From Math to Physics: Electrospinning Parameters Optimization (Nanofibers Diameter Control Approach using MATLAB Multivariate Optimization)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F23%3A00011185" target="_blank" >RIV/46747885:24620/23:00011185 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mine.p.lodz.pl/MINE_2023_Abstract_Book.pdf" target="_blank" >https://www.mine.p.lodz.pl/MINE_2023_Abstract_Book.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

From Math to Physics: Electrospinning Parameters Optimization (Nanofibers Diameter Control Approach using MATLAB Multivariate Optimization)

Popis výsledku v původním jazyce

Nanofibers are one-dimensional (1D) polymeric nanostructures with a high aspect ratio and surface area. Compared to other fibrous structures, nanofibers have a diameter of less than 1 µm, and their porosity can be tuned, making nanofibers promising in many applications such as filtration, sensing, medicine, textiles, and energy storage. Optimization of electrospinning has been an active area of research in recent years. Researchers have used various optimization techniques, such as genetic algorithms and artificial neural networks, to optimize the electrospinning process parameters. These techniques have successfully found the optimal combination of electrospinning parameters, which results in the production of high-quality nanofibers with desired properties. This study aims to optimize the electrospinning governing equations (experimental/empirical or theoretical equations). Hence, a multivariate approach using MATLAB was used to optimize the diameter of the nanofiber; the diameter function was minimized to find the optimum electrospinning arameters that would produce the finest possible nanofibers.

Název v anglickém jazyce

From Math to Physics: Electrospinning Parameters Optimization (Nanofibers Diameter Control Approach using MATLAB Multivariate Optimization)

Popis výsledku anglicky

Nanofibers are one-dimensional (1D) polymeric nanostructures with a high aspect ratio and surface area. Compared to other fibrous structures, nanofibers have a diameter of less than 1 µm, and their porosity can be tuned, making nanofibers promising in many applications such as filtration, sensing, medicine, textiles, and energy storage. Optimization of electrospinning has been an active area of research in recent years. Researchers have used various optimization techniques, such as genetic algorithms and artificial neural networks, to optimize the electrospinning process parameters. These techniques have successfully found the optimal combination of electrospinning parameters, which results in the production of high-quality nanofibers with desired properties. This study aims to optimize the electrospinning governing equations (experimental/empirical or theoretical equations). Hence, a multivariate approach using MATLAB was used to optimize the diameter of the nanofiber; the diameter function was minimized to find the optimum electrospinning arameters that would produce the finest possible nanofibers.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

21100 - Other engineering and technologies

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů