Sensitivity analysis and modeling of thermophysical properties of a hybrid nanofluid by use of different intelligent techniques

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F25%3A10258191" target="_blank" >RIV/61989100:27730/25:10258191 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2590123025026684" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2590123025026684</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ijheatfluidflow.2025.109982" target="_blank" >10.1016/j.ijheatfluidflow.2025.109982</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Sensitivity analysis and modeling of thermophysical properties of a hybrid nanofluid by use of different intelligent techniques

Popis výsledku v původním jazyce

The thermal conductivity and dynamic viscosity of nanofluids are essential factors in determining heat transfer and fluid flow characteristics. Intelligent methods have demonstrated great effectiveness for the precise estimation and modeling of these properties. The purpose of this study is to model both thermal conductivity and dynamic viscosity of a hybrid nanofluid, TiO2-SiO2/water-ethylene glycol, by application of three intelligent approaches namely Group Method of Data Handling (GMDH), Particle Swarm Optimization-Adaptive Neuro Fuzzy Inference System (PSO-ANFIS) and Genetic Algorithm-Adaptive Neuro Fuzzy Inference System (GA-ANFIS). The outcome of the study shows significant precision of the proposed models in estimation of the thermophysical properties. The most accurate models for thermal conductivity and dynamic viscosity are PSO-ANFIS and GMDH, respectively. R2 &amp; and Average Absolute Relative Deviation (AARD) for the thermal conductivity and dynamic viscosity of the nanofluids with the most accurate models are 0.9907 &amp; 0.41% and 0.9889 &amp; 2.45%, respectively. Furthermore, sensitivity analysis is conducted on both properties of the nanofluid by considering temperature, concentration, and mixture ratio of the hybrid nanofluids and it is found that for both properties, temperature has the highest effect and is followed by the concentration.

Název v anglickém jazyce

Sensitivity analysis and modeling of thermophysical properties of a hybrid nanofluid by use of different intelligent techniques

Popis výsledku anglicky

The thermal conductivity and dynamic viscosity of nanofluids are essential factors in determining heat transfer and fluid flow characteristics. Intelligent methods have demonstrated great effectiveness for the precise estimation and modeling of these properties. The purpose of this study is to model both thermal conductivity and dynamic viscosity of a hybrid nanofluid, TiO2-SiO2/water-ethylene glycol, by application of three intelligent approaches namely Group Method of Data Handling (GMDH), Particle Swarm Optimization-Adaptive Neuro Fuzzy Inference System (PSO-ANFIS) and Genetic Algorithm-Adaptive Neuro Fuzzy Inference System (GA-ANFIS). The outcome of the study shows significant precision of the proposed models in estimation of the thermophysical properties. The most accurate models for thermal conductivity and dynamic viscosity are PSO-ANFIS and GMDH, respectively. R2 &amp; and Average Absolute Relative Deviation (AARD) for the thermal conductivity and dynamic viscosity of the nanofluids with the most accurate models are 0.9907 &amp; 0.41% and 0.9889 &amp; 2.45%, respectively. Furthermore, sensitivity analysis is conducted on both properties of the nanofluid by considering temperature, concentration, and mixture ratio of the hybrid nanofluids and it is found that for both properties, temperature has the highest effect and is followed by the concentration.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

International Journal of Heat and Fluid Flow

ISSN

0142-727X

e-ISSN

1879-2278

Svazek periodika

116

Číslo periodika v rámci svazku

Volume 27, September 2025

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

nestránkováno

Kód UT WoS článku

001534223000001

EID výsledku v databázi Scopus

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