Comparison of 2D and 3D Modelling Applied to Single Phase Flow of Nanofluid through Corrugated Channels

Abstract

Nanofluid flow through non-corrugated and corrugated channels is studied using a two-dimensional (2D) and three dimensions (3D) numerical simplification. Due to the high computational costs of a full 3D grid model, the 2D approach offer a more practical advantage. However, little information about its validity is available. The aim of this study is to explore to which extent 2D simulations can describe the flow within a 3D geometry, and to investigate how effective the commonly used 2D numerical simplification is in nanofluid flow through non-corrugated and corrugated channels. A case study has implemented with 2D and 3D mesh models to compare their results taking into consideration the analysis of heat transfer and pressure drop. A simulation has been carried out using Ansys fluent software to compare the results for different Reynolds Numbers ranges from 10000 to 30000 and different geometries non-corrugated, semicircle and rectangular channels. The results show that for non-corrugated channel there is a slight difference between 2D and 3D results for all Reynolds number ranges, while for both semicircle and rectangular corrugated channels, the difference becomes larger for high Reynold’s Number.

Numerical Simulation of Graphene-Nanoplatelet Nanofluid Convection in Millimeter-Sized Automotive Radiator

“…The flow of nanofluid in the tube is assumed to be an incompressible laminar flow and the radiation heat transfer is assumed to be negligible. The single-phase fluid approach is employed as the low nanoparticles concentration in the basefluid can be considered as a continuous media [28][29][30]. Figure 2 depicts the dimension of the present millimeter-sized radiator with a hydraulic diameter of Dh = 3.6044 mm and tube length of L = 394 mm.…”

Impact of Geometrical Parameters on Heat Transfer Characteristics of SiO2-Water Nanofluid Flow through Rectangular Corrugated Channels

“…An empirical correlation that considered Brownian motion was utilised to determine effective thermal conductivity, as shown below [22] 𝑘 𝑒𝑓𝑓 = 𝑘 𝑠𝑡𝑎𝑡𝑖𝑐 + 𝑘 𝐵𝑟𝑜𝑤𝑛𝑖𝑎𝑛 (21)…”