Tayeb Naas Toufik, Hossain Shakhawat, Khan Abid Hossain, Mostefa Telha, Kim Kwang-Yong
Gas Turbine Joint Research Team, University of Djelfa, Djelfa 17000, Algeria.
Department of Industrial and Production Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh.
Micromachines (Basel). 2022 Jun 11;13(6):933. doi: 10.3390/mi13060933.
Three-dimensional numerical investigations of a novel passive micromixer were carried out to analyze the hydrodynamic and thermal behaviors of Nano-Non-Newtonian fluids. Mass and heat transfer characteristics of two heated fluids have been investigated to understand the quantitative and qualitative fluid faction distributions with temperature homogenization. The effect of fluid behavior and different AlO nanoparticles concentrations on the pressure drop and thermal mixing performances were studied for different Reynolds number (from 0.1 to 25). The performance improvement simulation was conducted in intervals of various Nanoparticles concentrations (φ = 0 to 5%) with Power-law index (n) using CFD. The proposed micromixer displayed a mixing energy cost of 50-60 comparable to that achieved for a recent micromixer (2021y) in terms of fluid homogenization. The analysis exhibited that for high nanofluid concentrations, having a strong chaotic flow enhances significantly the hydrodynamic and thermal performances for all Reynolds numbers. The visualization of vortex core region of mass fraction and path lines presents that the proposed design exhibits a rapid thermal mixing rate that tends to 0.99%, and a mass fraction mixing rate of more than 0.93% with very low pressure losses, thus the proposed micromixer can be utilized to enhance homogenization in different Nano-Non-Newtonian mechanism with minimum energy.
对一种新型无源微混合器进行了三维数值研究,以分析纳米非牛顿流体的流体动力学和热行为。研究了两种加热流体的质量和传热特性,以了解温度均匀化时流体定量和定性的分布情况。针对不同的雷诺数(从0.1到25),研究了流体行为和不同浓度的AlO纳米颗粒对压降和热混合性能的影响。使用计算流体力学(CFD),以幂律指数(n)在各种纳米颗粒浓度区间(φ = 0至5%)进行了性能改进模拟。就流体均匀化而言,所提出的微混合器显示出50 - 60的混合能量成本,与最近的一种微混合器(2021y)相当。分析表明,对于高浓度纳米流体,强混沌流显著提高了所有雷诺数下的流体动力学和热性能。质量分数涡核区域和流线的可视化显示,所提出的设计呈现出快速的热混合速率,趋于0.99%,质量分数混合速率超过0.93%,且压力损失非常低,因此所提出的微混合器可用于以最小能量增强不同纳米非牛顿机制中的均匀化。