Study on fluid flow and heat transfer in fluid channel filled with KKL model-based nanofluid during natural convection using FVM

Abstract

Purpose A comprehensive study on the fluid flow and heat transfer in a nanofluid channel is carried out. The configuration of the channel is as like as quarter channel. The channel is filled with CuO–water nanofluid. Design/methodology/approach The Koo–Kleinstreuer–Li model is used to estimate the dynamic viscosity and consider the Brownian motion. On the other hand, the influence of nanoparticles’ shapes on the heat transfer rate is considered in the simulations. The channel is included with the injection pipes which are modeled as active bodies with constant temperature in the 2D simulations. Findings The Rayleigh number, nanoparticle concentration and the thermal arrangements of internal pipes are the governing parameters. The hydrothermal aspects of natural convection are investigation using different approaches such as average Nusselt number, total entropy generation, Bejan number, streamlines, temperature fields, local heat transfer irreversibility, local fluid friction irreversibility and heatlines. Originality/value The originality of this work is investigation of fluid flow, heat transfer, entropy generation and heatline visualization within a nanofluid-filled channel using a finite volume method.

Shape-Factor Impact on a Mass-Based Hybrid Nanofluid Model for Homann Stagnation-Point Flow in Porous Media

“…The KKL model was used to estimate the dynamic viscosity of nanoparticles based on their shape in the simulation. In nanofluid-filled channels, Rao et al [ 26 ] considered fluid flow, heat transfer, entropy generation, and hot-wire visualization using the finite volume method. A Koo–Kleinstreuer–Li model was used to estimate dynamic viscosity, and Brownian motion was taken into account.…”

Revisit on energy flow: accurate predictions and analysis of heatlines for thermal convection within enclosures of various configurations

“…Energy flow visualization is important for understanding of heat flow within enclosures. While heat flow visualization cannot be carried out via experimental approaches, numerical visualization tool via “heatlines,” first proposed by Kimura and Bejan (1983), has been successfully used to visualize heat flow for various applications of thermal convection within enclosures (Al-Jethelah et al , 2018; Anandalakshmi and Basak, 2013; Biswal and Basak, 2017; Basak et al , 2018; Das and Basak, 2016; Dash, 1996; Ferhi and Djebali, 2020; Hooshmand et al , 2019; Islam et al , 2021; Kaluri and Basak, 2010; Khakrah et al , 2019; Liu et al , 2019; Lukose and Basak, 2020; Manna et al , 2021; Priam and Nasrin, 2022; Rahimi et al , 2019; Rao et al , 2019; Salari et al , 2018; Wang et al , 2020; Zhao et al , 2007). Heat flow trajectories via heatlines follow a few set of rules (Basak et al , 2018).…”

Coupling of BGK lattice Boltzmann method and experimental rheological/thermal behavior of Al2O3–oil nanolubricant for modeling of a finned thermal storage

“…Several applications are identified for the free convection problem such as thermal storage (Shariatifard et al , 2021), furnaces (Hejri et al , 2021), passive cooling (KhakRah et al , 2019), drying system (Rao et al , 2019), solar collector (Hooshmand et al , 2019), cooling of electronic devices (Hejri and Malekshah, 2021) and so on. In this regard, numerous numerical and experimental investigations are carried out to analyze all aspects of the natural convection problem in the cavities.…”