Heat transfer analysis in the engine‐based oil‐based hybrid nanofluid flow between two spinning disks: Probed by artificial neural network

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2025, Volume and Issue: 105(2)

Published: Feb. 1, 2025

Abstract A time‐dependent mixed convective hybrid nanofluid (HNF) ( /Engine oil) flow between two spinning disks is considered. The physical problem modeled and transformed into a non‐dimensional ordianary differential equation system to reduce the complexity. modified Devi Devi's model utilized for properties. cylindrical shape nanoparticles are considered analysis of various pertinent parameters. base fluid as engine oil briefly explain its thermal behavior. One famous optimization algorithms Levenberg–Marquardt used train artificial neural network with data achieved from numerical results analyze states HNF. state variables well nanoparticle shapes displayed through graphs tables. enhancement expansion parameter () causes augment, then drop augment again velocity gradient increasing distance disks. temperature initially enhances rising strength (). concentration nanomaterial associated higher values volume fraction distribution obtained show that smaller will keep at lower temperature. validated in each case by providing validation absolute error graphs.

Language: Английский

Peristaltic rotating motion of couple stress nanofluid affected by Soret and Dufour effects: An application to nanotechnology

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2025, Volume and Issue: 105(5)

Published: April 19, 2025

Abstract This study analyzes the effects of thermal radiation in a rotating frame with peristaltic motion couple stress nanofluids. The channel rotates at constant angular speed around z ‐axis and is filled fluid. Heat mass transfer effects, including thermo‐diffusion (Dufour) thermal‐diffusion (Soret) are considered along convective boundary conditions viscous dissipation. aims to understand behavior nanofluids under rotation, influenced by thermophoresis Brownian motion. governing nonlinear equations transformed into dimensionless form assumptions long wavelength low Reynolds number solved numerically using MATHEMATICA NDSolve function. results reveal that rotation enhances primary velocity while reducing secondary velocity. Soret Dufour significantly influence concentration distribution, exhibit opposite impacts on temperature concentration. analysis isotherms contours highlights variations nanoparticle distribution. These findings provide valuable insights interplay peristalsis, nanofluid transport, applications biomedical engineering, microfluidic systems, industrial heat exchangers.

Language: Английский

Environmental impact assessment of carbon-negative bio-based plastics advancing sustainable feedstock utilization

Bioresource Technology Reports, Journal Year: 2025, Volume and Issue: unknown, P. 102124 - 102124

Published: April 1, 2025

Language: Английский