T
Tufail A. Khan
Researcher at University of Engineering and Technology, Peshawar
Publications - 26
Citations - 1235
Tufail A. Khan is an academic researcher from University of Engineering and Technology, Peshawar. The author has contributed to research in topics: Nonlinear system & Partial differential equation. The author has an hindex of 16, co-authored 23 publications receiving 879 citations.
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Analytic approximate solutions for some nonlinear Parabolic dynamical wave equations
TL;DR: In this article, the modified variational iteration algorithm-II is investigated for finding approximate solutions of nonlinear Parabolic equations, and compared with trigonometric B-spline.
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Entropy generation in radiative motion of tangent hyperbolic nanofluid in presence of activation energy and nonlinear mixed convection
M. Ijaz Khan,Sumaira Qayyum,Tasawar Hayat,Tasawar Hayat,M. Imran Khan,Ahmed Alsaedi,Tufail A. Khan +6 more
TL;DR: In this paper, Tangent hyperbolic nanomaterial model is used to describe the important slip mechanism, namely Brownian and thermophoresis diffusions, and an optimization of entropy generation is performed through thermodynamics second law.
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Entropy generation in Darcy-Forchheimer bidirectional flow of water-based carbon nanotubes with convective boundary conditions
Tasawar Hayat,Tasawar Hayat,Muhammad Ijaz Khan,Tufail A. Khan,Muhammad Imran Khan,Salman Ahmad,Ahmed Alsaedi +6 more
TL;DR: In this article, the authors investigated water-based carbon nanotubes nonlinear stretched flow embedded in Darcy-Forchheimer porous medium and investigated the impact of thermophysical parameters on entropy generation, velocity and temperature.
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Variational iteration algorithm-I with an auxiliary parameter for wave-like vibration equations:
Hijaz Ahmad,Tufail A. Khan +1 more
TL;DR: In this article, the variational iteration algorithm with an auxiliary parameter is used for the analytical treatment of the wave equations and wave-like vibration equations and the technique has the c...
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Study on numerical solution of dispersive water wave phenomena by using a reliable modification of variational iteration algorithm
TL;DR: The consequences of modified variational iteration algorithm-II (MVIA-II) show that the proposed technique minimizes the size of calculations, converges rapidly, computationally efficient and yields accurate results.