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相关概念视频

Viscosity of Fluid01:19

Viscosity of Fluid

684
Viscosity measures the resistance a fluid offers to flow and deformation. It results from internal friction between layers of fluid moving relative to one another. Dynamic viscosity, denoted by the Greek letter mu (μ), quantifies the force needed to move one fluid layer over another. For Newtonian fluids like water and air, the relationship between the shearing stress and the rate of shearing strain is linear, meaning their viscosity remains constant regardless of the applied stress.
684
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

394
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
394
Accelerating Fluids01:17

Accelerating Fluids

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When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
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The Fluid Mosaic Model01:34

The Fluid Mosaic Model

152.9K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
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Pressure Variation in a Fluid at Rest01:11

Pressure Variation in a Fluid at Rest

406
In a fluid at rest, the pressure at any point beneath the fluid surface depends solely on the depth, not on the container's shape or size. This principle, known as hydrostatic pressure, arises because, in stationary fluids, there is no acceleration, meaning the forces within the fluid balance out. Only vertical forces, caused by the weight of the fluid above, contribute to pressure changes with depth.
When measuring pressure at two different levels within the fluid, the difference in...
406
Typical Model Studies01:30

Typical Model Studies

441
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.
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相关实验视频

Updated: Sep 12, 2025

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
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一种高分辨率的有限差异方法,用于模拟双流体粘弹性凝动力学.

Grady B Wright1, Robert D Guy2, Jian Du3

  • 1Department of Mathematics, Boise State University, Boise, ID 83725-1555, USA.

Journal of non-Newtonian fluid mechanics
|August 7, 2025
PubMed
概括

这项研究使用部分微分方程建模了适应性双流体凝. 一种新的数值方法准确模拟了凝动态,揭示了复杂的行为在风湿学研究.

关键词:
克里洛夫子空间是克里洛夫子空间.混合理论混合理论多电网格的多电网.多相流量流的多相流量过渡网络模型的过渡网络模型.粘弹性流动模拟的粘弹性流动模拟.

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科学领域:

  • 软物质物理学 软物质物理学
  • 计算流体动力学的流体动力学.
  • 生物物理学的生物物理.

背景情况:

  • 由聚合物网络和流体溶剂组成的凝具有适应性机械和质性质.
  • 这些特性在细胞质,粘液和血栓等生物系统中至关重要.
  • 了解凝的行为需要复杂的数学和计算模型.

研究的目的:

  • 开发和验证两流体凝的数学模型.
  • 实施一个强大的数值方法来模拟凝动态.
  • 为了研究这些凝在特定流量条件下的行为.

主要方法:

  • 一个数学模型,将网络视为粘弹性流体,溶剂视为牛顿流体.
  • 控制方程包括运输,粘性弹性和流体动量的时间依赖的部分微分方程.
  • 一种使用分层网格,有限差异和戈杜诺夫方法的数值方法,具有GMRES和多网格预条件.

主要成果:

  • 数字方法证明了模拟凝动态的准确性和稳定性.
  • 该研究介绍了四轮机问题上的模拟结果.
  • 该模型捕捉了两流体凝的复杂和有趣的行为.

结论:

  • 开发的数值方法对于建模可适应的双流体凝是有效的.
  • 这项工作为进一步研究凝力学和应用提供了基础.
  • 模拟四车的问题突出显示了该模型在预测学现象方面的能力.