Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (07): 137-143.doi: 10.13475/j.fzxb.20200803007

• Dyeing and Finishing & Chemicals • Previous Articles     Next Articles

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 Online:2021-07-15 Published:2021-07-22
  • Contact: YANG Pengcheng E-mail:yangpengcheng@xpu.edu.cn

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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

CLC Number: 

  • TH16

Fig.1

Schematic diagram of droplet image acquisition"

Fig.2

Canny edge detection flowchart"

Fig.3

Schematic diagram of droplet area calculation"

Fig.4

Schematic diagram of droplet falling speed calculation"

Fig.5

Schematic diagram of droplet detection system"

Fig.6

Result of droplet detection by background difference method. (a)Background image; (b)Target area image; (c)Threshold segmentation image"

Fig.7

Droplet edge detection result graph"

Fig.8

Droplet drop diagram. (a) Droplet leaving nozzle; (b)Droplet reaching fabric surface"

Fig.9

Speed change of droplet falling process"

Fig.10

Schematic diagram of pixel size and actual size conversion"

Fig.11

Change of area during droplet falling"

Fig.12

Diagram of change in diameter of droplet during its fall"

Fig.13

Change of roundness during droplet falling"

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