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Chemically reactive species in the flow of a Maxwell fluid

handle: 10576/57343
This article presents a research for boundary layer flow and heat transfer of a Maxwell fluid over an exponential stretching surface with thermal stratifications. The effect of homogeneous and heterogeneous reaction are incorporated. Cattaneo–Christov heat flux model is used instead of Fourier law of heat conduction, which is recently proposed by Christov. This model predicts the impacts of thermal relaxation time on boundary layer. The transformed boundary layer equations are solved analytically by using Optimal homotopy analysis method. The effect of non-dimensional fluid relaxation time, thermal relaxation time, Prandtl number, Schmidt number and strength of homogeneous and heterogeneous reaction are demonstrated and exhibited graphically. The comparison of Cattaneo–Christov heat flux model and the Fourier’s law of heat conduction is also displayed. Keywords: Cattaneo–Christov heat model, Maxwell fluid, Thermal stratification, Homogeneous and heterogeneous reaction
- Qatar University Qatar
- Qatar University Qatar
- Quaid-i-Azam University Pakistan
Physics, QC1-999, Thermal stratification, Maxwell fluid, Cattaneo–Christov heat model, Homogeneous and heterogeneous reaction
Physics, QC1-999, Thermal stratification, Maxwell fluid, Cattaneo–Christov heat model, Homogeneous and heterogeneous reaction
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).60 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
