试并评价了面料的悬垂性能,探讨了织物悬垂性能与弯曲、剪切性能之间的关系,分析了织物各结构参数对织物悬垂性能的影响,建立了织物结构参数与静态悬垂系数的关系方程。结果表明:织物弯曲刚度和剪切刚度越大,织物越刚硬,其静态悬垂系数也越大,悬垂性能越差;随着织物交织点、织物紧度、厚度、织物单位面积质量的增加,织物悬垂性能变差。认为:织物的悬垂性能与其弯曲、剪切性能具有显著相关性,从结构参数上看,织物的悬垂性能主要取决于织物组织、总紧度和单位面积质量。     

织物弯曲、折皱和悬垂性能的比较研究

织物的弯曲、折皱和悬垂性能都与织物的结构参数等因素有关，通过对选用的棉、毛、丝和化纤织物进行测试分析，结果表明，织物的弯曲、折皱和悬垂性能三者之间存在着密切的关系，并随织物品种有所不同。     

薄型精纺毛织物悬垂性与结构参数的关系

对多种不同规格的薄型精纺毛织物的悬垂性能进行测试，采用Origin7．0软件分析了织物的悬垂性能与织物结构参数之间的关系，结果表明织物的厚度、原料、紧度和纱线的捻度对薄型精纺毛织物的悬垂性能均有不同程度的影响。     

影响真丝织物悬垂性及耐磨性因素的分析

通过对6种真丝织物的基本结构参数及悬垂系数和磨损量的测试,应用灰色关联分析方法对织物基本结构参数与悬垂性、耐磨性能之间的关系进行定性和定量的分析.实验结果表明:真丝织物的平方米重、纬密、经纱纤度、厚度、纬纱纤度、经密对悬垂性能的影响依次减小,而对耐磨性能的影响大小依次是纬密、纬纱纤度、经纱纤度、平方米重、经密、厚度.     

结构参数及后整理方式对棉织物悬垂性的影响

探讨结构参数和后整理方式对棉织物悬垂性的影响。对8种不同结构参数的平纹棉织物分别进行柔软整理、免烫整理、液氨柔软整理、液氨免烫整理、液氨潮交联整理,然后利用PhabrOmeter织物风格仪测试各织物的悬垂系数,借助灰色关联分析和相关性分析,分析了不同后整理棉织物的结构参数与悬垂系数的关系。结果显示:对于此类棉织物,单位面积质量和厚度与悬垂系数的线性关系显著;相同结构参数下,液氨潮交联整理棉织物悬垂性较好。认为:结构参数及后整理方式对织物悬垂性有显著影响。     

BP神经网络预测棉织物悬垂性能

采用BP神经网络技术建立和训练反应织物结构参数与织物悬垂性能之间关系的三层神经网络模型，对比预测值和实验值，表明用神经网络方法预测棉织物悬垂性能有相当的准确性。     

用支持向量机预测织物的悬垂性能

提出织物悬垂性预测的一种新方法 -支持向量机 ,用它表达了织物悬垂性与织物结构参数之间复杂的非线性关系 ,并建立了相应的预测模型。     

织物悬垂形态的模拟仿真

为利用织物结构、力学性能参数来预测织物悬垂形态,提出利用织物悬垂性能指标对织物悬垂形态进行仿真重建的方法,建立起织物结构、力学性能参数与织物悬垂性能指标的关系。从悬垂程度和悬垂形态2个方面,提出了10个表征织物悬垂性能的指标,利用这些悬垂性能指标及MatLab语言,对织物悬垂形态进行了三维仿真重建,获得了直观的视觉仿真效果,为预测织物悬垂形态的研究提供了一种新方法。     

基于Autodesk Maya的虚拟织物悬垂性影响因数分析

在Autodesk Maya环境下找出对虚拟织物悬垂性有显著影响的6个动力学参数,对不同参数设置的多组虚拟织物进行了悬垂性测试,并通过相关性和线性回归分析,求解出了虚拟织物悬垂性与动力学参数之间的回归方程,以及主要动力学参数对悬垂系数的影响。     

Enhancing accuracy of drape simulation. Part I: Investigation of drape variability via 3D scanning

The objective of this two part paper is to present a method of enhancing accuracy of fabric drape simulation using commercially available software. In Part I, we report results of an investigation of drape variability for a set of fabrics having varied mechanical properties, an essential step in defining accuracy for drape simulation. Results illustrate that fabric drape behaviour is highly variable and thus provide no single drape configuration to target with simulation. Development of a revolutionary method for capturing drape of actual fabrics and measuring that drape in a virtual three-dimensional (3D) environment is also presented. The method allows identical drape measurement processes to be implemented for actual and simulated fabrics and provides opportunity for use of additional measures to assess fabric drape in three dimensions. The accomplishments presented in this paper are utilized to demonstrate, in Part II, development of a relationship that enhances realism of particle model simulations generated using the commercial drape simulation software.     

