纺织学报 ›› 2021, Vol. 42 ›› Issue (07): 137-143.doi: 10.13475/j.fzxb.20200803007

• 染整与化学品 • 上一篇    下一篇

织物表面导电线路喷射打印中微滴关键参数的视觉测量

徐晋, 杨鹏程(), 肖渊, 胥光申   

  1. 西安工程大学 机电工程学院, 陕西 西安 710048
  • 收稿日期:2020-08-04 修回日期:2021-04-04 出版日期:2021-07-15 发布日期:2021-07-22
  • 通讯作者: 杨鹏程
  • 作者简介:徐晋(1997—),男,硕士生。主要研究方向为视觉检测。
  • 基金资助:
    国家自然科学基金项目(51475350);陕西省青年人才托举计划项目(20160124)

Visual measurement of key geometric parameters of droplet in circuit jet printing on fabric surface

XU Jin, YANG Pengcheng(), XIAO Yuan, XU Guangshen   

  1. School of Mechanical and Electrical Engineering, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
  • Received:2020-08-04 Revised:2021-04-04 Published:2021-07-15 Online:2021-07-22
  • Contact: YANG Pengcheng

RichHTML

6

PDF (PC)

114

摘要：

针对织物表面打印导电线路中微滴的几何尺寸、速度等参数测量过程自动化程度低的问题,将视觉测量与微滴喷射技术相结合。利用高速相机对微滴喷射过程进行拍摄得到连续微滴图像。基于像素的阈值选取方法对微滴图像进行分割,得到微滴的二值图像,采用阶梯型边缘检测算法提取液滴边缘轮廓,获得单个微滴的面积、直径参数,根据面积和直径的关系计算出单个微滴的圆度参数,根据2帧微滴图像间的位移量计算出微滴的瞬时速度。实验结果表明:采用视觉测量法测得到的结果精度可达像素级,整个测量过程耗时短,可实现实时测量,为后续织物表面导电线路的精确成形提供了必要监测手段。

关键词: 导电线路, 喷射打印, 视觉测量, 微滴检测, 图像采集, Canny边缘检测, 智能纺织品

Abstract:

This research was carried out targeting on the low degree of automation in the process of measuring the geometric size and speed of the droplets in the conductive circuit printed on the fabric surface by combing the technology of visual measurement and droplet injection. A high-speed camera was used to record the droplet ejection process capturing continuous droplet images. The pixel-based threshold selection method was used to segment the droplet images to obtain binary image of the droplets. The edge contour of the droplet was extracted by the step-edge detection algorithm, and the area and diameter parameters of a single droplet were obtained according to the relationship between the area and the diameter. The roundness parameter of a single droplet was measured, and the instantaneous velocity of the droplet was calculated based on the displacement between two frames of droplet images. The experimental results show that the accuracy of the measurement results obtained by the visual measurement method can reach the pixel level, the entire measurement process is not time-consuming, and real-time measurement is achievable, which would provide the necessary monitoring means for the subsequent precise formation of the circuit on the fabric surface.

Key words: conductive circuit, jet printing, visual measurement, droplet detection, image acquisition, Canny edge detection, smart textiles

中图分类号: 

  • TH16

图1

微滴图像采集示意图"

图2

Canny边缘检测流程图"

图3

微滴面积计算示意图"

图4

微滴下落速度计算示意图"

图5

微滴检测系统示意图"

图6

背景差法检测微滴结果图"

图7

微滴边缘检测结果图"

图8

微滴下落图"

图9

微滴下落过程的速度变化"

图10

像素尺寸和实际尺寸转换示意图"

图11

微滴下落过程中面积的变化"

图12

微滴下落过程中直径的变化"

图13

微滴下落过程中圆度的变化"

