Modeling and Multi-objective Optimization of Heat Transfer Characteristics and Pressure Drop of Nanofluids in Microtubes. Issue 21 (1st September 2021)

• Record Type: Journal Article
• Authors: Meyer, Marcel; Mehrabi, Mehdi; Meyer, Josua Petrus
• Is Part Of: Heat transfer engineering. Volume 42:Issue 21(2021)
• Page Start: 1811
• Page End: 1826
• Publication Date: 2021-09-01
• Subjects: Heat -- Transmission -- Periodicals; 621.4022
• DOI: 10.1080/01457632.2020.1826740
• Languages: English
• ISSNs: 0145-7632

Abstract

Abstract: Multi-objective optimization of nanofluids in a microchannel heat sink was conducted to determine the highest Nusselt number and the lowest pressure drop. This was done by creating a design study consisting of four nanoparticles of Al2 O3, CuO, ZnO and SiO2 with four diameters of 10, 30, 60 and 100 nm, nanoparticle volumetric concentrations of 0.001, 0.005, 0.01 and 0.05 and four base fluids of water (W), ethylene glycol (EG), W/EG (50/50) and W/EG (60/40). Every possible combination of these four input parameters created 256 design points for the numerical simulation. The outcome of the numerical simulation depended on the performance of heat transfer and pressure drop. A modified non-dominated sorting genetic algorithm was then used to determine the highest Nusselt number and the lowest pressure drop based on the numerical results of the 256 design points. The outcome of the optimization was that silicon dioxide–water (SiO2 ) nanofluid gave the optimal combination of heat transfer and pressure drop. The results also showed that the nanoparticle diameter had a small effect on the pressure drop in the microchannel heat sink and an increase in the nanoparticle volumetric concentration increased the heat transfer coefficient.