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Nonlinear convective stratified flow of Maxwell nanofluid with activation energy
The aim of present article is to explore the novel aspects of activation energy in nonlinearly convective flow of Maxwell nanofluid driven by nonlinearly stretched inclined cylinder. Generalized forms of Fourier's and Fick's law are utilized through Cattaneo-Christov double diffusion schem...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6348168/ https://www.ncbi.nlm.nih.gov/pubmed/30705980 http://dx.doi.org/10.1016/j.heliyon.2019.e01121 |
Sumario: | The aim of present article is to explore the novel aspects of activation energy in nonlinearly convective flow of Maxwell nanofluid driven by nonlinearly stretched inclined cylinder. Generalized forms of Fourier's and Fick's law are utilized through Cattaneo-Christov double diffusion scheme. Maxwell nanomaterial model is used to describe the significant slip mechanism namely known as Brownian and thermophoresis diffusions. Features of double stratification, non-uniform heat generation/absorption, binary chemical reaction and activation energy are considered for present flow problem. Modified Arrhenius formula for activation energy is implemented. The resulting nonlinear system is cracked for series solutions via homotopy technique. Effects of different flow parameters on temperature, nanoparticle volume concentration and velocity fields are examined through graphs and tables. Numerical computations are performed for local Nusselt and Sherwood numbers. Our analysis reveals that nanoparticle concentration is directly proportional to the chemical reaction with activation energy. Moreover stratification variables diminish the temperature and concentration. It is also noticed that higher estimation of Deborah number declines the velocity profile of Maxwell fluid. Numerical outcomes are compared with previous published results and found to be in good agreement for limiting cases of the evolving parameters. |
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