纳米流体
热导率
传热
热力学
哈特曼数
机械
热辐射
热的
材料科学
物理
雷诺数
努塞尔数
湍流
作者
Himanshu Upreti,Alok Kumar Pandey,Navneet Joshi,Oluwole Daniel Makinde
出处
期刊:Journal of computational biophysics and chemistry
[World Scientific]
日期:2022-11-27
卷期号:22 (03): 321-334
被引量:52
标识
DOI:10.1142/s2737416523400070
摘要
The importance of non-Newtonian fluid (Casson fluid) in industry is increasingly appreciated. However, little is known about the flow rheology of Casson fluid flowing over a Riga plate. Thus, the purpose of this investigation is to examine the nature of entropy generation (EG) and heat transfer (HT) on Casson hybrid nanofluid flow past a Riga plate by considering the influences of magnetic field and thermal radiation. The Hamilton–Crosser (Model 1) and Xue model (Model 2) of thermal conductivity are incorporated for Casson hybrid nanofluid. The governing equations are solved by numerical methods i.e., bvp4c and shooting techniques. In the current framework, the comparative patterns for both models of temperature, velocities, EG and Bejan number are depicted due to the existing parameters. The domain of the pertinent parameters is taken as thermal radiation, [Formula: see text]; stretching parameter, [Formula: see text]; Casson factor, [Formula: see text]; rotation parameter, [Formula: see text]and Hartmann number, [Formula: see text]. The outcomes show that the rise in volume fraction and thermal conductivity profile of Xue model (Model 2) is better than Hamilton–Crosser model (Model 1). Moreover, EG profiles are escalated with augmentation in values of Hartmann number and stretching parameter for both models. The results of the study are useful for predicting the rheology of right fluid, while it also assists in safeguarding the boundary layer (BL) separation, along with establishing a parallel force to the surface in assisting the domain of science and technology.
科研通智能强力驱动
Strongly Powered by AbleSci AI