[1] 杨晨啸, 李鹂. 柔性智能纺织品与功能纤维的融合[J]. 纺织学报, 2018, 39(5):160-169.
YANG Chenxiao, LI Li. Integration of soft intelligent textile and functional fiber[J]. Journal of Textile Research, 2018, 39(5):160-169.
[2] EZGI Ismar, SENEM Kurşun Bahadir, FATMA Kalaoglu, et al. Futuristic clothes: electronic textiles and wearable technologies[J]. Global Challenges, 2020, 4(7):1900092.
doi: 10.1002/gch2.v4.7
[3] 肖渊, 蒋龙, 陈兰, 等. 织物表面导电线路成形方法的研究进展[J]. 纺织导报, 2015(8):92-95.
XIAO Yuan, JIANG Long, CHEN Lan, et al. Research progress on forming method of conductive circuits on fabric surface[J]. China Textile Leader, 2015(8):92-95.
[4] 刘赵淼, 徐元迪, 逄燕, 等. 压电式微滴按需喷射的过程控制和规律[J]. 力学学报, 2019, 51(4):1031-1042.
doi: 10.6052/0459-1879-19-035
LIU Zhaomiao, XU Yuandi, PANG Yan, et al. Study of process control on piezoelectric doro-on-demand ejection[J]. Chinese Journal of Theoretical and Applied Mechanics, 2019, 51(4):1031-1042.
[5] 刘欢欢. 斜纹织物表面微滴沉积过程数值模拟及试验研究[D]. 西安:西安工程大学, 2019:33-37.
LIU Huanhuan. Numerical simulation and experimental research of droplet deposition process on the twill fabric surface[D]. Xi'an:Xi'an Polytechnic University, 2019:33-37.
[6] 杨观, 齐乐华, 罗俊, 等. 均匀液滴喷射成形中微熔滴关键参数在线检测系统[J]. 仪器仪表学报, 2009, 30(3):590-595.
YANG Guan, QI Lehua, LUO Jun, et al. Key parameter measurement system for molten micro-droplet in uniform droplet spay forming[J]. Chinese Journal of Scientific Instrument, 2009, 30(3):590-595.
[7] NEELAMD, DUSHYANT K S, DHARMENDER S K. An approach for unattended object detection through contour formation using background subtraction[J]. Procedia Computer Science, 2020, 171:1979-1988.
doi: 10.1016/j.procs.2020.04.212
[8] 杜帅, 李岳阳, 王孟涛, 等. 基于改进局部自适应对比法的织物疵点检测[J]. 纺织学报, 2019, 40(2):38-44.
DU Shuai, LI Yueyang, WANG Mengtao, et al. Fabric defect detection based on improved local adaptive contrast method[J]. Journal of Textile Research, 2019, 40(2):38-44.
[9] XU Yiping, JI Hongbing, ZHANG Wenbo. Coarse-to-fine sample-based background subtraction for moving object detection[J]. Optik, 2020, 207:164195.
doi: 10.1016/j.ijleo.2020.164195
[10] THENMOZHI T, KALPANA A M. Adaptive motion estimation and sequential outline separation based moving object detection in video surveillance system[J]. Microprocessors and Microsystems, 2020, 76:103084.
doi: 10.1016/j.micpro.2020.103084
