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Alizadeh, As'ad, Jasim Mohammed, Khidhair, Fadhil Smaisim, Ghassan, Hadrawi, Salema K., Zekri, Hussein, Taheri Andani, Hamid, Nasajpour-Esfahani, Navid, Toghraie, Davood (2023) Evaluation of the effects of the presence of ZnO -TiO2 (50 %–50 %) on the thermal conductivity of Ethylene Glycol base fluid and its estimation using Artificial Neural Network for industrial and commercial applications. Journal of Saudi Chemical Society, 27 (2) 101613 doi:10.1016/j.jscs.2023.101613

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Reference TypeJournal (article/letter/editorial)
TitleEvaluation of the effects of the presence of ZnO -TiO2 (50 %–50 %) on the thermal conductivity of Ethylene Glycol base fluid and its estimation using Artificial Neural Network for industrial and commercial applications
JournalJournal of Saudi Chemical Society
AuthorsAlizadeh, As'adAuthor
Jasim Mohammed, KhidhairAuthor
Fadhil Smaisim, GhassanAuthor
Hadrawi, Salema K.Author
Zekri, HusseinAuthor
Taheri Andani, HamidAuthor
Nasajpour-Esfahani, NavidAuthor
Toghraie, DavoodAuthor
Year2023 (March)Volume27
Issue2
PublisherElsevier BV
DOIdoi:10.1016/j.jscs.2023.101613Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15692237Long-form Identifiermindat:1:5:15692237:3
GUID0
Full ReferenceAlizadeh, As'ad, Jasim Mohammed, Khidhair, Fadhil Smaisim, Ghassan, Hadrawi, Salema K., Zekri, Hussein, Taheri Andani, Hamid, Nasajpour-Esfahani, Navid, Toghraie, Davood (2023) Evaluation of the effects of the presence of ZnO -TiO2 (50 %–50 %) on the thermal conductivity of Ethylene Glycol base fluid and its estimation using Artificial Neural Network for industrial and commercial applications. Journal of Saudi Chemical Society, 27 (2) 101613 doi:10.1016/j.jscs.2023.101613
Plain TextAlizadeh, As'ad, Jasim Mohammed, Khidhair, Fadhil Smaisim, Ghassan, Hadrawi, Salema K., Zekri, Hussein, Taheri Andani, Hamid, Nasajpour-Esfahani, Navid, Toghraie, Davood (2023) Evaluation of the effects of the presence of ZnO -TiO2 (50 %–50 %) on the thermal conductivity of Ethylene Glycol base fluid and its estimation using Artificial Neural Network for industrial and commercial applications. Journal of Saudi Chemical Society, 27 (2) 101613 doi:10.1016/j.jscs.2023.101613
In(2023, March) Journal of Saudi Chemical Society Vol. 27 (2) Elsevier BV


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