Using different Heuristic strategies and an adaptive Neuro-Fuzzy inference system for multi-objective optimization of Hybrid Nanofluid to provide an efficient thermal behavior

dc.authorid Cajamarca, Karina/0009-0009-3465-302X
dc.authorscopusid 58955378900
dc.authorscopusid 58860356700
dc.authorscopusid 58955011600
dc.authorscopusid 57422522900
dc.authorscopusid 58292177700
dc.authorscopusid 58955011700
dc.authorscopusid 58954452700
dc.contributor.author Wang, Zhe
dc.contributor.author Shami, Hayder Oleiwi
dc.contributor.author Kazim, Khudhaier J.
dc.contributor.author Basem, Ali
dc.contributor.author Al-fanhrawi, Halah Jawad
dc.contributor.author Dacto, Karina Elizabeth Cajamarca
dc.contributor.author Eftekhari, S. Ali
dc.date.accessioned 2024-05-25T11:37:28Z
dc.date.available 2024-05-25T11:37:28Z
dc.date.issued 2024
dc.department Okan University en_US
dc.department-temp [Wang, Zhe] Natl Ctr Nanosci & Technol, Beijing 100190, Peoples R China; [Wang, Zhe] GBA Natl Inst Nanotechnol Innovat, Guangzhou 510700, Guangdong, Peoples R China; [Shami, Hayder Oleiwi] Al Amarah Univ Coll, Dept Accounting, Maysan, Iraq; [Shami, Hayder Oleiwi] Univ Misan, Coll Adm & Econ, Dept Econ, Amarah, Iraq; [Kazim, Khudhaier J.] Madenat Alelem Univ Coll, Dept Comp Engn Tech, Baghdad 10006, Iraq; [Basem, Ali] Warith Al Anbiyaa Univ, Fac Engn, Karbala 56001, Iraq; [Al-fanhrawi, Halah Jawad] Al Mustaqbal Univ, Res & Studies Unit, Babylon 51001, Iraq; [Dacto, Karina Elizabeth Cajamarca] Univ Nacl Chimborazo, Riobamba 060501, Chimborazo, Ecuador; [Salahshour, Soheil] Istanbul Okan Univ, Fac Engn & Nat Sci, Istanbul, Turkiye; [Salahshour, Soheil] Bahcesehir Univ, Fac Engn & Nat Sci, Istanbul, Turkiye; [Salahshour, Soheil] Lebanese Amer Univ, Dept Comp Sci & Math, Beirut, Lebanon; [Khajehkhabaz, Mohammad; Eftekhari, S. Ali] Islamic Azad Univ, Dept Mech Engn, Khomeinishahr Branch, Khomeinishahr, Iran en_US
dc.description Cajamarca, Karina/0009-0009-3465-302X en_US
dc.description.abstract The importance of multi-objective optimization in hybrid nanofluid research lies in its wide-ranging applications across fields such as microelectronics, aerospace, and renewable energy. These specialized fluids hold the potential to elevate the performance and efficiency of diverse systems through enhanced heat transfer capabilities. This research endeavor is centered around optimizing a hybrid nanofluid composed of Silicon Oxide-MWCNTAlumina/Water by leveraging a mix of heuristic approaches and an adaptive neuro-fuzzy inference system. To this end, the most influential set of input parameters has been identified using four state-of-the-art algorithms: Non-dominated Genetic Algorithm, multi-objective particle swarm optimization, Strength Pareto Evolutionary Algorithm 2, and Pareto Envelope-based Selection Algorithm 2. The goal of the optimization process is to modify the temperature (T = 20 degrees C to 60 degrees C) and the volume fraction of nanoparticles (SVF=0.1 % to 0.5 %). Finding the optimal combination of these parameters that results in the hybrid nanofluid with the maximum thermal conductivity (knf) and the lowest dynamic viscosity is the main objective. The findings of this research have the potential to drastically improve the performance of systems in a variety of applications and to change the creation of sophisticated, high-efficiency heat transfer fluids. en_US
dc.description.sponsorship Open Fund Project of Key Laboratory of Eco-geochemistry of Ministry of Natural Resources of China [ZSDHJJ201803] en_US
dc.description.sponsorship Open Fund Project of Key Laboratory of Eco-geochemistry of Ministry of Natural Resources of China (ZSDHJJ201803) en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.1016/j.swevo.2024.101536
dc.identifier.issn 2210-6502
dc.identifier.issn 2210-6510
dc.identifier.scopus 2-s2.0-85188598281
dc.identifier.scopusquality Q1
dc.identifier.uri https://doi.org/10.1016/j.swevo.2024.101536
dc.identifier.uri https://hdl.handle.net/20.500.14517/1172
dc.identifier.volume 86 en_US
dc.identifier.wos WOS:001220254400001
dc.identifier.wosquality Q1
dc.institutionauthor Salahshour S.
dc.language.iso en
dc.publisher Elsevier en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 4
dc.subject Multi-objective optimization en_US
dc.subject Heuristic strategies en_US
dc.subject Hybrid nanofluid en_US
dc.subject Thermal conductivity en_US
dc.subject Dynamic viscosity en_US
dc.subject Anfis en_US
dc.title Using different Heuristic strategies and an adaptive Neuro-Fuzzy inference system for multi-objective optimization of Hybrid Nanofluid to provide an efficient thermal behavior en_US
dc.type Article en_US
dc.wos.citedbyCount 4

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