Yazar "Hassan, Ahmed M." seçeneğine göre listele

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    A proceeding to numerical study of mathematical model of bioconvective Maxwell nanofluid flow through a porous stretching surface with nield/convective boundary constraints
    (Nature Portfolio, 2024) Imran, Muhammad; Basit, Muhammad Abdul; Yasmin, Sumeira; Khan, Shan Ali; Elagan, S. K.; Akguel, Ali; Hassan, Ahmed M.
    Nanofluids become significant in the mass and heat transfer models, especially in engineering problems. Current proceedings focused on the bioconvective Maxwell nanofluid flow passing through the permeable stretchable sheet contingent to nield boundary conditions involving effects of activation energy and thermal radiation. Various physical quantities are involved in this mechanism like magnetic field, thermophoresis, and Brownian motion. The main objective of the study is to report the heat and mass transport in the existence of motile microorganisms. In a mathematical perspective, this structured physical model is going to govern with the help of partial differential equations (PDEs). These governing PDEs are then converted into dimensionless ordinary differential equations form by utilizing appropriate similarity transformations. For numerical results, the shooting technique with 'bvp4c' built-in package of MATLAB was implemented. Computed results are then visualized graphically and discussed effects of involving physical variables on the nano-fluid flow profiles are comprehensively. From results, it has been concluded that the fluid flow velocity, temperature, concentration, and microorganism density profiles show escalation on increasing the numeric values of porosity, thermophoresis, buoyancy ratio, bioconvection Rayleigh, Peclet number parameters and decrement reported due to increasing the counts of Prandtl number, magnetic field, radiation, Brownian motion, Lewis number as evident from figures. The numerical outcomes observed by fixing the physical parameters as 0.1 < lambda < 3.0, 0.1 < M < 1.5, 0.1 < Nr < 6.0, 0.1 < Rb < 1.5, 0.1 < Nb < 6.0, 0.1 < Nt < 1.0, 2.0 < Pr < 2.9, 0.1 < Rd < 0.4 . Magnetic field and Brownian motion create retardation impact due to the liquid momentum. In tables, the numerical values of Skin friction, Nusselt number, Sherwood number, and microorganisms density number are presented and also comparison table of our computed results and already published results is included for the validation.
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    Analysis and numerical approximation of the fractional-order two-dimensional diffusion-wave equation
    (Frontiers Media Sa, 2023) Rafaqat, Kanza; Naeem, Muhammad; Akgul, Ali; Hassan, Ahmed M.; Abdullah, Farah Aini; Ali, Umair
    Non-local fractional derivatives are generally more effective in mimicking real-world phenomena and offer more precise representations of physical entities, such as the oscillation of earthquakes and the behavior of polymers. This study aims to solve the 2D fractional-order diffusion-wave equation using the Riemann-Liouville time-fractional derivative. The fractional-order diffusion-wave equation is solved using the modified implicit approach based on the Riemann-Liouville integral sense. The theoretical analysis is investigated for the suggested scheme, such as stability, consistency, and convergence, by using Fourier series analysis. The scheme is shown to be unconditionally stable, and the approximate solution is consistent and convergent to the exact result. A numerical example is provided to demonstrate that the technique is more workable and feasible.
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    Analysis of a fractional order Bovine Brucellosis disease model with discrete generalized Mittag-Leffler kernels
    (Elsevier, 2023) Farman, Muhammad; Shehzad, Aamir; Akgul, Ali; Baleanu, Dumitru; Attia, Nourhane; Hassan, Ahmed M.
