On Heat Transfer in Oblique Stagnation Point Nanofluid Flow with Temperature Dependent Viscosity  

作　　者：Rabail Tabassum M.Kamran Khalil Ur Rehman Wasfi Shatanawi Rashid Mehmood 

机构地区：[1]Department of Mathematics,Faculty of Basic and Applied Sciences,Air University,Islamabad,44000,Pakistan [2]Department ofMathematics and Sciences,College ofHumanities and Sciences,Prince SultanUniversity,Riyadh,11586,Saudi Arabia [3]Department of Mathematics,Faculty of Science,The Hashemite University,Zarqa,13133,Jordan [4]Department of Mathematics,Faculty of Applied Sciences,HITEC University,Rawalpindi,47080,Pakistan

出　　处：《Frontiers in Heat and Mass Transfer》2025年第2期577-599,共23页热量和质量传递前沿(英文)

摘　　要：This study aims to elucidate the connection between the shape factor of GO(graphene oxide)nanoparticles and the behavior of blood-based non-aligned,2-dimensional,incompressible nanofluid flow near stagnation point,under the influence of temperature-dependent viscosity.Appropriate similarity transformations are employed to transform the non-linear partial differential equations(PDEs)into ordinary differential equations(ODEs).The governing equations are subsequently resolved by utilizing the shooting method.The modified Maxwell model is used to estimate the thermal efficiency of the nanofluid affected by different nanoparticle shapes.The impact of various shapes of GO nanoparticles on the velocity and temperature profiles,along with drag forces and heat flux at the stretching boundary,are examined with particular attention to factors such as viscosity changes.Numerical findings are based on the constant concentration of ϕ=5% with nanoparticles measuring 25 nm in size.The influence of different shapes of GO nanoparticles is analyzed for velocity,temperature distributions,as well as drag forces,and heat transfer at the stretching boundary.The velocity profile is highest for spherical-shaped nanoparticles,whereas the blade-shaped particles produced the greatest temperature distribution.Additionally,itwas observed that enhancing the nanoparticles’volume fraction from 1%to 9%significantly improved the temperature profile.Streamline trends are more inclined to the left when the stretching ratio parameter B=0.7 is applied,and a similar pattern is noted for the variable viscosity case with m=0.5.Furthermore,the blade-shaped nanoparticles exhibit the highest thermal conductivity,while the spherical-shaped nanoparticles display the lowest.

关 键 词：Heat transfer nanofluids oblique flows variable viscosity Runge-Kutta-Fehlberg scheme 

分 类 号：O35[理学—流体力学]