Inspection of numerical and fractional CMC and water-based hybrid nanofluid with power law and non-singular kernel: A fractal approach

被引:0
|
作者
Abed, Ahmed M. [1 ,2 ]
Shabbir, Hamna [3 ]
Nigar, Niat [3 ]
Ali, Ali Hasan [4 ,5 ,6 ,7 ]
Raza, Ali [3 ,8 ]
机构
[1] Department of the Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al Kharj,16273, Saudi Arabia
[2] Industrial Engineering Department, Zagazig University, Zagazig,44519, Egypt
[3] Department of Mathematics, Minhaj University Lahore, Pakistan
[4] Department of Mathematics, College of Education for Pure Sciences, University of Basrah, Basrah,61001, Iraq
[5] Institute of the Mathematics, University of Debrecen, Pf. 400, Debrecen,H-4002, Hungary
[6] Department of Business Management, Al-imam University College, Balad,34011, Iraq
[7] College of Engineering Technology, National University of Science and Technology, Dhi Qar,64001, Iraq
[8] Department of Mathematics, University of Engineering and technology Lahore, Pakistan
来源
关键词
Heat transfer - Laplace transforms - Layered semiconductors - Molybdenum disulfide - Nanofluidics - Nanoparticles - Solar energy;
D O I
10.1016/j.ijft.2024.100772
中图分类号
学科分类号
摘要
A number of thermal devices might benefit from the usage of nanofluids in solar power. In this research, the idea of MHD mixed convective hybrid nanofluids including grapheme oxide (GO) and molybdenum disulfide (MoS2) nanoparticles with water (H2O) and Carboxymethyl Cellulose (CMC) as base fluids in a perpendicular channel to analyze the heat transfer of the flowing fluid with the help of recent definition of fractional derivatives namely Fractal fractional derivative. The problem is expressed as PDEs with beginning and boundary conditions, and it is analyzed analytically using the Laplace transform method. The velocity, temperature, and concentration measurements are also shown in series for their appropriate Laplace inverse. Delays in parameters like nanoparticle volume sharing rate have a significant influence on these techniques. Skin friction, Nusselt, and Sherwood numbers are computed for the longitudinal channel's left and right walls, and the necessary numerical results are presented in tabular format. As a result, it is discovered that the rate of heat transfer reduces as the volume percentage of nanoparticles and the Fractal time fractional value rise. Furthermore, when comparing nanofluids, water-based (H2O + GO + MoS2) hybrid nanofluids have a greater influence on governed model than (CMC + GO + MoS2)-based hybrid nanofluids. © 2024 The Author(s)
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