Mathematical model of carbon nanotube water-based hybrid nanofluid on a stretched sheet / Raihanah Rosle

Rosle, Raihanah (2023) Mathematical model of carbon nanotube water-based hybrid nanofluid on a stretched sheet / Raihanah Rosle. Degree thesis, Universiti Teknologi MARA, Terengganu.

Abstract

Hybrid nanofluids are fluids that comprise of two or more different nanoparticles and are added into a base fluid. Those fluids are selected because of its ability to improve the energy transferring as well as reducing stress properties. This study considers carbon nanotube and copper are chosen as nanoparticles and water as base fluid. This study focuses on the mathematical model of carbon nanotube water-based hybrid nanofluid on a stretched sheet. The partial differential equations (PDEs) which consist of continuity, momentum and energy equations are transformed to ordinary differential equations (ODEs) by applying the similarity transformation variables. The purpose of transforming these equations is to reduce the complexity of the PDEs. Then, Maple software is used to encode the obtained ODEs using the Runge-Kutta Fehlberg Fourth Fifth (RKF45) method. The accuracy of the results obtained from this study is verified by comparing the results with previous research papers. In results and discussion part, several parameters which are heat source/sink parameter, stretching parameter, conjugate parameter, volume fraction of nanoparticles and Prandtl number are discussed over the velocity and temperature profiles.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Rosle, Raihanah
2021156251
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Mohd Zokri, Syazwani
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analysis > Difference equations. Functional equations. Delay differential equations. Integral equations
Divisions: Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus
Programme: Bachelor of Science (Hons.) Mathematical Modelling and Analytics
Keywords: Hybrid Nanofluids, Partial Differential Equations (PDEs)
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/97872
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