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Lakhdar A, Skander J, Tayeb NT, Mostefa T, Hossain S, Kim SM. Analysis of Entropy Generation for Mass and Thermal Mixing Behaviors in Non-Newtonian Nano-Fluids of a Crossing Micromixer. MICROMACHINES 2024; 15:1392. [PMID: 39597204 PMCID: PMC11597064 DOI: 10.3390/mi15111392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 11/06/2024] [Accepted: 11/11/2024] [Indexed: 11/29/2024]
Abstract
This work's objective is to investigate the laminar steady flow characteristics of non-Newtonian nano-fluids in a developed chaotic microdevice known as a two-layer crossing channels micromixer (TLCCM). The continuity equation, the 3D momentum equations, and the species transport equations have been solved numerically at low Reynolds numbers with the commercial CFD software Fluent. A procedure has been verified for non-Newtonian flow in studied geometry that is continuously heated. Secondary flows and thermal mixing performance with two distinct intake temperatures of nano-shear thinning fluids is involved. For an extensive range of Reynolds numbers (0.1 to 25), the impact of fluid characteristics and various concentrations of Al2O3 nanoparticles on thermal mixing capabilities and pressure drop were investigated. The simulation for performance enhancement was run using a power-law index (n) at intervals of different nanoparticle concentrations (0.5 to 5%). At high nano-fluid concentrations, our research findings indicate that hydrodynamic and thermal performances are considerably improved for all Reynolds numbers because of the strong chaotic flow. The mass fraction visualization shows that the suggested design has a fast thermal mixing rate that approaches 0.99%. As a consequence of the thermal and hydrodynamic processes, under the effect of chaotic advection, the creation of entropy governs the second law of thermodynamics. Thus, with the least amount of friction and thermal irreversibilities compared to other studied geometries, the TLCCM arrangement confirmed a significant enhancement in the mixing performance.
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Affiliation(s)
- Ayache Lakhdar
- Laboratory of Electro-Mechanical Systems, The Engineers National School of SFAX, University of SFAX, Sfax 3038, Tunisia; (A.L.)
| | - Jribi Skander
- Laboratory of Electro-Mechanical Systems, The Engineers National School of SFAX, University of SFAX, Sfax 3038, Tunisia; (A.L.)
- Department of Mechanical Engineering, College of Engineering, King Faisal University, Al-Ahsa 36362, Saudi Arabia
| | - Naas Toufik Tayeb
- Laboratory of Renewable Energy Systems Applications, Gas Turbine Joint Research Team, Ziane Achour University, Djelfa 17000, Algeria;
| | - Telha Mostefa
- Department of Mechanical Engineering, Ziane Achour University, Djelfa 17000, Algeria;
| | - Shakhawat Hossain
- Department of Industrial and Production Engineering, Jashore University of Science and Technology, Jessore 7408, Bangladesh
| | - Sun Min Kim
- Department of Mechanical Engineering, Inha University, 100, Inha-ro, Michuhol-gu, Incheon 22212, Republic of Korea
- Department of Biological Sciences and Bioengineering, Inha University, 100, Inha-ro, Michuhol-gu, Incheon 22212, Republic of Korea
- Biohybrid Systems Research Center, Inha University, 100, Inha-ro, Michuhol-gu, Incheon 22212, Republic of Korea
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Simulation of Multi-Phase Flow in Autoclaves Using a Coupled CFD-DPM Approach. Processes (Basel) 2023. [DOI: 10.3390/pr11030890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
In this work, a numerical simulation study on the mixing characteristics of multiphase flow in an autoclave was carried out using CFD technology. The Eulerian–Eulerian model and discrete phase model (DPM) were employed to investigate the solid holdup, critical suspension speed, nonuniformity of solid suspension, gas holdup distribution, bubble tracks, and residence time during stirring leaching in the autoclave. Experiments validate the accuracy of the numerical model, and the experimental values correspond well with the simulation results. The numerical simulation results show that the solid–liquid mixing is mainly affected by the axial flow, the best agitation speed is 400 rpm, and increasing the speed further cannot make the mixture more homogenous and buildup occurred above the autoclave. The calculated critical suspension speed is 406 rpm, which is slightly lower than that obtained from the empirical formula. The gas phase is mainly concentrated in the vortex area above the blade. When the gas phase is in a completely dispersed state (N = 300 rpm), the average residence time of the bubbles is 5.66 s.
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