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相关概念视频

Eulerian and Lagrangian Flow Descriptions01:22

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Fluid flow analysis is critical in many scientific and engineering disciplines, and two principal approaches are used to describe this flow: the Eulerian and Lagrangian methods. These methods offer different perspectives on monitoring and analyzing the motion of fluids, each with distinct advantages depending on the scenario.
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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.
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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.
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For incompressible Newtonian fluids, where density remains constant, stresses show a linear relationship with the deformation rate, defined by normal and shear stresses. Normal stresses depend on the pressure exerted on the fluid and the rate of deformation in specific directions, which determines how fluid flows under varying pressures. Shear stresses, on the other hand, act tangentially across fluid layers. They explain how adjacent fluid layers slide relative to one another, connecting...
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Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the...
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对于粘弹性流的拉格朗日分阶段方法.

Martina Bašić1, Branko Blagojević1, Branko Klarin1

  • 1Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, R. Boškovića 32, 21000 Split, Croatia.

Polymers
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概括
此摘要是机器生成的。

这项研究引入了一种新的拉格朗的方法来模拟粘弹性材料,准确地捕捉复杂的流动行为和大变形. 该方法在高Weissenberg数下显示出稳定性,为聚合物工业模拟提供了强大的工具.

关键词:
LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD LDD奥尔德罗伊德-B-B的时间死亡 膨胀 膨胀没有网格的无网格网格.聚合物是一种聚合物.突然的收缩突然的收缩粘性弹性 粘性弹性

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科学领域:

  • 计算流体动力学的流体动力学.
  • 类风病学 类风病学 类风病学
  • 聚合物物理 聚合物物理

背景情况:

  • 无网状拉格朗的方法面临着模拟粘弹性材料的挑战.
  • 现有的方法在复杂的流程中难以获得准确性和稳定性.

研究的目的:

  • 为不可压缩的粘弹性流量开发和验证一种新的无网格拉格朗式方法.
  • 扩展拉格朗差异动力学 (LDD) 方法用于粘弹性模拟.

主要方法:

  • 介绍了拉格朗的背景下纳维埃-斯托克斯方程的分步方案 (压力波松重构).
  • 扩展了经过验证的LDD方法,以解决Oldroyd-B粘弹性流动的分步方案.
  • 使用基准验证了该方法:盖子驱动的空洞,滴滴撞击,平面收缩和模块胀.

主要成果:

  • 扩展的LDD方法准确模拟粘弹性流,捕捉大变形和记忆效应.
  • 在没有规范化的情况下,实现了高维森伯格数的稳定模拟.
  • 在对粘弹性流体动力学的基准测试中证明有效性.

结论:

  • 在模拟具有复杂材料特性和应力反应的粘弹性流动时,LDD方法是有效的.
  • 稳定性和性能鼓励其在工业聚合物加工中的应用.
  • 为解决粘弹性流体动力学问题提供了强大的数值工具.