Stagnation-point Brinkman flow of nanofluid on a stretchable plate with thermal radiation.

Mahabaleshwar, U.S.; Mahesh, R.; Chan, A.

Abstract

The study is an analytical exploration of hybrid nanofluid flow at a stagnation-point with Brinkman effect on a stretchable plate with thermal radiation. All of the aforementioned factors were taken into account when developing the mathematical model based on the Navier–Stokes equations for nanofluids, leading to a system of partial differential equations. Using suitable scaling, these equations are reduced to system of ordinary differential equations. The outcome of the system of ordinary differential equations are solved analytically and closed-form solutions are obtained in terms of incomplete error function. The results are analysed for the many significant flow characteristics with the profiles of velocity and temperature explored graphically. The amount of the heat transfer is increased due to the interaction between nanoparticles and the wall, and the wall surface is cooled when wall suction is present.

Citation

MAHABALESHWAR, U.S., MAHESH, R. and CHAN, A. 2024. Stagnation-point Brinkman flow of nanofluid on a stretchable plate with thermal radiation. International journal of applied and computational mathematics [online], 10(2), article number 47. Available from: https://doi.org/10.1007/s40819-024-01685-w

• Journal Article Type: Article
• Acceptance Date: Jan 12, 2024
• Online Publication Date: Feb 16, 2024
• Publication Date: Apr 30, 2024
• Deposit Date: Feb 12, 2024
• Publicly Available Date: Feb 12, 2024
• Journal: International journal of applied and computational mathematics
• Print ISSN: 2349-5103
• Electronic ISSN: 2199-5796
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 10
• Issue: 2
• Article Number: 47
• DOI: https://doi.org/10.1007/s40819-024-01685-w
• Keywords: Nanoparticles; Thermal radiation; Hybrid nanofluid; Thermophysical properties; Brinkman ratio; Hybrid nanoparticles; Stagnation point; Thermal radiation
• Public URL: https://rgu-repository.worktribe.com/output/2242713