Density-driven flow in chamfered enclosures with obstacles under regular and irregular inner temperature distributions: A hybrid finite element method and neural network approach DOI
Muflih Alhazmi, Sameh E. Ahmed, Zahra S. Hafed

et al.

Separation Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: March 26, 2025

Language: Английский

Optimization and performance enhancement of parabolic trough collectors using hybrid nanofluids and ANN modeling DOI
Santosh Kumar Singh, Arun Kumar Tiwari, Wassila Ajbar

et al.

Journal of the Taiwan Institute of Chemical Engineers, Journal Year: 2025, Volume and Issue: 169, P. 105984 - 105984

Published: Feb. 20, 2025

Language: Английский

Citations

1

A study of unsteady mixed convection in porous corrugated enclosures with magnetic fields DOI
Pankaj Kumar Choudhary, Rajan Kumar

International Communications in Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 164, P. 108923 - 108923

Published: April 19, 2025

Language: Английский

Citations

0

Entropy Generation Modeling in Dynamic Local Thermal Non-Equilibrium Systems Using Neural Networks DOI Open Access
Sameh E. Ahmed, Zehba Raizah,

Zeinab Morsy

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 319 - 319

Published: Jan. 24, 2025

The study of entropy generation in thermal non-equilibrium (TNE) states has significant implications for optimizing management systems and understanding heat transfer mechanisms permeable media. This investigates the properties a state within double-lid-driven enclosures filled with medium. Unlike temperature equilibrium state, approach is described by two equations: one irreversibility mixture phase medium phase. High mixed convection considered due to motion non-facing edges (left-side upper edges). Four cases based on direction are examined: Case 1, where left-side top move negative positive directions Y- X-axes, respectively; 2, X- Y-axes, Cases 3 4, respective axes. Heat flow domain both suspension phases. governing system solved numerically using finite volume techniques SIMPLER algorithm. obtained data used predict key quantities, such as rate, under influence major factors an effective artificial neural network (ANN) analysis. main findings show that solid higher compared other cases. Additionally, 2 results minimum Nusselt coefficient at center active boundary.

Language: Английский

Citations

0

Density-driven flow in chamfered enclosures with obstacles under regular and irregular inner temperature distributions: A hybrid finite element method and neural network approach DOI
Muflih Alhazmi, Sameh E. Ahmed, Zahra S. Hafed

et al.

Separation Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: March 26, 2025

Language: Английский

Citations

0