    Bovine Brucellosis, a zoonotic disease, can infect cattle in tropical and subtropical areas. It remains a critical issue for both human and animal health in many parts of the world, especially those where livestock is an important source of food and income. An efficient method for monitoring the illness's increasing prevalence and developing low-cost prevention strategies for both its effects and recurrence is brucellosis disease modeling. We create a fractional-order model of Bovine Brucellosis using a discrete modified Atangana-Baleanu fractional difference operator of the Liouville-Caputo type. An analysis of the suggested system's well-posedness and a qualitative investigation are both conducted. The examination of the Volterra-type Lyapunov function for global stability is supported by the first and derivative tests. The Lipschitz condition is also used for the model in order to meet the criterion of the uniqueness of the exact solution. We created an endemic and disease-free equilibrium. Solutions are built in the discrete generalized form of the Mittag-Leffler kernel in order to analyze the effect of the fractional operator with numerical simulations and emphasize the effects of the sickness due to the many factors involved. The capacity of the suggested model to forecast an infectious disease like brucellosis can help researchers and decision-makers take preventive actions.
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    Entropy optimized Ferro-copper/blood based nanofluid flow between double stretchable disks: Application to brain dynamic
    (Elsevier, 2023) Khan, Shan Ali; Yasmin, Sumeira; Waqas, Hassan; Az-Zo'bi, Emad A.; Alhushaybari, Abdullah; Akgul, Ali; Hassan, Ahmed M.
    Researchers and scientists were inspired by the enormous reactions from industry about heat transformation enhancements due to the entropy generation. The entropy generation shows as a extremes for complex mechanisms like solid state physics, two-phase flows, electro-magnetic air conditioning, and economic evaluation of manufacturing processes, as well as biological technologies chemistry, including biochemistry. We note here that many thermal mechanisms are related to the irreversibility system. The current work focused on the entropy generation impacts in viscous magnetized mono-nanofluids flow between stretchable rotating disks. Ferro and copper are considered as nanoparticles and Blood as a base fluid. The Darcy-Forchheimer porous medium and joule heating effects are considered. For simplifying the current analysis, suitable transformation were introduced in the mathematical description to renovate the partial differential equations (PDE's) into coupled ordinary ones. To solve the resulting ODEs well-known numerical algorithm bvp4c is used in Matlab in the light of Lobatto-IIIA formula. The consequence of sundry parameters against velocity components, pressure field, temperature distribution and entropy generation are described graphically.
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    Heat transfer enhancement in engine oil based hybrid nanofluid through combustive engines: An entropy optimization approach
    (Elsevier, 2023) Afzal, Sidra; Qayyum, Mubashir; Akgul, Ali; Hassan, Ahmed M.
    Engine oil based hybrid nanofluid flow past a non-linearly stretching surface is important in solar energy applications, combustive engines, heat exchangers and many other industrial sector machinery. In this study, engine oil based hybrid nanofluid is modeled with multi-walled carbon nanotubes and copper oxide nanoparticles to enhance the heat transfer phenomena, minimize the entropy generation and to obtain a theoretical model more aligned with experimental findings. Engine oil hybrid nanofluid is modeled with non-linear thermal slip case so that a comparative study for no slip, linear slip and non-linear thermal slip is presented in a broader scenario. A variable magnetic field is applied in perpendicular direction with heat source/sink effects. Similarity analysis is conducted to obtain a non-dimensional system of ordinary differential equations. In order to solve the obtained system, a modified homotopy analysis approach is proposed with least square and Galerkin optimizers. Results are validated through mean squared residual errors and comparison with existing experimental data in literature. Analysis on results is presented through 2D plots, bar plots and pie charts. Highest percentage rate of increase in heat transfer of engine oil is obtained to be 23.75% with increase in heat source when volume fraction of both copper oxide and multi-walled carbon nanotubes is 4%. Moreover, entropy in engine oil flow is optimized till zero at 1% volume fraction of copper oxide and 3% volume fraction of multi-walled carbon nanotube in first order thermal slip case. These results are useful in enhancing various physical and engineering properties of engine oil 10W40C by adding multi-walled carbon nanotubes and copper oxide nanoparticles.
