纺织学报 ›› 2025, Vol. 46 ›› Issue (02): 86-91.doi: 10.13475/j.fzxb.20240904401

• 纺织工程 • 上一篇    下一篇

基于双斜交平面镜的纱线条干三维仿真

马运娇, 王蕾(), 潘如如   

  1. 江南大学 纺织科学与工程学院, 江苏 无锡 214122
  • 收稿日期:2024-09-24 修回日期:2024-10-22 出版日期:2025-02-15 发布日期:2025-03-04
  • 通讯作者: 王蕾(1987—),女,副研究员,博士。主要研究方向为数字化纺织技术。E-mail: wangl_jn@163.com
  • 作者简介:马运娇(1997—),女,博士生。主要研究方向为数字化纺织技术。
    第一联系人:

    说 明:本文入选中国纺织工程学会第25届陈维稷论文卓越行动计划

  • 基金资助:
    国家自然科学基金项目(61802152);江苏省自然科学基金项目(BK20180602);中国纺织工业联合会应用基础研究计划项目(J202109);中国纺织工业联合会应用基础研究计划项目(J202006);江南大学研究生科研与实践创新项目(KYCX-23-ZD01);江南大学研究生科研与实践创新项目(KYCX-23-ZD02)

Three-dimensional simulation of yarn core based on two planer mirrors

MA Yunjiao, WANG Lei(), PAN Ruru   

  1. College of Textile Science and Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
  • Received:2024-09-24 Revised:2024-10-22 Published:2025-02-15 Online:2025-03-04

摘要:

针对传统纱线三维模型仿真方法精度不高、纱线条干均匀度二维测量方法无法全面表征纱线立体结构的问题,基于双斜交平面镜成像原理,以纱线的多视角图像绘制圆形并将其拟合为纱线条干横截面,堆叠所有横截面,重构纱线条干三维模型,并从二维、三维层面分析所提方法的有效性和可靠性。结果表明:所提方法能够精确构建纱线条干三维模型并全方位展示纱线条干情况;在二维层面,纱线条干三维模型横截面平均面积与USTER®TESTER 5所测纱线直径的相关系数为0.996,横截面面积变异系数与USTER TESTER 5所测条干均匀度变异系数的相关系数为0.834,这表明所提方法能够较为准确地反映纱线条干的特性;在三维层面,纱线条干横截面面积变异系数与现有纱线外观三维测量方法的条干均匀度相关系数为0.965,进一步验证了所提方法在纱线条干三维模型仿真上的有效性,并探索了其在纱线外观三维测量上应用的可能性。

关键词: 纱线条干, 条干均匀度, 图像处理, 三维仿真, 三维测量

Abstract:

Objective Market demand for textiles is ever-increasingly diversified, and the performance of yarns, as an early product in textile production, impact final product quality. It is feasible to simulate the performance and structure of yarns under different materials and processes, which can be used to guide the flexible production of textiles. This endeavor is crucial as it helps optimize the production process, reduce costs, and improve the quality and consistency of textile products, thereby enhancing the competitiveness of the textile industry.

Method Based on the imaging principle of two-planar mirrors, this research proposed a three-dimensional simulation method for yarn cores. The yarn's real image and four virtual images from mirror reflection were captured as multi-perspective images, which represent the five views of yarn. After applying the Otsu thresholding, morphological opening and dilation methods, the smooth yarn core binary images were acquired. Next, five circles were drawn with the widths of yarn core in five perspective images as diameters, respectively. Then, according to the geometric principle of mirror reflection, the circles obtained from each perspective were moved to fit the yarn core cross-section.

Results To verify the effectiveness and accuracy of the proposed method, the cross-sectional area and the coefficient of variation of the reconstructed yarn model were calculated. Given the widespread use of the USTER® TESTER 5 in yarn appearance evaluation, we decided to compare the measured values obtained from our method with its measurement results. This comparison serves as a means to evaluate the accuracy of the proposed method’s modeling at the two-dimensional. In addition, the measured values were also compared with three-dimensional measurement method to evaluate the effectiveness of the proposed method at the three-dimensional level. At the two-dimensional level comparison, the measured values of the proposed method were compared with the USTER®TESTER 5 measuement results. The cross-sectional area of the reconstructed three-dimensional model of yarn was measured. The results showed that the correlation coefficient between the average cross-sectional area of the reconstructed yarn model and the diameter measured by the USTER®TESTER 5 was as high as 0.996, and the correlation coefficient between the coefficient of variation of cross-sectional area and the coefficient of variation of the uniformity of the yarn measured by the USTER®TESTER 5 was 0.834. At the three-dimensional level comparison, the results were compared with the three-dimensional measurement method instead. The correlation coefficient between the measured values of the proposed method and the three-dimensional measurement method was 0.965, which indicates the positive correlation of the measured values. In addition, the uniformity of short segments can be observed from the change in area. By using the proposed method, the task of simulating the three-dimensional model of yarn cpuld be fulfilled, and the synthesized three-dimensional model was close to the irregular shape of a cylinder, which could effectively reflect the unevenness of yarn. This fully demonstrated the feasibility of the reconstruction method for the three-dimensional model of yarn core.

Conclusion This paper presents a method for constructing a three-dimensional model of yarn based on the assumption of irregular circular cross-section of yarn. The obtained results demonstrate a high correlation with the USTER®TESTER 5 at the two-dimensional level and a positive correlation with another three-dimensional method at the three-dimensional level, thereby clearly indicating the effectiveness of the proposed method. In addition, the simulated yarn model enables the observation of structural characteristics from different angles, allowing for acquisition of more detailed information and thus presenting excellent application prospects. However, a major drawback of this method is relatively slow for reconstruction, which needs to be furthrt improved. Such a method has significant implications for the textile industry, as it provides a more accurate and detailed way to analyze and understand the properties of yarns, which can ultimately lead to improved product quality and performance.

Key words: yarn core, yarn evenness, image processing, three-dimensional simulation, three-dimensional measurement

中图分类号: 

  • TS101.9

图1

图像采集系统几何关系示意图"

图2

处理前后纱线图像"

图3

关键点选择示意图"

表1

实验材料规格参数"

样品编号 原料 线密度/tex 理论直径/mm 纺纱方法
纱线1 9.7 0.115 集聚纺
纱线2 11.7 0.127 集聚纺
纱线3 14.6 0.141 集聚纺
纱线4 18.2 0.158 集聚纺

图4

重构后的纱线条干横截面面积变化曲线"

表2

CV值比较"

样品编号 USTER®TESTER 5 文献[13]方法 本文方法
纱线1 11.30 11.92 12.32
纱线2 12.09 14.22 16.67
纱线3 11.41 12.61 12.89
纱线4 15.36 16.24 17.95

图5

纱线条干三维模型"

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