Modeling and analytical analysis of dual diffusive Williamson nanoliquid considering generalized heat-mass concepts

Author:

Nasir Muhammad1ORCID,Waqas Muhammad2,Zamri Nurnadiah1,Guedri Kamel3,Galal Ahmed M.45

Affiliation:

1. Faculty of Informatics and Computing, University Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia

2. NUTECH School of Applied Science and Humanities, National University of Technology, Islamabad 44000, Pakistan

3. Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, P. O. Box 5555, Makkah 21955, Saudi Arabia

4. Mechanical Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Wadi Addawaser, 11991, Saudi Arabia

5. Production Engineering and Mechanical Design Department, Faculty of Engineering Mansoura University, P. O. 35516, Mansoura, Egypt

Abstract

The primary objective of this investigation is to explore the Cattaneo–Christov flux models impact on Williamson nanofluid over a stretching surface. Buongiorno’s model featuring diffusions (Brownian and thermophoretic) is opted for nonlinear analysis. Buoyancy-driven nonlinear convection flow in stagnation region is modeled. Surface is permeable and transpiration effects are considered. Energy expression captures heat source/sink aspects. The nondimensional differential systems are tackled analytically via homotopy analysis method (HAM). The profiles of dimensionless temperature, concentration and skin friction are examined graphically for the attributes of multiple physical parameters. It is revealed that the heat transfer elevates with the increment of thermophoresis, heat source and Brownian motion parameters while it dwindles with the improvement of thermal relaxation parameter. The mass transfer strengthens with the enlargement of thermophoresis parameter while diminishing with the enhancement of solutal relaxation and Brownian motion parameters. The skin friction is elevated for higher values of material variable against nonlinear mixed convection parameter.

Funder

Deanship of Scientific Research at Umm Al-Qura University

Publisher

World Scientific Pub Co Pte Ltd

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

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