Computational assessment of hybrid nanofluid flow with the influence of hall current and chemical reaction over a slender stretching surface

Alexandria Engineering Journal

Aatif Ali¹  Anas Abdelrahman²  Maha M. Helmi³  Samia Elattar⁴  Mohamed Abdelghany Elkotb⁵  Muhammad Bilal⁶  M.A. El-Shorbagy⁷ 

[1] Department of Basic Engineering Science, Faculty of Engineering, Menoufia University, Shebin El-Kom 32511, Egypt;Mechanical Engineering Department, College of Engineering, Kafrelsheikh University, 33516, Egypt;Systems Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia;;Department of Industrial &Department of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia;Mechanical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia;

关键词: Hybrid nanofluid;    Slendering stretching sheet;    Chemical reaction;    Parametric Continuation Method (PCM);    Zero nanoparticles flux;    Hall current;   

DOI  :  

来源: DOAJ

【 摘 要 】

The current study addresses the flow of steady electrically conducting hybrid nanofluid (HNF) across an impermeable slender stretchable sheet. The flow distribution takes into consideration the effects of variable magnetic fields, heat production, Hall current and chemical reactions. A computational model is established for the purpose to amplify the energy communication rate and enhance the productivity and performance of thermal energy propagation for several industrial and biological purposes. The hybrid nanofluid is comprised of silver and magnesium oxide nanomaterials in the working fluid water. Among transition metals and alloys, magnesium oxide and silver nanoparticles (NPs) have been extensively documented to have broad-spectrum antibacterial properties. Silver NPs are the most extensively employed inorganic NP, having several applications in biomaterial detection and antibacterial actions. The scenario has been expressed as a system of PDEs. Which are simplified to the system of ODEs through similarity replacements. The computing approach PCM is used to subsequently evaluate the acquired 1st order differential equations. The outcomes are checked with the bvp4c package and existing literature for consistency and validity. It has been noticed that the axial velocity profile enhances with the effect of Hall current m and velocity power index constraint n, while reducing with the variation of nanoparticles volume friction ϕ1,ϕ2 and slender sheet wall thickness parameter δ.

【 授权许可】

Unknown