
Results in Physics, Journal Year: 2024, Volume and Issue: unknown, P. 108031 - 108031
Published: Nov. 1, 2024
Language: Английский
Results in Physics, Journal Year: 2024, Volume and Issue: unknown, P. 108031 - 108031
Published: Nov. 1, 2024
Language: Английский
Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 60, P. 104777 - 104777
Published: July 1, 2024
The study of heat transfer in fluid flows across permeable media is critical many engineering applications, including energy systems, cooling technologies, and chemical processes. This aims to explore the impact joule heating flow an MHD dissipative ternary through a channel embedded Darcy-Forchheimer medium. Additionally, utilization hybrid nanofluids, composed base three nanoparticles Al2O3, MoS2, Cu has emerged as promising avenue for augmenting thermal conductivity rates. governing equations are transformed into set coupled ordinary differential by employing similarity variables simplified bvp4c artificial neural network (ANN) model approaches. Results reveal that significant enhancement velocity field at lower wall reductions upper wall, while temperature decreases with increasing Prandtl number. Further, rate increases increase number magnetic whereas skin friction decays field. Meanwhile, comparison was carried out using & ANN results strongly correlated.
Language: Английский
Citations
19Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105460 - 105460
Published: Dec. 1, 2024
Language: Английский
Citations
12International Journal of Heat and Fluid Flow, Journal Year: 2024, Volume and Issue: 109, P. 109507 - 109507
Published: July 24, 2024
Language: Английский
Citations
10ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 9, 2024
Abstract This research addresses the complex dynamics of hybrid Casson nanoliquids in flow and heat transfer applications, focusing on interaction between fluid thermal phenomena presence magnetohydrodynamics (MHD), viscous dissipation, Joule heating. The motivation behind this study stems from need to enhance efficiency processes various engineering such as cooling systems electronic devices, where nanofluids can offer superior performance compared conventional fluids. novelty work lies its comprehensive numerical investigation a nanoliquid over moving permeable surface, incorporating detailed analysis MHD effects, Using Tiwari Das model formulate governing equations, employs similarity transformations convert these equations into system ordinary differential (ODEs). MATLAB is then used derive solutions, with stability ensuring physical dependability solutions. Key findings reveal that temperature distribution shows positive correlation both Prandtl Hartmann numbers. Additionally, relationship Eckert number observed. These insights valuable guidance for engineers aiming optimize using nanofluids, highlighting their potential improved management practical applications.
Language: Английский
Citations
7Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 63, P. 105275 - 105275
Published: Oct. 11, 2024
Language: Английский
Citations
4Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 103502 - 103502
Published: Nov. 27, 2024
Language: Английский
Citations
3ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 3, 2024
Abstract In this study, we aim to investigate the entropy production in magnetohydrodynamic (MHD) flow of hybrid nanofluids over permeable rotating disks. We will analyze within a three‐dimensional MHD Ag‐MgO nanofluid porous disk with variable fluid properties. Our analysis incorporate time‐dependent radial stretching and slip effects on velocities temperature. Moreover, study take into account exponentially temperature‐dependent viscosity nonlinear thermal radiation. The uses self‐similar transformations convert coupled partial differential equations set ordinary equations. Numerically solving these involves using shooting technique relies 4th‐order Runge–Kutta–Fehlberg method. rotation introduces parameter that accelerates motion. explores heat transfer rate, skin friction, quantified by Bejan number. Various factors, including magnetic field intensity, rotation, radiation, viscosity, influence quantification. outcomes can enhance system efficiency through suitable choices, deepening our understanding generation performance under varying factors. This research is important for improving processes, reducing energy waste, design operation advanced systems engineering applications. results could lead innovations management, conservation, sustainable practices.
Language: Английский
Citations
2Numerical Heat Transfer Part A Applications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26
Published: June 26, 2024
Language: Английский
Citations
1Results in Physics, Journal Year: 2024, Volume and Issue: unknown, P. 108031 - 108031
Published: Nov. 1, 2024
Language: Английский
Citations
1