Levenberg-Marquardt recurrent neural network for heat transfer in ternary hybrid nanofluid flow with nonlinear heat source-sink

• Published in: Advances in mechanical engineering Vol. 17; no. 6
• Main Authors: Mahariq, Ibrahim, Ullah, Kashif, Fiza, Mehreen, Jan, Aasim Ullah, Ullah, Hakeem, Islam, Saeed, Al-Mekhlafi, Seham M.
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.06.2025; Sage Publications Ltd; SAGE Publishing
• Subjects: Accuracy; Back propagation networks; Cooling systems; Flow characteristics; Fluid flow; Heat flux; Heat sources; Heat transfer; Industrial applications; Magnetohydrodynamics; Management systems; Manganese zinc ferrites; Nanofluids; Neural networks; Nonlinear differential equations; Partial differential equations; Radiation; Recurrent neural networks; Silver; Temperature distribution; Thermal analysis; Thermal management; Thermal radiation; Thermal relaxation; Training evaluation; Two dimensional flow; CCHF; THNF; MnZn Fe 2 O 4 and Cu nanoparticles; Ag; non-linear thermal radiation
• ISSN: 1687-8132; 1687-8140
• DOI: 10.1177/16878132251341968

This study focuses on the application of ternary hybrid nanofluids (manganese zinc ferrite, copper, and silver) over a spinning disk, which has significant implications for thermal management, biomedical devices, aerospace, and industrial cooling systems. Due to the antibacterial and antifungicidal...