[11] HÉCTOR Lamphar. Spatio-temporal association of light pollution and urban sprawl using remote sensing imagery and GIS: a simple method based in Otsu's algorithm[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2020, 253:107060.
[12] WU Guohua, YANG Dongyue, CHANG Chen, et al. Optimizations of Canny edge detection in ghost imaging[J]. Journal of the Korean Physical Society, 2019, 75(3):223-228.
doi: 10.3938/jkps.75.223
[13] 胡克满, 罗少龙, 胡海燕. 应用Canny算子的织物疵点检测改进算法[J]. 纺织学报, 2019, 40(1):153-158.
HU Keman, LUO Shaolong, HU Haiyan. Improved algorithm for fabric defect detection based on Canny operator[J]. Journal of Textile Research, 2019, 40(1):153-158.
[14] 肖渊, 齐乐华, 罗俊, 等. 金属微滴形成过程图像采集及关键参数测量[J]. 机械科学与技术, 2012, 31(10):1564-1568.
XIAO Yuan, QI Lehua, LUO Jun, et al. Acquisition the image and measurement of key parameters in metal droplet forming process[J]. Mechanical Science and Technology for Aerospace Engineering, 2012, 31(10):1564-1568.
[1] 林文君, 缪旭红. 光导纤维在发光织物上的应用研究进展[J]. 纺织学报, 2021, 42(07): 169-174.
[2] 王航, 王冰心, 宁新, 曲丽君, 田明伟. 喷墨打印导电墨水及其智能电子纺织品研究进展[J]. 纺织学报, 2021, 42(06): 189-197.
[3] 梁家豪, 巫莹柱, 刘海东, 黄美林, 蔡瑞燕, 周俊俭, 谢权沛. 表层静电植入与贴伏石墨烯的湿敏聚氨酯纤维制备及其性能[J]. 纺织学报, 2021, 42(06): 63-70.
[4] 肖渊, 李红英, 李倩, 张威, 杨鹏程. 棉织物/聚二甲基硅氧烷复合介电层柔性压力传感器制备[J]. 纺织学报, 2021, 42(05): 79-83.
[5] 姜兆辉, 李永贵, 杨自涛, 郭增革, 张战旗, 齐元章, 金剑. 聚合物基石墨烯复合纤维及其纺织品研究进展[J]. 纺织学报, 2021, 42(03): 175-180.
[6] 马丽芸, 吴荣辉, 刘赛, 张玉泽, 汪军. 包缠复合纱摩擦纳米发电机的制备及其电学性能[J]. 纺织学报, 2021, 42(01): 53-58.
[7] 杨宇晨, 覃小红, 俞建勇. 静电纺纳米纤维功能性纱线的研究进展[J]. 纺织学报, 2021, 42(01): 1-9.
[8] 肖渊, 王盼, 张威, 张成坤. 织物表面导电线路喷射打印起始端凸起形成过程研究[J]. 纺织学报, 2020, 41(12): 81-86.
[9] 庞雅莉, 孟佳意, 李昕, 张群, 陈彦锟. 石墨烯纤维的湿法纺丝制备及其性能[J]. 纺织学报, 2020, 41(09): 1-7.
[10] 盛明非, 张丽平, 付少海. 基于染料掺杂型液晶微胶囊的电刺激响应智能纺织品的制备及其性能[J]. 纺织学报, 2020, 41(08): 63-68.
[11] 陈慧, 王玺, 丁辛, 李乔. 基于全织物传感网络的温敏服装设计[J]. 纺织学报, 2020, 41(03): 118-123.
[12] 吴荣辉, 马丽芸, 张一帆, 刘向阳, 于伟东. 银纳米线涂层的编链结构纱线拉伸应变传感器[J]. 纺织学报, 2019, 40(12): 45-49.
[13] 李思明, 吴官正, 胡雨洁, 方镁淇, 贺录祥, 贺燕, 肖学良. 压力分布监测袜的制备及其传感性能[J]. 纺织学报, 2019, 40(07): 138-144.
[14] 肖渊, 尹博, 李岚馨, 刘欢欢. 微滴喷射化学沉积工艺条件对成形银导线的影响[J]. 纺织学报, 2019, 40(05): 78-83.
[15] 曹机良, 徐李聪, 孟春丽, 李晓春. 紫外光固化石墨烯涂层棉织物的导电性能[J]. 纺织学报, 2019, 40(02): 135-140.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备14006648号　 京公网安备11010502044800号
版权所有 © 2021 《纺织学报》编辑部
地址： 北京市朝阳区延静里中街3号主楼6层《纺织学报》杂志社　邮政编码：100025　
电话：010-65017711,65917740　传真：010-65016539　Email:fangzhixuebao@vip.126.com
本系统由北京玛格泰克科技发展有限公司设计开发