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    Numerical analysis of the fractal-fractional diffusion model of ignition in the combustion process
    (Elsevier, 2024) Partohaghighi, Mohammad; Mortezaee, Marzieh; Akguel, Ali; Hassan, Ahmed M.; Sakar, Necibullah
    The study employs the fractal-fractional operator to derive a distinct variant of the fractal-fractional diffusion equation. To address this challenge, a novel operational matrix technique (OM) is introduced, utilizing shifted Chebyshev cardinal functions (CCFs). Additionally, fundamental functions are employed to establish an OM tailored to the specific derivative in question. Through the application of these operational matrix techniques, the core equation is transformed into an algebraic system, paving the way for the resolution of the presented issue. The study showcases graphical representations of both exact and approximated solutions, accompanied by corresponding error graphs. Furthermore, comprehensive tables present the values of solutions and errors across various examples. For each test case, a comparative analysis of solutions at specific time points is also presented.
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    Numerical simulations of Darcy-forchheimer flow of radiative hybrid nanofluid with Lobatto-IIIa scheme configured by a stretching surface
    (Elsevier, 2023) Li, Wei; Farooq, Umar; Waqas, Hassan; Alharthi, Aiedh Mrisi; Fatima, Nahid; Hassan, Ahmed M.; Muhammad, Taseer
    Heat transport and energy storage continue to be major issues for manufacturers and scientists. So far, the notion of novel heat transfer fluids has been developed, namely nanofluids and hybrid nanofluids. This investigation examines thermal radiation effect on heat transfer in MHD flow using the hybrid nanofluid. It examines a hybrid nanofluid (SWCNT-Al2O3/H2H6O2-H2O and MWCNT-CuO/H2H6O2-H2O) with H2O water base fluid nature passing through a starching surface with thermal radiation, Biot number and melting phenomena. The suitable similarity transformations are used to transmute the main governing system of equation PDEs and the appropriate boundary conditions for computation with the help of well-reputed shooting technique. The graphical and numerical outcomes against dissimilar flow parameters are computed by the mathematical software MATLAB. The velocity distribution profile is decreased by growing values of the Rotation parameter and porosity parameter. The velocity profile is enhanced by increasing the values of Darcy forchheimer medium. The thermal distribution field is enhanced by rising estimations of the thermal radiation parameter and Biot number. Temperature of the fluid is increasing due to increase in thermal conductivity parameter while decreasing due to increase in Marangoni ratio parameter. The present model hybrid nanofluid of heat transmission is evaluated to see if it has higher thermal energy storage efficiency than standard nanofluids. As a result, these novel findings in heat transport might be advantageous in dealing with energy storage issues in the modern technological environment.
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    Significance of thermal density and viscous dissipation on heat and mass transfer of chemically reactive nanofluid flow along stretching sheet under magnetic field
    (Elsevier, 2023) Ullah, Zia; Abbas, Amir; El-Zahar, Essam R.; Seddek, Laila F.; Akgul, Ali; Hassan, Ahmed M.
    The main focus of the current research is to evaluate heat and mass transfer across stretchable sheet under applied magnetic field. The chemical reaction and variable density is essential for thermal behavior of nanofluid. The present study presents a careful inspection of chemical reaction, thermal density, viscous dissipation and thermophoresis on heat and mass transfer of magneto and chemically reactive nanofluid across the stretching sheet. The physical attitude of entropy and chemical reaction improvement rate in magneto nanofluid is the primary focus of the present research. By applying the proper transformation, nonlinear partial differential ex-pressions are introduced to the structure of the ordinary differential framework. The flow equations are simplified into nonlinear differential equations, and these equations are then computationally resolved via an efficient computational technique known as Keller box technique. The governing flow factors like Eckert number, reaction rate, density parameter, magnetic-force parameter, thermophoretic number, buoyancy number and Prandtl number on velocity, temperature distribution and concentration distribution are evaluated prominently. It is noticed that prominent enhancement in temperature of fluid is assessed for maximum Prandtl number. It is found that the reasonable change in concentration distribution is evaluated for each Prandtl number with en-tropy generation. It is examined that the dimensionless Nusselt coefficient is decreased for maximum Brownian motion. It is seen that the dimensionless mass transfer is increased for maximum Brownian motion in the presence of buoyancy and magnetic forces.