Unsteady axisymmetric flow of nanofluid on nonlinearly expanding surface with variable fluid properties

Q3 Materials Science JCIS open Pub Date : 2022-12-01 DOI:10.1016/j.jciso.2022.100064
Sohita Rajput , Krishnendu Bhattacharyya , Amit Kumar Pandey , Ali J. Chamkha
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引用次数: 5

Abstract

The physical phenomena of nanofluid at high temperature motivate us to analyze problems with temperature-reliant fluid properties, like viscosity and thermal conductivity. Since in glass blowing, viscosity and thermal conductivity of the fluid may gets affected in such high temperature. This communication deals with the unsteady flow of nanofluid generated by nonlinear expansion of the surface. Temperature-dependent fluid viscosity and thermal conductivity are considered in the investigation of the problem. The flow of nanofluid is modeled using famous the Buongiorno's two-phase model, which includes the simultaneous effect of Brownian motion and thermophoresis diffusion. Appropriate transformations are adopted to obtain the ODEs from governing PDEs. Then MATLAB ‘bvp4c’ computation is used to solve the problem and to get a clear insight of the influences of various parameters. Graphical comparisons are made to check the accuracy of used numerical method. The study explores that heat transfer rate significantly enhances by the index of nonlinearity, variable viscosity and thermal conductivity parameters. Unsteadiness of the flow can be used as a controlling parameter to reduce the surface drag, heat and nano-mass transfer rate. Variable viscosity parameter leads to enhance the velocity near the surface and reducing the concentration of the nanoparticles. The thermal and concentration boundary layer thickens with thermal conductivity parameters. Nanofluid temperature and concentration of nanoparticles decay with nonlinear expanding index.

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纳米流体在变流体性质非线性膨胀表面上的非定常轴对称流动
纳米流体在高温下的物理现象促使我们分析与温度相关的流体性质问题,如粘度和导热性。因为在吹制玻璃的过程中,这种高温会影响液体的粘度和导热性。本文讨论了纳米流体由于表面非线性膨胀而产生的非定常流动。在问题的研究中考虑了与温度相关的流体粘度和导热系数。采用著名的Buongiorno的两相模型来模拟纳米流体的流动,该模型包括布朗运动和热泳扩散的同时影响。采用适当的转换从控制的pde获得ode。然后利用MATLAB的“bvp4c”计算对问题进行求解,清楚地了解各参数的影响。通过图形比较,验证了所采用数值方法的准确性。研究发现,以非线性、变粘度和导热系数为指标,传热率显著提高。流动的不稳定性可以作为控制参数来降低表面阻力、传热和纳米传质率。黏度参数的变化会导致纳米颗粒在表面附近流速的提高和浓度的降低。随着导热系数的增加,边界层变厚。纳米流体温度和浓度随非线性膨胀指数衰减。
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来源期刊
JCIS open
JCIS open Physical and Theoretical Chemistry, Colloid and Surface Chemistry, Surfaces, Coatings and Films
CiteScore
4.10
自引率
0.00%
发文量
0
审稿时长
36 days
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