Hijaz Ahmad , Rashid Nawaz , Faisal Zia , Muhammad Farooq , Bandar Almohsen
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引用次数: 0
Abstract
In this work, we examine thin film flow of a non-Newtonian third-grade fluid flowing on a vertical moving belt. The modelled differential equation is solved using the Homotopy perturbation method and the Optimal axillary functions method. The solutions obtained by the proposed methods are compared through graphs and tables. Results reveal the efficiency, reliability, and fast convergence of both methods as the obtained solutions are in close agreement. The effect of different flow parameters for velocity profile, flow rate, and shear stress on the belt is also investigated. HPM and OAFM are particularly effective in solving nonlinear differential equations compared to some traditional numerical methods. OAFM is specifically useful in solving nonlinear boundary value problems. Both methods offer a flexible and efficient approximate solution for complex systems described by nonlinear differential equations and have a wide range of applications in heat conduction, fluid dynamics and structural mechanics
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.