The novelty of this research is surveying the effects of CuO nanoparticles in jeffery-hamel flow with the high levelized of magnetic field in converging and diverging channels using quasi-linearization method (QLM) and also the meshless method which based on radial basis functions. In order to evaluate the convergence analysis of the method, error estimations are made by a residual function denoted. Also, the ability of the present method is shown by comparing it with the numerical method to solve this problem, which is in good agreement. Effects of multivariable parameters is analyzed on magnetic field, nanoparticles volume fraction and angle of converging and diverging channels. The obtained results show that at angles or Reynolds number of greater in divergent channels, backflow occurs so the high levelized of magnetic field is eliminated this phenomenon. Increasing viscous force is due to velocity reduction close to the walls of converging and diverging channels.

In this essay, the nonlinear fractional integral equation is studied. Akbari-Ganji’s Method (AGM), Homotopy Perturbation Method (HPM) and Vibrational Iteration Method (VIM) are applied to obtain its solution. We present a new strategy for finding the approximate solutions to Fractional differential equations. We experience Fractional differential equations, which are broadly utilized in fluids. In this article, we have used analytical methods to check the correctness of the answers. Ordinary equations and fractional differential equations are related to entropy and wavelets, and so on. A few examples are employed to appear accurate and simple to implement and demonstrate the method. The solutions are clarified in convergent series. Some well-known models for anticipating the oscillation behavior of the action in a vibrating system are presented, then with the help of fractional calculus which could exceptionally powerful tool in mathematics and modeling of complex systems, a model for the same system is proposed. Compare the models and finally show that the proposed fractional model not only includes non-fractional models but also predicts the behavior of the system more comprehensively.