Investigating the influence of temperature-dependent rheological properties on nanofluid behavior in heat transfer

Mohsan Hassan; Muhammad Rizwan; M M Bhatti

doi:10.1088/1361-6528/acfb15

Investigating the influence of temperature-dependent rheological properties on nanofluid behavior in heat transfer

Nanotechnology. 2023 Oct 6;34(50). doi: 10.1088/1361-6528/acfb15.

Authors

Mohsan Hassan¹, Muhammad Rizwan¹, M M Bhatti^{2

3}

Affiliations

¹ Department of Mathematics, COMSATS University Islamabad, Lahore Campus, 54000, Pakistan.
² College of Mathematics and Systems Science, Shandong University of Science & Technology, Qingdao 266590, Shandong, People's Republic of China.
³ Material Science Innovation and Modelling (MaSIM) Research Focus Area, North-West University (Mafikeng Campus), Private Bag X2046, Mmabatho 2735, South Africa.

PMID: 37725967
DOI: 10.1088/1361-6528/acfb15

Abstract

Nanofluids are advanced heat transfer fluids whose performance is influenced by various thermo-physical properties, including nanoparticle volume fraction, base fluid, and temperature. Rheological mathematical models have been established by using empirical data in order to characterize these features as dependent on parameters such as volume fraction, base fluid composition, and temperature. These models have been integrated into transport equations. Nanofluids composed of metallic oxides (Al₂O₃, SiO₂) and carbon nanostructures (PEG-GnP, PEG-TGr) dispersed in deionized H₂O, with nanoparticle concentrations ranging from 0.025% to 0.1%, and temperatures between 30 °C and 50 °C, were utilized to investigate flow over thin needle. The rheological models contained transport equations include the partial differential equations. The transport equations were simplified through various transformations and then solved numerically. The results in form of velocity and temperature distributions were obtained, along with boundary layer parameters, Nusselt number and coefficient of skin friction. The present study contributes to the existing knowledge by elucidating the intricate relationship between nanoparticle volume fraction, base fluid properties, and temperature in nanofluid behavior.

Keywords: exponential models of viscosity and thermal conductivity; heat and mass flow characteristics; rheological modeling; temperature dependent thermophysical.