Thermal Response of Convective-Radiative Stagnation Point Flow Influenced by Advanced Ternary Nanoparticles (Al2O3–Cu–CuO) and Temperature Slip: Study for Elastic Surface

Autor: Adnan, Rahman, Khaleeq ur, Khan, Sami Ullah, Ahmad, Hijaz
Zdroj: BioNanoScience; 20240101, Issue: Preprints p1-15, 15p
Abstrakt: Investigation of ternary nanofluids piqued the interest of researchers and engineers more specifically in chemical and applied thermal engineering. The improved characteristics of ternary nanoliquid are dominant over the previous classes Thus, the analysis of nanofluids through elastic surface is common from engineering and industrial applications which is important to report. This research purely emphasized on the study of ternary nanoliquids through the permeable elastic surface. The enhanced thermal conductivity, density, heat capacitance, and viscosity were estimated using the supporting correlations. Further, different physical constraints like thermal slip, radiation, suction/injection, uniform surface convection, and stretching/shrinking effects were added to enhance the model's novelty. Then, the model was analyzed numerically, and the physical results were furnished. It is investigated that the concentration of Al2O3in the range of 0.02 to 0.2 reduced the movement to about a stagnant point, and also, a quick decrease in the velocity is observed for the suction case. The thermal performance of the problem is enhanced in the presence of stronger convection (B1= 0.2, 0.4, 0.6, 0.8) provided from the surface, and the optimum temperature of ternary nanofluid is noticed near the stagnant surface. Further, the existence of viscous dissipation (Ec1= 0.01, 0.02, 0.03, 0.04) and nanoparticle amount (Φ3= 0.02, 0.08, 0.14, 0.20) highly contributes in the temperature for both stretching and shrinking cases. The significant effects of heating source (Q1= 0.1, 0.2, 0.3, 0.4) and imposed thermal radiation effects (Rd= 0.1, 0.2, 0.3, 0.4) potentially enhanced the temperature performance of the ternary nanofluidic system. Thus, the added physical constraints are good physical tools to augment the model performance.
Databáze: Supplemental Index