Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
This work’s main objective is to investigate the thermal behavior of a tetra-ferrite-based nanofluid model under four physical controls. The tetra-nanofluid contains Fe3O4, CoFe2O4, NiZnFe2O4, and MnZnFe2O4 tetra-nanoparticles over a porous surface using ethylene and water (50%–50%) as the base fluid. The fundamental constitutive models are reduced nonlinear ordinary differential equations using appropriate transformative functions. The resulting set of governing equations are found using the Runge–Kutta algorithm. The impacts of critical quantities on the heat transfer, shear factor, and Nusselt number are illustrated through graphs and numerical data. It is noticed that when the concentration of nanoparticles is from 0.1% to 0.6%, the thermal conductivity varies from 102.661% to 116.706% for nanofluid (NF), 108.893% to 140.384% for hybrid nanofluid, and 117.994% to 195.794% for tetra-nanofluid (Tet.NF), which played a crucial role in the temperature performance of the fluidic system. Furthermore, the velocity depreciated against ϕ1 = 1%, 2%, 3%, 4%, 5%, 6%, and 7%. The Forchheimer effects Fr = 1.0, 2.0, 3.0, 4.0, Q = 0.1, 0.4, 0.7, 1.0, and Rd = 0.1, 0.2, 0.3, 0.4 enhanced the temperature of all types of NFs, while the stretching parameter S = 0.01, 0.08, 0.15, 0.22 reduced it. The results would benefit the researchers about the prediction of the parametric ranges and nanoparticle concentration to acquire the heat transfer results for practical applications, particularly in applied thermal engineering.
This work’s main objective is to investigate the thermal behavior of a tetra-ferrite-based nanofluid model under four physical controls. The tetra-nanofluid contains Fe3O4, CoFe2O4, NiZnFe2O4, and MnZnFe2O4 tetra-nanoparticles over a porous surface using ethylene and water (50%–50%) as the base fluid. The fundamental constitutive models are reduced nonlinear ordinary differential equations using appropriate transformative functions. The resulting set of governing equations are found using the Runge–Kutta algorithm. The impacts of critical quantities on the heat transfer, shear factor, and Nusselt number are illustrated through graphs and numerical data. It is noticed that when the concentration of nanoparticles is from 0.1% to 0.6%, the thermal conductivity varies from 102.661% to 116.706% for nanofluid (NF), 108.893% to 140.384% for hybrid nanofluid, and 117.994% to 195.794% for tetra-nanofluid (Tet.NF), which played a crucial role in the temperature performance of the fluidic system. Furthermore, the velocity depreciated against ϕ1 = 1%, 2%, 3%, 4%, 5%, 6%, and 7%. The Forchheimer effects Fr = 1.0, 2.0, 3.0, 4.0, Q = 0.1, 0.4, 0.7, 1.0, and Rd = 0.1, 0.2, 0.3, 0.4 enhanced the temperature of all types of NFs, while the stretching parameter S = 0.01, 0.08, 0.15, 0.22 reduced it. The results would benefit the researchers about the prediction of the parametric ranges and nanoparticle concentration to acquire the heat transfer results for practical applications, particularly in applied thermal engineering.
Transport properties of hydrocarbon liquid-based nanofluids in non-Darcy media have key significance in chemical, thermal and mechanical engineering. Therefore, the key focus of this research is to investigate the transport mechanism in nanofluid using Koo–Kleinstreuer–Li (KKL) thermal conductivity model in non-Darcy media under squeezing and permeable effects. The functional fluid is a homogenous mixture of Cu and kerosene. The problem formation is carried out via nanofluid-enhanced properties and similarity rules. Then numerical scheme was endorsed for the results analysis under increasing physical ranges. It is observed that the velocity [Formula: see text] increased when the values of [Formula: see text] vary from 1.0 to 4.0. However, quick particles movement is noticed for [Formula: see text] for 1.0–4.0 and [Formula: see text]1.0 to [Formula: see text]4.0. Further, the thermal process in Cu/kerosene depreciates for [Formula: see text], 1.0, 1.5, 2.0, [Formula: see text], 4, 6, 8 and [Formula: see text], [Formula: see text]4.0, [Formula: see text]6.0, [Formula: see text]8.0, respectively. The stronger permeability of the lower plate highly reduced the fluid movement and depreciation in the movement can be optimized when the fluid sucks from the channel through the lower plate.
The applications of nanofluids frequently occur in thermal insulation, cooling of electronic instruments, chemical engineering and to control the heat transfer during many experimental setups, interaction of nanoparticles with water for plants growth, crop improvement, crop protection, plant biology and biological sciences. Therefore, this research emphasis on the performance of radiated γAl2O3/H2O by adding the influential physical constraints (momentum slip and Hall current). The governing model for the flow through a disk with slippery surface is transformed into the final version via necessary mathematical operations and analyzed the problem numerically. Further, the thermal conductivity is computed using Effective Prandtl Number Model (EPNM) by taking nanoparticles amount up to 0.06%. After careful analysis of the problem, it is examined that when Al2O3 nanoparticles amount added in the range of 0.01%-0.06% then EPN increased from 100.398% to 102.636%, density from 100.298% to 101.786% and dynamic viscosity from 100.742% to 104.823%, respectively. Moreover, the electrical and thermal conductivities varied from 100.3% to 101.811% to 101.65%. The moving dynamics of Al2O3/water can be increased or controlled for [Formula: see text] and [Formula: see text], respectively. The Hall index n from 1.0, 3.0, 5.0, 7.0 strongly opposed the velocity and unsteadiness number slightly favor it. Further, the heat transport rate of Al2O3/water improved from 1.05371 to 1.41891 and the shear drag enhanced absolutely from [Formula: see text] to [Formula: see text] against the high nanoparticles amount.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.