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Related Concept Videos

Accelerating Fluids01:17

Accelerating Fluids

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.
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Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

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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There are many examples of pressure in fluids in everyday life, such as in relation to blood (high or low blood pressure) and in relation to weather (high- and low-pressure weather systems). A given force can have a significantly different effect, depending on the area over which the force is exerted. For instance, a force applied to an area of 1 mm2 has a pressure that is 100 times greater than the same force applied to an area of 1 cm2. That's why a sharp needle is able to poke through skin...
Capillarity in Fluid01:19

Capillarity in Fluid

Capillarity describes the movement of liquid in small spaces without external forces acting on it. The capillarity is driven by surface tension and adhesive interactions between the liquid and surrounding solid surfaces. This effect is often seen in narrow tubes, porous materials, and fine particles.
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Fluid Movement Between Compartments01:18

Fluid Movement Between Compartments

The force applied by fluids against a surface, known as hydrostatic pressure, initiates the transfer of fluid among different compartments. Within our blood vessels, the blood's hydrostatic pressure is a result of the heart's pumping action. At the arteriolar end of capillaries, hydrostatic pressure (capillary blood pressure) exceeds the opposing colloid osmotic pressure created primarily by plasma proteins like albumin. This discrepancy in pressure propels plasma and nutrients from the...
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Viscosity of Fluid

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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Two-way coupled SPH and particle level set fluid simulation.

Frank Losasso1, Jerry Talton, Nipun Kwatra

  • 1Industrial Light & Magic, San Rafael, CA 94901, USA. frank@frankpetterson.com

IEEE Transactions on Visualization and Computer Graphics
|May 10, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a novel simulation framework combining particle level set and smoothed particle hydrodynamics methods to accurately model dense liquids and diffuse sprays. It enables seamless two-way coupling for improved fluid simulations.

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Area of Science:

  • Computational fluid dynamics
  • Multiphase flow simulation

Background:

  • Grid-based methods struggle with small-scale fluid features.
  • Adaptive methods offer partial solutions but require separate techniques for diffuse phenomena like sprays and foam.

Purpose of the Study:

  • To develop a unified simulation framework for both dense and diffuse fluid regions.
  • To enable efficient and accurate simulation of complex fluid behaviors, including sprays and foams.

Main Methods:

  • Utilizing the particle level set method for dense liquid volumes.
  • Employing a novel smoothed particle hydrodynamics (SPH) method for diffuse regions like sprays.
  • Implementing a two-way coupled simulation framework integrating both methods.

Main Results:

  • Successfully simulated dense and diffuse water volumes within a single framework.
  • Integrated particles from the particle level set method into the SPH simulation.
  • Achieved two-way mixing between SPH-simulated dense volumes and grid-based liquid representations.

Conclusions:

  • The proposed framework effectively addresses limitations of traditional grid-based methods for small-scale phenomena.
  • This approach allows for accurate simulation of sprays, foams, and their interaction with dense liquids.
  • Offers a more comprehensive solution for complex multiphase flow simulations.