涤纶织物性能指标与悬垂形态关系

为利用织物力学性能指标对织物悬垂性能进行预测,通过实验得到织物力学性能指标和基本结构参数,借助多元线性回归分析,得到悬垂性能的系列预测方程,并通过计算机模拟对结果进行验证.结果表明,织物悬垂形态与织物力学性能指标和结构参数密切相关,尤其是织物45.方向的剪切刚度、交织阻力、厚度、纬向密度等指标对织物悬垂形态的影响较大,...     

缝制条件下织物的弯曲和悬垂性能

本文首先调查分析不同类型缝份部位整体弯曲性能的变化,然后着重研究在不同接缝位置、不同缝型和不同缝份宽度条件下有缝织物的悬垂性能变化及其原因。结果显示：缝份部位的抗弯长度和抗弯刚度与原织物相比有明显增加;有缝织物的悬垂系数、平均半径、硬挺系数等指标均大于无缝织物;一般缝份宽度增加,悬垂系数有稍微增大趋势;接缝的位置对悬垂性的影响与织物经纬向性能有关;抗弯长度大的缝型一般比抗弯长度小的缝型对悬垂系数影响大;试样边缘缝份会导致圆周方向的抗弯性能提高,从而使悬垂系数增加。该研究将对缝制后面料及服装造型评价及模拟具有一定的实践指导意义。     

The Characterisation of the Static and Dynamic Drape of Fabrics

This paper discusses and establishes the static and dynamic drape of fabrics as an aesthetic property. A new algorithm is introduced, which defines more precisely the drapability of a given fabric. Experimental results show that it is more accurate to describe the different types of fabric-drape performance by using a feature vector, and this is found to be in good agreement with subjective assessment. A computer-based vision system, the Static- and Dynamic-drape-measurement System (M³), was developed and made possible the application of the new algorithm to actual fabric measurement. The results show agreement between aesthetic judgement and subjective assessment, and consequently fabric drape is standardised into four drape grades, ranging from high to low. The M³ is able to relate fabric drape with mechanical properties, simulating intelligence or expert knowledge when property change is needed for achieving a required drape performance.     

Drape simulation of woven fabrics using a mass-spring system

Abstract

In this paper, a mass-spring system is used to predict the draping behavior of woven fabrics. The material properties important to fabric draping are measured from the Kawabata system and the experimental data are incorporated into the simulation to calculate internal forces, based on which the draping behavior of particular types of woven fabrics is dynamically demonstrated. The hysteresis behavior in mechanical tests of a certain fabric is displayed virtually by calculating the internal restoration forces of the system. To evaluate the validity of the method, both the virtual drape measurement and the real drape measurement are performed to compare the same drape attributes derived from the two measurements. The simulation results and the experimental data are in good agreement.     

ZYF-3型织物悬垂三维测试仪的研制

介绍ZYF-3型织物悬垂三维测试仪测试原理及其结构设计,仪器为光机电一体化结构,采用环形结构光法测量原理,由抛物镜面和光栅生成环形结构光,CCD摄像头获取织物表面形成的明暗相间等高线条纹,测试软件实现等高条纹及织物边缘的识别并完成数据处理,不仅可得到表征织物悬垂性能的各项评价指标,且可实现织物悬垂三维形态的仿真重建,为织物悬垂性能的测试评定及深入研究提供了一种新方法。     

基于三维悬垂模型和织物面密度的织物匹配

为能够根据织物的悬垂形态快速准确地匹配到与给定织物综合性能相近的织物样本,利用自主搭建的悬垂织物三维扫描装置获取了悬垂织物的三维点云数据。将三维点云封装为三角形网络后,利用局部线性嵌入的方法对悬垂织物三角形网格重采样,使不同的悬垂织物三维模型具有相同的顶点数目和三角形拓扑结构;然后基于重采样三角形网格提出了2种织物匹配方法,即基于传统悬垂指标和织物面密度的织物匹配以及基于曲率统计直方图和织物面密度的织物匹配;最后计算了织物力学特征的相似度,以此相似度为基准对织物匹配结果进行评价。结果表明:基于悬垂指标和织物面密度的织物匹配准确率为86.91%;基于曲率统计直方图和织物面密度的织物匹配准确率为93.79%。     

Prediction of fabric drape using the FAST system

In this study, we investigated the relationship between the fabric drape coefficient from the drape meter and mechanical properties tested on the fabric assurance by simple testing system (FAST). Different kinds of woven fabrics with two kinds of weave (plain and twill) were tested. Three regression models are proposed for each type of weave and for all fabrics using the multiple linear regressions. The regression results were analyzed in terms of correlation coefficients, T and p-values. A neural model is proposed using the neural networks and it is compared to the regression one.