Dissolution-Driven Convection in a Porous Medium Due to Vertical Axis of Rotation and Magnetic Field

Autor:	Gundlapally Shiva Kumar Reddy, Nilam Venkata Koteswararao, Ragoju Ravi, Kiran Kumar Paidipati, Christophe Chesneau
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	linear stability magnetic field porous layer chemical reaction Levenberg–Marquardt backpropagation algorithm Applied mathematics. Quantitative methods T57-57.97 Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Mathematical and Computational Applications, Vol 27, Iss 3, p 53 (2022)
Druh dokumentu:	article
ISSN:	2297-8747 1300-686X
DOI:	10.3390/mca27030053
Popis:	This article aims to study the effect of the vertical rotation and magnetic field on the dissolution-driven convection in a saturated porous layer with a first-order chemical reaction. The system’s physical parameters depend on the Vadasz number, the Hartmann number, the Taylor number, and the Damkohler number. We analyze them in an in-depth manner. On the other hand, based on an artificial neural network (ANN) technique, the Levenberg–Marquardt backpropagation algorithm is adopted to predict the distribution of the critical Rayleigh number and for the linear stability analysis. The simulated critical Rayleigh numbers obtained by the numerical study and the predicted critical Rayleigh numbers by the ANN are compared and are in good agreement. The system becomes more stable by increasing the Damkohler and Taylor numbers.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/0c5a065b294d4006ac5e15b0abdbb8be Zobrazit plný text záznamu View record in DOAJ