article · Case Studies in Thermal Engineering
This research numerically examines the three-dimensional flow of a trihybrid nanofluid consisting of copper, titanium dioxide, and iron oxide nanoparticles suspended in a propylene glycol base liquid. The simulation incorporates magnetohydrodynamic effects, porous media, thermal radiation, Stefan blowing, and Soret and Dufour phenomena. Two thermal conductivity frameworks, the Yamada-Ota model and the Hamilton-Crosser model, were evaluated and compared using the bvp4c numerical method. The results demonstrate that increasing the Stefan blowing parameter enhances fluid velocity and the rate of heat transmission while decreasing the thermal distribution. Furthermore, the Yamada-Ota model demonstrated superior heat transmission performance relative to the Hamilton-Crosser model. Increasing the nanoparticle volume fraction from 0.01 to 0.04 raised the heat transfer rate by 21.87 percent for the trihybrid nanofluid, outperforming both hybrid and mono nanofluids.
Advanced cooling fluids are critical for preventing overheating in high-performance machinery. By combining multiple types of nanoparticles into a single carrier liquid, cooling efficiency can be significantly boosted. These mathematical simulations help predict fluid behaviour under complex magnetic and thermal conditions, assisting in the design of more energy-efficient and reliable thermal management systems for demanding technologies.
This theoretical modelling work could inform thermal management designs in sectors requiring high-efficiency cooling, including nuclear reactor systems, electronic devices, and aeronautical engineering. Intended users include thermal engineers and system designers seeking to optimise cooling fluid performance. The research represents early-stage numerical simulation, meaning practical adoption will depend on subsequent experimental validation and fluid formulation testing in physical environments.
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The present work examines the Soret and Dufour significance on 3D flow of THNF (trihybrid nanofluid) over sheet with porous medium, heat radiation and Stephan blowing impacts using two different thermal conductivity models known as HCM (Hamilton-Crosser model) and YOM (Yamada-Ota model). A trihybrid nanofluid consisting of C u , T i O 2 , F e 3 O 4 and propylene glycol ( C 3 H 8 O 2 ) as the base liquid is utilized. Performance-wise, this suggested model contrasts the two well-known thermal conductivity THNF models, the YOM (Yamada-Ota model) and the HCM (Hamilton-Crosser model). An advanced model for 3D analysis for THNF (trihybrid nanofluid) through Stefan blowing is existing in the Current investigation. This sophisticated study is essential to improving heat transfer efficiency in industrial processes involving intricate fluid flows under magnetic fields, such as nuclear reactor cooling systems, electronic device cooling systems, and aeronautical engineering. By accurately forecasting the behavior of nanofluids, the model aids in the optimization of thermal management in these systems, enhancing system dependability and energy efficiency. The mathematical results of governing comparisons remain acquired through shelling method (Bvp4c). The YOM and MCM models are used to describe how certain physical characteristics (concentration, velocity, and thermal) affect the usual profiles. The velocity profile and rate of heat transmission rise as the Stephan blowing parameter is increased, but the thermal distribution decreases. The Yamada-Ota model outperforms the Hamilton-Crosser thermal conductivity model of THNF in terms of heat transmission competence. The heat transfer rate is increased by 21.87 % for the ternary hybrid nanofluid, 16.56 % for the hybrid nanofluid, and 11.25 % for the mono nanofluid when the nanoparticles volume fraction is increased from 0.01 to 0.04.
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DOI: 10.1016/j.csite.2024.105460
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