Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networks
In this work, an intelligent approach is applied for the first time in the modelling and optimization of electrospun Polyacrylonitrile/Poly(Vinylidene Fluoride) (PAN/PVdF) nanofiber properties. A genetic algorithm-based computer code was developed to optimize the architecture of an artificial neural...
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| Format: | Article |
| Language: | English |
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Budapest University of Technology and Economics
2020-11-01
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| Series: | eXPRESS Polymer Letters |
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| Online Access: | http://www.expresspolymlett.com/letolt.php?file=EPL-0010337&mi=cd |
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| author | M. M. Salehi F. Hakkak S. M. Sadati Tilebon M. Ataeefard M. Rafizadeh |
| author_facet | M. M. Salehi F. Hakkak S. M. Sadati Tilebon M. Ataeefard M. Rafizadeh |
| author_sort | M. M. Salehi |
| collection | DOAJ |
| description | In this work, an intelligent approach is applied for the first time in the modelling and optimization of electrospun Polyacrylonitrile/Poly(Vinylidene Fluoride) (PAN/PVdF) nanofiber properties. A genetic algorithm-based computer code was developed to optimize the architecture of an artificial neural network, by which an accurate model was developed for the prediction of nanofiber diameter, the standard deviation of nanofiber diameter and porosity of electrospun membrane. Electrospinning of polyacrylonitrile/poly(vinylidene fluoride) (PAN/PVdF) was applied to obtain a quantitative relationship between selected electrospinning parameters (namely applied voltage, solution concentration, and PVdF composition) and nanofiber diameter, the standard deviation of nanofiber diameter and porosity of electrospun membrane. The morphology and nanofiber diameter were investigated by field emission scanning electron microscopy (FESM). The range of produced nanofiber diameters was from 116 to 379 nm. It seemed that the nanofiber diameter and standard deviation of nanofiber diameter decrease with PVdF composition and increase with solution concentration. The applied voltage had no important effect on the nanofiber diameters. The porosity of the electrospun membrane decreases with solution concentration and increases with PVdF composition. |
| format | Article |
| id | doaj-art-d8fb3596725345b8a23bc9e083cd2390 |
| institution | DOAJ |
| issn | 1788-618X |
| language | English |
| publishDate | 2020-11-01 |
| publisher | Budapest University of Technology and Economics |
| record_format | Article |
| series | eXPRESS Polymer Letters |
| spelling | doaj-art-d8fb3596725345b8a23bc9e083cd23902025-08-20T03:18:11ZengBudapest University of Technology and EconomicseXPRESS Polymer Letters1788-618X2020-11-0114111003101710.3144/expresspolymlett.2020.82Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networksM. M. SalehiF. HakkakS. M. Sadati TilebonM. AtaeefardM. RafizadehIn this work, an intelligent approach is applied for the first time in the modelling and optimization of electrospun Polyacrylonitrile/Poly(Vinylidene Fluoride) (PAN/PVdF) nanofiber properties. A genetic algorithm-based computer code was developed to optimize the architecture of an artificial neural network, by which an accurate model was developed for the prediction of nanofiber diameter, the standard deviation of nanofiber diameter and porosity of electrospun membrane. Electrospinning of polyacrylonitrile/poly(vinylidene fluoride) (PAN/PVdF) was applied to obtain a quantitative relationship between selected electrospinning parameters (namely applied voltage, solution concentration, and PVdF composition) and nanofiber diameter, the standard deviation of nanofiber diameter and porosity of electrospun membrane. The morphology and nanofiber diameter were investigated by field emission scanning electron microscopy (FESM). The range of produced nanofiber diameters was from 116 to 379 nm. It seemed that the nanofiber diameter and standard deviation of nanofiber diameter decrease with PVdF composition and increase with solution concentration. The applied voltage had no important effect on the nanofiber diameters. The porosity of the electrospun membrane decreases with solution concentration and increases with PVdF composition.http://www.expresspolymlett.com/letolt.php?file=EPL-0010337&mi=cdpolymer compositesartificial intelligenceelectrospinninggenetic algorithm-based computer codenanofiber diameter |
| spellingShingle | M. M. Salehi F. Hakkak S. M. Sadati Tilebon M. Ataeefard M. Rafizadeh Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networks eXPRESS Polymer Letters polymer composites artificial intelligence electrospinning genetic algorithm-based computer code nanofiber diameter |
| title | Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networks |
| title_full | Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networks |
| title_fullStr | Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networks |
| title_full_unstemmed | Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networks |
| title_short | Intelligently optimized electrospun polyacrylonitrile/poly(vinylidene fluoride) nanofiber: Using artificial neural networks |
| title_sort | intelligently optimized electrospun polyacrylonitrile poly vinylidene fluoride nanofiber using artificial neural networks |
| topic | polymer composites artificial intelligence electrospinning genetic algorithm-based computer code nanofiber diameter |
| url | http://www.expresspolymlett.com/letolt.php?file=EPL-0010337&mi=cd |
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