Yazar "Jawad, Muhammad" seçeneğine göre listele

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    Characteristics of heat transportation in MHD flow of chemical reactive micropolar nanofluid with moving slip conditions across stagnation points
    (Elsevier, 2024) Jawad, Muhammad; Khalifa, Hamiden Abd El-Wahed; Shaaban, Abeer A.; Akgul, Ali; Riaz, Muhammad Bilal; Sadiq, Naeem
    In current study, the steady electrically conducting flow of micropolar nanofluid past a porous stretched surface across stagnation points is investigated. For motivation of problem, the impressions of the nonlinear thermal radiation and convectively heated have been analyzed. In additions, the influence of thermophoresis and heat transfer are the part of this study. The governing firm of PDEs are converted to a system of nonlinear and coupled ODEs using the similarity approach. Moreover, the resulting problem is numerically integrated with the aid of shooting approach by utilizing the bvp4c programmer of MATLAB. The numerical outcomes are calculated using various physical parameter values and contrasted with previously published results. Numerical values of the physical quantities like velocity, micropolar rotation, temperature and concentration profile for involving parameters such as Prandtl number Pr, radiation R, slip parameter alpha, thermophoresis Nt, suction/injection velocity fw, Brownian motion Nb, magnetic parameter M and Lewis number Le are also computed and deliberated in this consideration.
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    Heat transfer innovation of engine oil conveying SWCNTs-MWCNTs-TiO2 nanoparticles embedded in a porous stretching cylinder
    (Nature Portfolio, 2024) Ramasekhar, Gunisetty; Divya, A.; Jakeer, Shaik; Reddy, S. R. R.; Algehyne, Ebrahem A.; Jawad, Muhammad; Akguel, Ali
    The influence of boundary layer flow of heat transfer analysis on hybrid nanofluid across an extended cylinder is the main focus of the current research. In addition, the impressions of magnetohydrodynamic, porous medium and thermal radiation are part of this investigation. Arrogate similarity variables are employed to transform the governing modelled partial differential equations into a couple of highly nonlinear ordinary differential equations. A numerical approach based on the BVP Midrich scheme in MAPLE solver is employed for solution of the set of resulting ordinary differential equations and obtained results are compared with existing literature. The effect of active important physical parameters like Magnetic Field, Porosity parameter, Eckert number, Prandtl number and thermal radiation parameters on dimensionless velocity and energy fields are employed via graphs and tables. The velocity profile decreased by about 65% when the magnetic field parameter values increases from 0.5 to 1.5. On the other hand increased by 70% on energy profile. The energy profile enhanced by about 62% when the Radiation parameter values increases from 1.0 < Rd < 3.0. The current model may be applicable in real life practical implications of employing Engine oil-SWCNTs-MWCNTs-TiO2 nanofluids on cylinders encompass enhanced heat transfer efficiency, and extended component lifespan, energy savings, and environmental benefits. This kind of theoretical analysis may be used in daily life applications, such as engineering and automobile industries.
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    Numerical simulation of Buongiorno's model on Maxwell nanofluid with heat and mass transfer using Arrhenius energy: a thermal engineering implementation
    (Springer, 2024) Jawad, Muhammad; Alam, Mubeen; Hameed, Maria Kirn; Akgul, Ali
    The thermal features of nanoparticles owing to progressive mechanisms are a fascinating phenomenon due to their applications in energy production, cooling procedures, heat transmission devices. Therefore, in the present study, the magnetohydrodynamic combined convection of Maxwell nanofluid and characteristics of heat transport in the presence of thermal radiation with a nonlinear relationship for modifications in the energy equation have been examined. Moreover, the features of activation energy in the presence of swimming microorganisms are considered. For motivation, the influence of bioconvection, magnetic field, and thermophoresis with convective boundary conditions are part of this investigation. The governing PDEs connected with momentum, energy, concentration, and density are converted into ODEs by using similarity functions. A transformed, dimensionless, nonlinear set of ODEs is tracked via a shooting scheme. The numerical results of prominent parameters have been analyzed in the form of graphs and tables using the computational software MATLAB. A significance improvement in the velocity profile is noted for the increasing value of Maxwell parameter. With rise of mixed convection parameter, both energy and volumetric friction field deteriorated. The determination of Biot number that is associated with the coefficient of heat transfer is more effective for growing the temperature and volumetric friction distribution. These conclusions may be appreciated in improving the efficiency of heat transfer strategies.
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    Thermal radiative mixed convection flow of MHD Maxwell nanofluid: Implementation of buongiorno's model
    (Elsevier, 2022) Safdar, Rabia; Jawad, Muhammad; Hussain, Sajjad; Imran, Muhammad; Akgul, Ali; Jamshed, Wasim
    A mathematical model for steady MHD Maxwell nanofluid flow over the porous stretching sheet with gyrotactic microorganisms is discussed theoretically and numerically. We use the theory of the microorganism to stabilize the suspended nanoparticles, due to bio convection, induced by the impacts of buoyancy forces. Similarity transformations used to transform the mathematical PDEs of non-linear nature i.e., continuity equation, velocity, concentration, density, and energy of motile micro-organisms into the system of non-linear ordinary differential equations. Mathematica 11used to acquire the solutions for the mathematical model. Boundary conditions together with non-zero value of mass flux is imposed on the given problem. Valuations are performed graphically for several protuberant parameters like Hartman number, bio convection, Peclet number, Deborah number, thermophoresis diffusion, Rayleigh number, Brownian motion, and mixed convection parameters. These different parameters are employed on non-dimension velocity function, temperature function, concentration function and density of the motile microorganisms and studied numerically in detail. It is observed that by increasing the value of bioconvection parameter as well as Peclet number, the microorganism field diminishes. Graphical diagrams are showing the consistency of the latest results.