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Precision control of polyurethane filament drafting and winding based on machine vision
Shilin Wu1,2, Huayu Yang2, Xiangyan Liu2
1Hubei Digital Textile Equipment Key Laboratory, Wuhan Textile University, Wuhan, Hubei, China.
Frontiers in Bioengineering and Biotechnology
|October 3, 2022
Summary
This study introduces a machine vision method to precisely control polyurethane filament production for artificial blood vessels, improving quality and efficiency by solving centrifugal runout issues during mold rotation.
Area of Science:
- Biomedical Engineering
- Materials Science
- Manufacturing Technology
Background:
- Polyurethane (PU) is extensively utilized in biomedical devices like artificial blood vessels.
- Centrifugal runout during mold rotation negatively impacts PU filament quality and preparation efficiency.
- Accurate control of filament diameter and winding is crucial for producing high-quality artificial blood vessels.
Purpose of the Study:
- To develop and validate a machine vision-based method for real-time control of drafting and winding accuracy in PU filament production.
- To address and mitigate the issue of centrifugal runout in the wet spinning of artificial blood vessels.
- To enhance the efficiency and quality of long artificial blood vessel preparation.
Main Methods:
- A machine vision system was employed for non-contact, real-time detection of filament diameter and its axis angle relative to the mold axis.
- Motion parameters of motors driving the moving platform and drafting roller were adjusted in real-time based on visual feedback.
- Experimental validation involved comparing machine vision measurements with manual measurements and analyzing the properties of the prepared PU tubes.
Main Results:
- The machine vision method achieved high accuracy, with an average diameter error of 0.0096mm and an average winding angle error of 0.4777°.
- Visual measurement results were comparable to manual measurements, confirming the feasibility of machine vision for quality control.
- Prepared PU tubes exhibited uniform winding, tight extrusion, and good adhesion, with a final filament diameter of approximately 0.87mm.
Conclusions:
- The proposed machine vision control method is accurate and feasible for real-time monitoring and adjustment of PU filament drafting and winding.
- This non-contact approach effectively solves the problem of centrifugal runout, leading to improved quality and efficiency in artificial blood vessel manufacturing.
- The developed method offers a reliable alternative to manual inspection, ensuring consistent production of high-performance biomedical PU materials.
