MHD Casson flow across a stretched surface in a porous material: a numerical study DOI Creative Commons

Sadia Irshad,

Shah Jahan, José Machado

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(1)

Published: Nov. 9, 2024

Abstract In this study, we examine the nature of magnetohydrodynamic (MHD) Casson flow fluid across a stretched surface in porous material. It studies how behaviour fluids is affected by number variables, including thermal radiation, chemical processes, Joule heating, and viscosity dissipation. The Keller box strategy, based on finite difference method (FDM), used to tackle complex numerical problem. Graphical representations are show effects different system parts. Comprehensive tables displaying transfer mass, heat, drag rates given for your convenience. study focuses particle motion transforms kinetic energy into heat. Increased Brownian leads higher temperature profile reduced concentration profile. Thicker profiles created increased Lewis ( $$Le$$ Le ) values reactions, resulting changes mass fluids. This in-depth investigation complicated interactions between various variables they influence fluid's under study.

Language: Английский

Magnetohydrodynamic flow of carbon nanotubes and heat transfer over a moving thin Needle: A numerical and research surface methodology DOI Creative Commons
Nazrul Azlan Abdul Samat, Norfifah Bachok, Norihan Md Arifin

et al.

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: 15(8), P. 102833 - 102833

Published: April 26, 2024

A steady flow of carbon nanotubes (CNTs) nanofluids and heat transfer past a horizontally moving thin needle are investigated under the influence magnetohydrodynamic (MHD). Single-walled CNTs (SWCNTs) multi-walled (MWCNTs) two main nanoparticles that represent CNTs. The slender moves relative to with parallel velocity in either same or opposite direction. Using similarity method, system partial differential equations (PDEs) subject boundary conditions is converted into nondimensional ordinary (ODEs). ODEs then reduced first-order solved using MATLAB R2022b bvp4c solver. On numerical scale, impacts varying potential parameters, such as magnetic, CNTs' volume fraction, on temperature profiles, skin friction, coefficients investigated. Utilising response surface methodology (RSM), optimisation based experimentation physical quantities performed. outcomes depicted tables graphical approach. Results indicate existence dual solutions when travels Moreover, increase magnetic parameter by 100% will both friction nearly 30% 4%, respectively. Furthermore, value fraction increases 100%, rate substantially almost 33%. However, doubling size can significantly reduce coefficient 32%. RSM results demonstrate maximal generated at highest values parameters lowest parameter. Findings also show SWCTNs superior MWCNTs coefficients. When comparing performance water kerosene, we find less effective base fluid than kerosene.

Language: Английский

Citations

5
Heat Transfer in Semi-Permeable Channels Using Ternary Hybrid Nanofluids: Effects of Melting and Radiation DOI Creative Commons

Rajapriyanka Eswaran,

M. Senthil Kumar

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105031 - 105031

Published: April 1, 2025

Language: Английский

Citations

0
Hybrid carbon nanotubes flow and heat transfer over a vertical thin needle with suction effect: A numerical and optimisation analysis DOI
Nazrul Azlan Abdul Samat, Norfifah Bachok, Norihan Md Arifin

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 156, P. 107702 - 107702

Published: June 15, 2024

Language: Английский

Citations

3
Optimization of Heat Transfer on Carbon Nanotubes With Exponential Heat Generation and Nonlinear Radiation in Sakiadis and Blasius Flows Over Curved Surface DOI Open Access

K. R. Roopa,

M. V. Govindaraju,

P. A. Dinesh

et al.

Heat Transfer, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

ABSTRACT Engineers and researchers in the field of thermal analysis are searching for novel approaches to boost their performance by enhancing characteristics electrical equipment. Non‐Newtonian fluids used technical industrial settings owing high conductivity. In connection with this, present study investigates fluid flow heat transmission a hybrid nanomaterial (carbon nanotubes ferric oxide) over curved surface. The originality this is related examining impact generation nonlinear radiation convective boundary conditions Sakiadis (SF) Blasius (BF). system mathematical relations partial differential equation form changed an ordinary (ODE) using appropriate variables. indeterminate ODEs were solved ODE analyzer, which accessible computer software Maple. graphs demonstrate importance critical factors concerning velocity temperature fields. SF has thinner layer than BF, results more pronounced drop. effects altering physical parameters on Nusselt number optimized through response surface methodology BF SF. affected effects, but shows increased sensitivity wall gradients, indicating distinct optimization each scenario. every situation, nanofluid multiwall carbon oxide exhibits excellent performance. To validate chosen numerical approach, tabular description provided generate comparison.

Language: Английский

Citations

0
Optimization of heat transfer characteristics of Casson hybrid nanofluid flow over a porous exponentially elongating surface using RSM approach DOI

K. Madiha Takreem,

B. Venkateswarlu, A. K. Misra

et al.

Journal of Thermal Analysis and Calorimetry, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 31, 2024

Language: Английский

Citations

2
MHD Casson flow across a stretched surface in a porous material: a numerical study DOI Creative Commons

Sadia Irshad,

Shah Jahan, José Machado

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(1)

Published: Nov. 9, 2024

Abstract In this study, we examine the nature of magnetohydrodynamic (MHD) Casson flow fluid across a stretched surface in porous material. It studies how behaviour fluids is affected by number variables, including thermal radiation, chemical processes, Joule heating, and viscosity dissipation. The Keller box strategy, based on finite difference method (FDM), used to tackle complex numerical problem. Graphical representations are show effects different system parts. Comprehensive tables displaying transfer mass, heat, drag rates given for your convenience. study focuses particle motion transforms kinetic energy into heat. Increased Brownian leads higher temperature profile reduced concentration profile. Thicker profiles created increased Lewis ( $$Le$$ Le ) values reactions, resulting changes mass fluids. This in-depth investigation complicated interactions between various variables they influence fluid's under study.

Language: Английский

Citations

1