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The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm

Force-spinning is a popular way to fabricate various fine fibers such as polymer and metal nanofibers, which are being widely employed in medical and industrial manufacture. The spinneret is the key of the device for spinning fibers, and the physical performance and morphology of the spun nanofibers...

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Autores principales: Liu, Kang, Li, Wenhui, Ye, Peiyan, Zhang, Zhiming, Ji, Qiaoling, Wu, Zijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714732/
https://www.ncbi.nlm.nih.gov/pubmed/34976994
http://dx.doi.org/10.3389/fbioe.2021.807287
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author Liu, Kang
Li, Wenhui
Ye, Peiyan
Zhang, Zhiming
Ji, Qiaoling
Wu, Zijun
author_facet Liu, Kang
Li, Wenhui
Ye, Peiyan
Zhang, Zhiming
Ji, Qiaoling
Wu, Zijun
author_sort Liu, Kang
collection PubMed
description Force-spinning is a popular way to fabricate various fine fibers such as polymer and metal nanofibers, which are being widely employed in medical and industrial manufacture. The spinneret is the key of the device for spinning fibers, and the physical performance and morphology of the spun nanofibers are largely determined by its structure parameters. In this article, the effect of spinneret parameters on the outlet velocity is explored and the spinneret parameters are also optimized to obtain the maximum outlet velocity. The mathematical model of the solution flow in four areas is established at first, and the relationship between outlet velocity and structure parameters is acquired. This model can directly reflect the flow velocity of the solution in each area. Then, the optimal parameters of outlet diameter, bending angle, and curvature radius are obtained combined with the gray wolf algorithm (GWA). It is found that a curved-tube nozzle with a bending angle of 9.1°, nozzle diameter of 0.6 mm, and curvature radius of 10 mm can obtain the maximum outlet velocity and better velocity distribution. Subsequently, the simulation is utilized to analyze and compare the velocity situation of different parameters. Finally, the fiber of 5 wt% PEO solution is manufactured by a straight-tube nozzle and optimized bent-tube nozzle in the laboratory, and the morphology and diameter distribution were observed using a scanning electron microscope (SEM). The results showed that the outlet velocity was dramatically improved after the bent-tube parameters were optimized by GWA, and nanofibers of better surface quality could be obtained using optimized bent-tube nozzles.
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spelling pubmed-87147322021-12-30 The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm Liu, Kang Li, Wenhui Ye, Peiyan Zhang, Zhiming Ji, Qiaoling Wu, Zijun Front Bioeng Biotechnol Bioengineering and Biotechnology Force-spinning is a popular way to fabricate various fine fibers such as polymer and metal nanofibers, which are being widely employed in medical and industrial manufacture. The spinneret is the key of the device for spinning fibers, and the physical performance and morphology of the spun nanofibers are largely determined by its structure parameters. In this article, the effect of spinneret parameters on the outlet velocity is explored and the spinneret parameters are also optimized to obtain the maximum outlet velocity. The mathematical model of the solution flow in four areas is established at first, and the relationship between outlet velocity and structure parameters is acquired. This model can directly reflect the flow velocity of the solution in each area. Then, the optimal parameters of outlet diameter, bending angle, and curvature radius are obtained combined with the gray wolf algorithm (GWA). It is found that a curved-tube nozzle with a bending angle of 9.1°, nozzle diameter of 0.6 mm, and curvature radius of 10 mm can obtain the maximum outlet velocity and better velocity distribution. Subsequently, the simulation is utilized to analyze and compare the velocity situation of different parameters. Finally, the fiber of 5 wt% PEO solution is manufactured by a straight-tube nozzle and optimized bent-tube nozzle in the laboratory, and the morphology and diameter distribution were observed using a scanning electron microscope (SEM). The results showed that the outlet velocity was dramatically improved after the bent-tube parameters were optimized by GWA, and nanofibers of better surface quality could be obtained using optimized bent-tube nozzles. Frontiers Media S.A. 2021-12-15 /pmc/articles/PMC8714732/ /pubmed/34976994 http://dx.doi.org/10.3389/fbioe.2021.807287 Text en Copyright © 2021 Liu, Li, Ye, Zhang, Ji and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Liu, Kang
Li, Wenhui
Ye, Peiyan
Zhang, Zhiming
Ji, Qiaoling
Wu, Zijun
The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm
title The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm
title_full The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm
title_fullStr The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm
title_full_unstemmed The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm
title_short The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm
title_sort bent-tube nozzle optimization of force-spinning with the gray wolf algorithm
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714732/
https://www.ncbi.nlm.nih.gov/pubmed/34976994
http://dx.doi.org/10.3389/fbioe.2021.807287
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