An optimal solution for magnetohydrodynamic nanofluid flow over a stretching surface with constant heat flux and zero nanoparticles flux

• Published in: Neural computing & applications Vol. 29; no. 12; pp. 1555 - 1562
• Main Authors: Hayat, Tasawar, Hussain, Zakir, Alsaedi, Ahmed, Muhammad, Taseer
• Format: Journal Article
• Language: English
• Published: London Springer London 01.06.2018; Springer Nature B.V
• Subjects: Artificial Intelligence; Boundary layers; Brownian motion; Computational Biology/Bioinformatics; Computational fluid dynamics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Fluid flow; Heat; Heat flux; Heat transfer; Image Processing and Computer Vision; Magnetohydrodynamics; Mathematical models; Nanofluids; Nanoparticles; Nonlinear systems; Original Article; Parameters; Physical properties; Probability and Statistics in Computer Science; Reynolds number; Skin friction; Slip velocity; Stretching; Temperature distribution; Thermophoresis; Thickness; Three dimensional flow; Nanoparticles; MHD; Optimal homotopy analysis method (OHAM); Flux conditions; Three-dimensional flow
• ISSN: 0941-0643; 1433-3058
• DOI: 10.1007/s00521-016-2685-x

This article examines the hydromagnetic three-dimensional flow of viscous nanoliquid. A bidirectional linear stretching surface has been used to create the flow. Novel features regarding Brownian motion and thermophoresis have been studied by employing Buongiorno model to examine the slip velocity of nanoparticle. Viscous liquid is electrically conducting subject to uniform applied magnetic field. Problem formulation in boundary-layer region is performed for low magnetic Reynolds number. Simultaneous effects of constant heat flux and zero nanoparticles flux conditions are utilized at boundary. Appropriate transformations correspond to the strongly nonlinear ordinary differential expressions. The resulting nonlinear systems have been solved through the optimal homotopy analysis method. Graphs have been sketched in order to analyze that how the temperature and concentration profiles are affected by various physical parameters. Further the coefficients of skin-friction and heat transfer rate have been numerically computed and discussed. Our findings show that the temperature distribution has a direct relationship with the magnetic parameter. Moreover, the temperature distribution and thermal boundary-layer thickness are higher for hydromagnetic flow in comparison with the hydrodynamic flow.