Bibliographic Details
| Title: |
Numerical solution of chemically reactive and thermally radiative MHD Prandtl nanofluid over a curved surface with convective boundary conditions. |
| Authors: |
Rasheed, Haroon Ur1 (AUTHOR), Islam, Saeed1 (AUTHOR), Zeeshan2 (AUTHOR) zeeshansuit@gmail.com, Khan, Jahangir3 (AUTHOR), Abbas, Tariq3 (AUTHOR), Mohmand, Muhammad Ismail4 (AUTHOR) |
| Source: |
ZAMM -- Journal of Applied Mathematics & Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. Mar2026, Vol. 106 Issue 3, p1-17. 17p. |
| Subjects: |
Reactive flow, Magnetohydrodynamics, Nanofluids, Numerical solutions to equations, Curved surfaces, Heat transfer fluids, Heat convection, Boundary layer (Aerodynamics) |
| Abstract: |
This study intends to elaborate the heat and mass transfer analysis of Prandtl nanofluid flow over a vertically heated curved surface together with MHD, thermal radiation, and chemical reaction effects. The boundary layer approximations developed the governing flow equations such as momentum, energy, and diffusion balance equations. The nonlinear system of PDEs is changed into nonlinear ordinary differential equations via proper transformations. By taking the assistance of the bvp4c algorithm, the numerical technique is imposed explicitly for attaining the dimensionless form of the fundamental equations. The nondimensional outcomes are apprehended here which rely on numerous physical constraints. The impression of these physical parameters on momentum and thermal boundary layers along with concentration outlines are discussed and demonstrated graphically. The impact of drag force, heat transfer coefficient, and mass flow rate are computed and presented through tables. [ABSTRACT FROM AUTHOR] |
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Copyright of ZAMM -- Journal of Applied Mathematics & Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |