倾斜通道中含尘埃微粒流体在磁力、辐射热通量以及滑移和周期性热条件作用下的热流

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Sanatan Das, Tilak Kumar Pal, Rabindra Nath Jana
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引用次数: 0

摘要

在航空航天和汽车行业,控制热流和微粒物质对于发动机冷却系统的高效运行和优化车辆的空气动力学至关重要。了解火山灰运动、沙尘暴等自然现象以及受热和磁力影响的其他天体物理和地球物理流动的动力学至关重要。在这一框架内,我们研究的主要目标是建立一个模型,模拟固体尘埃微粒包裹的流体在倾斜通道中受热辐射和磁力影响的热驱动运动。我们的方法利用卡松流体模型来表示含尘流体的特性。该模型考虑了浮力、辐射热通量、速度滑移条件和周期性热边界条件等新出现的因素。为了从数学上描述随时间变化的流动,采用了偏微分方程,并得出了紧凑形式的解。我们绘制了一系列图表,以展示各种环境参数对流动剖面和相关量的影响。这些直观教具有效地描述了不同条件下的流动动力学变化。研究表明,在流体相(FP)中,速度场和热场的数值通常较高,而在粉尘相(DP)中,通道内的这些数值较低。随着颗粒浓度参数的升高,热曲线也随之下降,不论是流体相还是粉尘相。此外,随着颗粒弛豫时间的增加,通道壁的剪应力也会增强。值得注意的是,右壁明显的周期性温度波动会显著影响两个通道壁的传热速率。这项研究有助于设计更有效的空气过滤系统、改进车辆设计以提高空气动力学性能,以及管理工业环境中的颗粒污染物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Thermal flow of dust particulates-laden fluid in a slanted channel subject to magnetic force, radiant heat flux, and slip and periodic thermal conditions

Thermal flow of dust particulates-laden fluid in a slanted channel subject to magnetic force, radiant heat flux, and slip and periodic thermal conditions

In aerospace and automotive industries, the control of thermal flows and particulate matter is crucial for the efficient operation of engine cooling systems and optimizing the aerodynamics of vehicles. Understanding the dynamics of natural phenomena such as the movement of volcanic ash, dust storms, and other astrophysical and geophysical flows influenced by thermal and magnetic forces is essential. Within this framework, the primary objective of our study is to develop a model and simulate the heat-driven movement of a solid dust particulate-embedded fluid influenced by thermal emission and magnetic forces in a slanted channel. Our approach utilizes the Casson fluid model to represent the dusty fluid’s characteristics. The model takes into account emerging factors like buoyancy force, radiant heat flux, velocity slip condition, and periodic thermal boundary conditions. To mathematically describe the time-dependent flow, partial differential equations are employed, and compact-form solutions are derived. A series of graphs and tables are constructed to demonstrate the aftermath of various contextual parameters on flow profiles and related quantities. These visual aids effectively portray the changes in the flow dynamics under different conditions. The research reveals that in the fluid phase (FP), the velocity and thermal fields generally display higher values, whereas in the dust phase (DP), these values are lower within the channel. As particles’ concentration parameter upsurges, the thermal curve declines, irrespective of whether it is FP or DP. Additionally, the shear stresses at the channel walls intensify with increased particle relaxation time. Notably, pronounced periodic temperature fluctuations at the right wall significantly influence the heat transfer rates at both channel walls. This research can aid in designing more effective air filtration systems, refining vehicle design for improved aerodynamics, and managing particulate pollutants in industrial settings.

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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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