Numerical Simulation of Tilted Obstacles Effect on the Water-Al2O3 Nanofluid Heat Transfer in the Internal Flow

被引:0
作者
Bedram, Ahmad [1 ]
机构
[1] Tech & Vocat Univ TVU, Dept Mech Engn, Tehran, Iran
来源
IRANIAN JOURNAL OF CHEMISTRY & CHEMICAL ENGINEERING-INTERNATIONAL ENGLISH EDITION | 2024年 / 43卷 / 08期
关键词
Numerical simulation; Internal flow; Nanofluid; Heat transfer; Al2O3; POWER-LAW FLUIDS; THERMAL-CONDUCTIVITY; TURBULENT-FLOW; PRESSURE-DROP; NANOFLUID; CONVECTION; LAMINAR;
D O I
暂无
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this research, a novel geometry consisting of a converging-diverging channel with three tilted obstacles is proposed to enhance the heat transfer of water-Al2O3 nanofluid in internal flow. Grid independence and validation have also been performed. The range of nanofluid volume fraction and Reynolds number are 0 <= phi <= 4% and 2 <= Re <= 300 respectively. Also, the range of the obstacle length and obstacle angle are 0.1 <= L/D-in <= 0.5 and 5(o )<= theta <= 45(o) respectively. The effect of the Re, nanofluid volume fraction, length, and angle of obstacle is studied. Flow streamlines and contours of temperature, velocity, and pressure are also presented under different conditions. The results demonstrate that as the angle of the obstacle increases, the average Nusselt number increases linearly, and the highest friction factor of the system is 1.55 and occurs at the location of the last obstacle. Also, the highest Nusselt number in the system is Nu=21.8, which occurs for phi=4% at the first obstacle location. Additionally, the Nusselt number and friction factor show very little dependence on nanofluid volume fraction, with an approximately 6% difference in the average Nusselt number between phi=%4 and phi=%1. The most significant pressure drop occurs at the location of the last obstacle, where the fluid pressure decreases by 15%, 26%, and 59% for the first, second, and third obstacles, respectively. By defining the ratios of the average Nusselt number of the novel geometry to that of a plain tube (NNR) and the ratios of the friction factor of the novel geometry to that of a plain tube (FFR), it was revealed that for Re=5 and Re=100 a doubling of Reynolds number, increases NNR by %1.6 and %0.8, respectively. Also, with an increase in Reynolds number, NNR and FFR increase, and their rate of increase is much higher for Re <= 50 than for Re>50.
引用
收藏
页码:3049 / 3064
页数:16
相关论文
共 50 条
[31]   Numerical simulation of heat transfer improvement in the divertor of fusion reactors by using Al2O3 nanofluid [J].
Ashouri, Hadighe ;
Ghasemizad, Abbas ;
Sadatkiae, Seyyed Mahmoud ;
Seddighzade, Asghar .
JOURNAL OF THEORETICAL AND APPLIED PHYSICS, 2018, 12 (04) :299-308
[32]   On the role of enclosure side walls thickness and heater geometry in heat transfer enhancement of water-Al2O3 nanofluid in presence of a magnetic field [J].
Vahedi, Seyed Masoud ;
Pordanjani, Ahmad Hajatzadeh ;
Wongwises, Somchai ;
Afrand, Masoud .
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2019, 138 (01) :679-696
[33]   Numerical study of fluid flow and heat transfer for flow of Cu-Al2O3-water hybrid nanofluid in a microchannel heat sink [J].
Krishna, V. Murali ;
Kumar, M. Sandeep ;
Muthalagu, R. ;
Kumar, P. Senthil ;
Mounika, R. .
MATERIALS TODAY-PROCEEDINGS, 2022, 49 :1298-1302
[34]   A Study on Accuracy Range of Multiphase Mixture Model for Turbulent Convective Heat Transfer Enhancement Simulation of Water-Al2O3 Nanofluid [J].
Al Mahmud, Suaib ;
Ismail, Ahmad Faris ;
Bappy, Jamirul Habib ;
Noor, Wazed Ibne .
JOURNAL OF NANOFLUIDS, 2023, 12 (02) :438-447
[35]   Artificial neural network for numerical uncertainty quantification of water-al2o3 nanofluids heat transfer enhancement simulation using CFD multiphase mixture model [J].
Al Mahmud, Suaib ;
Noor, Wazed Ibne ;
Khan, Mazbahur Rahman ;
Ismail, Ahmad Faris .
NUMERICAL HEAT TRANSFER PART B-FUNDAMENTALS, 2024,
[36]   Turbulent heat transfer and flow analysis of hybrid Al2O3-CuO/water nanofluid: An experiment and CFD simulation study [J].
Zhang, Shaojie ;
Lu, Lin ;
Wen, Tao ;
Dong, Chuanshuai .
APPLIED THERMAL ENGINEERING, 2021, 188
[37]   Rod bundle thermal-hydraulics experiment with water and water-Al2O3 nanofluid for small modular reactor [J].
Bhowmik, Palash K. ;
Shamim, Jubair A. ;
Chen, Xiangyi ;
Suh, Kune Y. .
ANNALS OF NUCLEAR ENERGY, 2021, 150
[38]   An Inspection of Viscosity Models for Numerical Simulation of Natural Convection of Al2O3-Water Nanofluid with Variable Properties [J].
Hemmat Esfe, M. ;
Arani, A. A. Abbasian ;
Rezaee, M. ;
Yazdeli, R. Dehghani ;
Wongwises, Somchai .
CURRENT NANOSCIENCE, 2017, 13 (05) :449-461
[39]   Experimental study of mixed convection with water-Al2O3 nanofluid in inclined tube with uniform wall heat flux [J].
Ben Mansour, R. ;
Galanis, N. ;
Nguyen, C. T. .
INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2011, 50 (03) :403-410
[40]   Experimental and Numerical Investigation of Inlet Temperature Effect on Convective Heat Transfer of γ-Al2O3/Water Nanofluid Flows in Microtubes [J].
Karimzadehkhouei, Mehrdad ;
Sadaghiani, Abdolali Khalili ;
Motezakker, Ahmad Reza ;
Akgonul, Sarp ;
Ozbey, Arzu ;
Sendur, Kuersat ;
Menguc, M. Pinar ;
Kosar, Ali .
HEAT TRANSFER ENGINEERING, 2019, 40 (9-10) :738-752