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Mathematical modeling of plain weft knitted structures.

机译:平纹纬编结构的数学建模。

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摘要

Developing an automatic feeding or sewing mechanism requires an understanding of the behavior of knitted fabrics under stress. A fabric which is fed via an automatic feeding mechanism or sewn rarely experiences symmetrical loading. To date, most knitted fabric structural analyses predict loop deformation under zero load or symmetrical loads.;S. de Jong and R. Postle, authors of "A General Energy Analysis of Fabric Mechanics Using Optimal Control Theory", used an energy analysis to determine the key deformational characteristics of symmetrically loaded knitted loops. This approach assumes that yarns in a knitted loop assume a shape such that their internal energy is minimized while maintaining the force/couple equilibrium.;A computer program was developed to reproduce S. de Jong's work. Algorithms were developed to reduce computer run-time and increase solution stability. The modified energy model (EM) is the basis for new models which are capable of analyzing the effects of non-symmetrical nonuniform loads on knitted loops.;A nonuniform loop deformation and a full fabric deformation model were developed by combining the modified energy model and the neural network algorithms. The combination of the EM and the neural networks produce hybrid models which are quicker, more stable, and practical. The nonuniform model is capable of analyzing a single loop in any in-plane loading configuration. The full fabric model is capable of analyzing a matrix of loops and loading conditions and then predicting the loop deformation of all the loops in the structure.;An experimental verification procedure was developed to determine the accuracy of model predictions. The experimental procedure involved: (1) characterization of yarn properties, (2) extraction of the center-line of a yarn in a knitted loop from a magnified image, and (3) a statistical comparison between the experimental and the theoretical center-line curves. This analysis showed a high level of accuracy for the prediction of nonuniform loop deformation (two interlocking loops of different shapes and sizes) with no external loads (R
机译:开发自动进给或缝纫机制需要了解针织物在压力下的行为。通过自动喂入机构喂入或缝制的织物很少会受到对称负载。迄今为止,大多数针织物结构分析都预测零载荷或对称载荷下的线圈变形。 de Jong和R. Postle是“使用最佳控制理论进行织物力学的一般能量分析”的作者,他使用能量分析来确定对称加载的针织线圈的关键变形特性。这种方法假定针织线圈中的纱线呈一定形状,以便在保持力/偶数平衡的同时将其内部能量最小化。开发了一个计算机程序来复制S. de Jong的工作。开发了减少计算机运行时间并提高解决方案稳定性的算法。改进的能量模型(EM)是新模型的基础,该模型能够分析非对称不均匀载荷对针织线圈的影响。神经网络算法。 EM和神经网络的结合产生了更快,更稳定和实用的混合模型。非均匀模型能够分析任何平面内加载配置中的单个回路。完整的织物模型能够分析回路和加载条件的矩阵,然后预测结构中所有回路的回路变形。;开发了一个实验验证程序来确定模型预测的准确性。实验步骤包括:(1)表征纱线性能,(2)从放大图像中提取针织线圈中纱线的中心线,以及(3)实验中心线与理论中心线之间的统计比较曲线。该分析表明,在无外部载荷(R的情况下)的非均匀环变形(两个互锁环的形状和尺寸不同)的预测中,准确性很高。

著录项

  • 作者

    Farrington, Carlos Enrique.;

  • 作者单位

    North Carolina State University.;

  • 授予单位 North Carolina State University.;
  • 学科 Textile Technology.;Engineering Mechanical.;Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1995
  • 页码 213 p.
  • 总页数 213
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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