在墙壁流中摩擦的一般化缩放和模型
Shivsai Ajit Dixit1, Abhishek Gupta1, Harish Choudhary1
1Indian Institute of Tropical Meteorology (Ministry of Earth Sciences, New Delhi), Pune, India.
Physical review letters
|January 19, 2024
概括
这项研究引入了一种新的模型,用于预测流中的墙壁摩擦. 它准确地估计了各种流动条件的摩擦力,而不需要解决粘性亚层.
科学领域:
- 流体动力学 流体动力学
- 流建模 流建模
背景情况:
- 准确预测墙壁摩擦对于理解和建模流非常重要.
- 现有的模型经常与非标准的流量条件作斗争,限制了它们的适用性.
研究的目的:
- 开发一个通用的缩放框架和预测模型,用于流中的墙壁摩擦.
- 为了协调标准和非标准流量条件的预测.
主要方法:
- 从动态方程中推导出一个新的缩放框架.
- 使用总平均流动动能和速度配置形状因子作为关键参数.
- 根据广泛的文献数据验证了模型,涵盖了各种流量类型和条件.
主要成果:
- 拟议的框架准确地预测墙壁摩擦在广泛的雷诺兹数,加速和历史效应.
- 在统一的方法中,成功地将非标准流与标准流相协调.
- 证明了在不解决粘性亚层或使用墙壁定律的情况下估计墙壁摩擦的能力.
结论:
- 一般化缩放框架为在流中预测墙壁摩擦提供了一个强大而通用的工具.
- 这种方法提高了数值模拟和实验分析的准确性和适用性.
- 与以前仅限于标准流量条件的模型相比,提供了显著的进步.
更多相关视频
09:58Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
Published on: February 3, 2014
8.5K
10:28Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids
Published on: January 3, 2014
13.7K
相关概念视频
Typical Model Studies
359
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
359
Modeling and Similitude
267
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
267
Frictional Force
8.0K
When a body is in motion, it encounters resistance because the body interacts with its surroundings. This resistance is known as friction, a common yet complex force whose behavior is still not completely understood. Friction opposes relative motion between systems in contact, but also allows us to move. Friction arises in part due to the roughness of surfaces in contact. For one object to move along a surface, it must rise to where the peaks of the surface can skip along the bottom of the...
8.0K
Types of Friction Problems
540
Friction is an essential concept in physics, engineering, and everyday life. It is the force that opposes the relative motion or tendency of such motion between two surfaces in contact. One of the most common types of friction encountered in various applications is dry friction. Dry friction problems can be broadly categorized into three types, each with unique characteristics and challenges.
The first type of dry friction problem involves situations where there is no apparent impending motion....
The first type of dry friction problem involves situations where there is no apparent impending motion....
540
Boundary Layer Characteristics
116
When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
116
Drag
98
Drag is a resistive force opposing an object’s motion through a fluid, resulting from surface pressure and shear forces. It comprises two components: a perpendicular one from pressure and a tangential one from shear stress. Accurate drag calculations use pressure and wall shear stress distributions, often determined through Computational Fluid Dynamics (CFD) or wind tunnel testing. The drag coefficient, a dimensionless measure, depends on factors like shape, Reynolds number, Mach number,...
98
