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koha001133658 |
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20240419174043.0 |
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240417|2023 enk s a eng d |
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7 |
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|a 10.1007/s00521-023-08708-5
|2 doi
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|a koha001133658
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|a RU-ToGU
|b rus
|c RU-ToGU
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|a An intelligence parameter classification approach for energy storage and natural convection and heat transfer of nano-encapsulated phase change material: Deep neural networks
|c M. Ghalambaz, M. Edalatifar, S. M. Maryamnegar, M. A. Sheremet
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|a Текст
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|a электронный
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|a Библиогр.: 36 назв.
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|a A deep neural network is utilized to classify the parameters of a natural convection heat transfer of a nano-encapsulated phase change material suspension using the isotherm images for the first time. A natural convection flow and heat transfer simulation dataset were created and used as a training and validation tool. Then, a deep neural network, consisting of three parts, was used for the classification task. The first part was made of several conventional layers, and a rectified linear unit activation layer supported each layer. The second part was a preparation layer for reshaping from 2D images to 1D classification. The third layer was made of a classifier layer. The results showed that the impact of the Rayleigh number and volume concentrations of nanoparticles could be classified by 99.8 and 93.32% accuracy, respectively. However, the Stefan number was classified weakly. As a part of the current research, a transfer learning approach was used to improve accuracy. The learning transfer approach was quite effective and improved the accuracy of the Stefan number classification by 16.6%.
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|a теплопередача
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| 653 |
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|a естественная конвекция
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| 653 |
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|a инкапсулированные суспензии
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| 653 |
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|a материалы с фазовым переходом
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| 653 |
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|a глубокие нейронные сети
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| 655 |
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4 |
|a статьи в журналах
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1 |
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|a Ghalambaz, Mohammad
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| 700 |
1 |
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|a Edalatifar, Mohammad
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| 700 |
1 |
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|a Maryamnegar, Sara Moradi
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| 700 |
1 |
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|a Sheremet, Mikhail A.
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| 773 |
0 |
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|t Neural computing and applications
|d 2023
|g Vol. 35, № 27. P. 19719-19727
|x 0941-0643
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| 852 |
4 |
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|a RU-ToGU
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| 856 |
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|u http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001133658
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|a статья
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|c 1133658
|d 1133658
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