Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning

This paper proposes an optimization paradigm for structure design of curved-tube nozzle based on genetic algorithm. First, the mathematical model is established to reveal the functional relationship between outlet power and the nozzle structure parameters. Second, genetic algorithms transform the op...

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Autores principales:	Wenhui Li, Kang Liu, Qinghua Guo, Zhiming Zhang, Qiaoling Ji, Zijun Wu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	genetic algorithms optimization rotating spinning curved-tube nozzle nanofibers Biotechnology TP248.13-248.65
Acceso en línea:	https://doaj.org/article/34c6eef5e9bf412ba41054f46a65b88b
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spelling	oai:doaj.org-article:34c6eef5e9bf412ba41054f46a65b88b2021-12-03T07:20:43ZGenetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning2296-418510.3389/fbioe.2021.781614https://doaj.org/article/34c6eef5e9bf412ba41054f46a65b88b2021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fbioe.2021.781614/fullhttps://doaj.org/toc/2296-4185This paper proposes an optimization paradigm for structure design of curved-tube nozzle based on genetic algorithm. First, the mathematical model is established to reveal the functional relationship between outlet power and the nozzle structure parameters. Second, genetic algorithms transform the optimization process of curved-tube nozzle into natural evolution and selection. It is found that curved-tube nozzle with bending angle of 10.8°, nozzle diameter of 0.5 mm, and curvature radius of 8 mm yields maximum outlet power. Finally, we compare the optimal result with simulations and experiments of the rotating spinning. It is found that optimized curved-tube nozzle can improve flow field distribution and reduce the jet instability, which is critical to obtain high-quality nanofibers.Wenhui LiKang LiuQinghua GuoZhiming ZhangQiaoling JiZijun WuFrontiers Media S.A.articlegenetic algorithmsoptimizationrotating spinningcurved-tube nozzlenanofibersBiotechnologyTP248.13-248.65ENFrontiers in Bioengineering and Biotechnology, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	genetic algorithms optimization rotating spinning curved-tube nozzle nanofibers Biotechnology TP248.13-248.65
spellingShingle	genetic algorithms optimization rotating spinning curved-tube nozzle nanofibers Biotechnology TP248.13-248.65 Wenhui Li Kang Liu Qinghua Guo Zhiming Zhang Qiaoling Ji Zijun Wu Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning
description	This paper proposes an optimization paradigm for structure design of curved-tube nozzle based on genetic algorithm. First, the mathematical model is established to reveal the functional relationship between outlet power and the nozzle structure parameters. Second, genetic algorithms transform the optimization process of curved-tube nozzle into natural evolution and selection. It is found that curved-tube nozzle with bending angle of 10.8°, nozzle diameter of 0.5 mm, and curvature radius of 8 mm yields maximum outlet power. Finally, we compare the optimal result with simulations and experiments of the rotating spinning. It is found that optimized curved-tube nozzle can improve flow field distribution and reduce the jet instability, which is critical to obtain high-quality nanofibers.
format	article
author	Wenhui Li Kang Liu Qinghua Guo Zhiming Zhang Qiaoling Ji Zijun Wu
author_facet	Wenhui Li Kang Liu Qinghua Guo Zhiming Zhang Qiaoling Ji Zijun Wu
author_sort	Wenhui Li
title	Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning
title_short	Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning
title_full	Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning
title_fullStr	Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning
title_full_unstemmed	Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning
title_sort	genetic algorithm-based optimization of curved-tube nozzle parameters for rotating spinning
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/34c6eef5e9bf412ba41054f46a65b88b
work_keys_str_mv	AT wenhuili geneticalgorithmbasedoptimizationofcurvedtubenozzleparametersforrotatingspinning AT kangliu geneticalgorithmbasedoptimizationofcurvedtubenozzleparametersforrotatingspinning AT qinghuaguo geneticalgorithmbasedoptimizationofcurvedtubenozzleparametersforrotatingspinning AT zhimingzhang geneticalgorithmbasedoptimizationofcurvedtubenozzleparametersforrotatingspinning AT qiaolingji geneticalgorithmbasedoptimizationofcurvedtubenozzleparametersforrotatingspinning AT zijunwu geneticalgorithmbasedoptimizationofcurvedtubenozzleparametersforrotatingspinning
_version_	1718373802305388544

Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning

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