Scientific exploring of Marangoni convection in stagnation point flow of blood-based carbon nanotubes nanofluid over an unsteady stretching surface
This study examines Marangoni convection in blood-based carbon nanotubes nanofluid's stagnation point flow over a time-dependent stretching surface. This study is inspired by the emerging importance of nanofluids in a variety of scientific and technical fields due to their unique and varied use...
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my.uniten.dspace-339712024-10-14T11:17:33Z Scientific exploring of Marangoni convection in stagnation point flow of blood-based carbon nanotubes nanofluid over an unsteady stretching surface Rehman A. Khan D. Jan R. Aloqaily A. Mlaiki N. 57210205189 57200723381 57205596279 58066729700 57189349648 CNTs nanofluid Homotopy asymptotic method Stretching surface Blood Drug delivery Friction Heat convection Magnetic resonance imaging Nanofluidics Nanoparticles Nonlinear equations Ordinary differential equations Partial differential equations Prandtl number Reynolds number Single-walled carbon nanotubes (SWCN) Skin friction Asymptotic method CNT nanofluid Homotopies Homotopy asymptotic method Marangoni convection Nanofluids Skin friction coefficient Stagnation-point flow Stretching surface Time dependent Nusselt number This study examines Marangoni convection in blood-based carbon nanotubes nanofluid's stagnation point flow over a time-dependent stretching surface. This study is inspired by the emerging importance of nanofluids in a variety of scientific and technical fields due to their unique and varied uses and effective thermal activities. Some examples of potential applications of these fluids include cancer treatment, magnetic refrigeration, drug delivery, and magnetic resonance imaging. Two types of nanoparticles are considered name is single wall carbon nanotube and multi wall carbon nanotube blood is takin as base fluid. Nonlinear partial differential equations are used to simulate the specified flow issue using momentum and energy conservation principles. Using a similarity transformation, the resultant is transformed into nonlinear with reduced dimensions. The relations for velocity profile and temperature distribution are calculated from the developed nonlinear ordinary differential equation by using an approximate analytical technique called the homotopy asymptotic method. Subsequently, these equations are implemented and executed within Mathematica software. The investigation focuses on significant outcomes such as momentum filed, energy filed, Skin friction coefficients, and Nusselt number. Graphs are used to interpret the effects of several factors, including the Marangoni parameter, nanoparticle volume friction, stretching parameter, slip parameter, and Prandtl number. The behavior of Nusselt's number and skin friction coefficient was also checked with the help of graphs and tables. The convergence of the solutions is checked with the help of auxiliary functions as well. � 2023 Final 2024-10-14T03:17:33Z 2024-10-14T03:17:33Z 2023 Article 10.1016/j.ijft.2023.100470 2-s2.0-85172880173 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172880173&doi=10.1016%2fj.ijft.2023.100470&partnerID=40&md5=38ade4ea394c73c5c8188fdee1338311 https://irepository.uniten.edu.my/handle/123456789/33971 20 100470 All Open Access Gold Open Access Elsevier B.V. Scopus |
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CNTs nanofluid Homotopy asymptotic method Stretching surface Blood Drug delivery Friction Heat convection Magnetic resonance imaging Nanofluidics Nanoparticles Nonlinear equations Ordinary differential equations Partial differential equations Prandtl number Reynolds number Single-walled carbon nanotubes (SWCN) Skin friction Asymptotic method CNT nanofluid Homotopies Homotopy asymptotic method Marangoni convection Nanofluids Skin friction coefficient Stagnation-point flow Stretching surface Time dependent Nusselt number |
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CNTs nanofluid Homotopy asymptotic method Stretching surface Blood Drug delivery Friction Heat convection Magnetic resonance imaging Nanofluidics Nanoparticles Nonlinear equations Ordinary differential equations Partial differential equations Prandtl number Reynolds number Single-walled carbon nanotubes (SWCN) Skin friction Asymptotic method CNT nanofluid Homotopies Homotopy asymptotic method Marangoni convection Nanofluids Skin friction coefficient Stagnation-point flow Stretching surface Time dependent Nusselt number Rehman A. Khan D. Jan R. Aloqaily A. Mlaiki N. Scientific exploring of Marangoni convection in stagnation point flow of blood-based carbon nanotubes nanofluid over an unsteady stretching surface |
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This study examines Marangoni convection in blood-based carbon nanotubes nanofluid's stagnation point flow over a time-dependent stretching surface. This study is inspired by the emerging importance of nanofluids in a variety of scientific and technical fields due to their unique and varied uses and effective thermal activities. Some examples of potential applications of these fluids include cancer treatment, magnetic refrigeration, drug delivery, and magnetic resonance imaging. Two types of nanoparticles are considered name is single wall carbon nanotube and multi wall carbon nanotube blood is takin as base fluid. Nonlinear partial differential equations are used to simulate the specified flow issue using momentum and energy conservation principles. Using a similarity transformation, the resultant is transformed into nonlinear with reduced dimensions. The relations for velocity profile and temperature distribution are calculated from the developed nonlinear ordinary differential equation by using an approximate analytical technique called the homotopy asymptotic method. Subsequently, these equations are implemented and executed within Mathematica software. The investigation focuses on significant outcomes such as momentum filed, energy filed, Skin friction coefficients, and Nusselt number. Graphs are used to interpret the effects of several factors, including the Marangoni parameter, nanoparticle volume friction, stretching parameter, slip parameter, and Prandtl number. The behavior of Nusselt's number and skin friction coefficient was also checked with the help of graphs and tables. The convergence of the solutions is checked with the help of auxiliary functions as well. � 2023 |
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57210205189 Rehman A. Khan D. Jan R. Aloqaily A. Mlaiki N. |
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Rehman A. Khan D. Jan R. Aloqaily A. Mlaiki N. |
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Rehman A. |
title |
Scientific exploring of Marangoni convection in stagnation point flow of blood-based carbon nanotubes nanofluid over an unsteady stretching surface |
title_short |
Scientific exploring of Marangoni convection in stagnation point flow of blood-based carbon nanotubes nanofluid over an unsteady stretching surface |
title_full |
Scientific exploring of Marangoni convection in stagnation point flow of blood-based carbon nanotubes nanofluid over an unsteady stretching surface |
title_fullStr |
Scientific exploring of Marangoni convection in stagnation point flow of blood-based carbon nanotubes nanofluid over an unsteady stretching surface |
title_full_unstemmed |
Scientific exploring of Marangoni convection in stagnation point flow of blood-based carbon nanotubes nanofluid over an unsteady stretching surface |
title_sort |
scientific exploring of marangoni convection in stagnation point flow of blood-based carbon nanotubes nanofluid over an unsteady stretching surface |
publisher |
Elsevier B.V. |
publishDate |
2024 |
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1814061097033924608 |
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13.235796 |