Noranuar, Wan Nura’in Nabilah and Mohamad, Ahmad Qushairi and Lim, Yeou Jiann and Shafie, Sharidan (2023) Heat transfer enhancement of convective Casson nanofluid flow by CNTs over exponentially accelerated plate. MATEMATIKA, 39 (3). pp. 263-279. ISSN 0127-8274
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Official URL: http://dx.doi.org/10.11113/matematika.v39.n3.1509
Abstract
Carbon nanotubes (CNTs) nanofluids are gaining increased popularity among researchers due to their outstanding thermal properties, leading to numerous promising industrial applications. Analytical solutions discovered in the study of CNTs nanofluids, combined with a Casson-type fluid model, are extremely limited. Therefore, a study on the heat transfer analysis of an unsteady and incompressible Casson carbon nanofluid flow is conducted. Human blood-based single-walled carbon nanotubes (SWCNTs) and human blood-based multi-walled carbon nanotubes (MWCNTs) are considered as nanofluids that move beyond an exponentially accelerated vertical plate. A set of dimensional momentum and energy equations, along with their initial and exponentially accelerated boundary conditions, is employed to represent the problem. The transformation of these equations to the dimensionless expression is achieved by using suitable dimensionless variables. The resulting equations are then tackled using Laplace transformation to acquire the analytical solution for temperature and velocity. Figures and tables are produced for a further analysis of temperature and velocity characteristics. The study shows that an increase in nanoparticle volume fraction enhances nanofluid flow and heat transmission, proving highly beneficial for cancer treatment. However, the flow is retarded due to the increment of Casson parameter values, while an enhancement is observed with a superior accelerating parameter.
Item Type: | Article |
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Uncontrolled Keywords: | Casson nanofluid, carbon nanotubes, exponentially accelerated plate, exact solution, Laplace transform |
Subjects: | Q Science > QA Mathematics |
Divisions: | Science |
ID Code: | 105446 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 30 Apr 2024 07:19 |
Last Modified: | 30 Apr 2024 07:19 |
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