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Related Concept Videos

Viscosity01:27

Viscosity

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Viscosity is a property of fluids that measures their resistance to flow. It is influenced by factors such as the surface area of contact, the gradient of flow speed, and the fluid's viscosity constant, called the coefficient of viscosity. The coefficient of viscosity, also known as dynamic viscosity, is denoted by the symbol η. It determines the proportionality between the viscous force and the gradient of flow speed.Newton's law of viscosity states that the viscous force on a...
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Viscosity01:17

Viscosity

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When water is poured into a glass, it falls freely and quickly, whereas if honey or maple syrup is poured over a pancake, it flows slowly and sticks to the surface of the container. This difference in the flow of different kinds of liquids arises due to the fluid friction between the liquid layers and the liquid and the surrounding material. This property of fluids is called fluid viscosity. In this example, water has a lower viscosity than honey and maple syrup.
The SI unit of viscosity is...
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Newtonian Fluid: Problem Solving01:18

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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.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
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Viscosity of Fluid01:19

Viscosity of Fluid

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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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Navier–Stokes Equations01:28

Navier–Stokes Equations

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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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Velocity Potential01:20

Velocity Potential

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In steady, incompressible flow through a long, straight pipe with a uniform cross-section, the flow in the central region (far from the pipe walls) is irrotational. This irrotational nature means that fluid particles do not rotate around their axes, and a scalar function called the velocity potential, represented by ϕ, can be used to describe their movement. In irrotational flows, the velocity field V is defined as the gradient of the velocity potential:
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Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids
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Prescribed Velocity Gradients for Highly Viscous SPH Fluids with Vorticity Diffusion.

Andreas Peer, Matthias Teschner

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    Summary
    This summary is machine-generated.

    This study introduces a new method for simulating viscous fluids using prescribed velocity gradients, focusing on physically motivated vorticity diffusion for improved accuracy and stability in Smoothed Particle Hydrodynamics (SPH) simulations.

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    Area of Science:

    • Computational physics
    • Fluid dynamics
    • Smoothed Particle Hydrodynamics (SPH)

    Background:

    • Simulating highly viscous Smoothed Particle Hydrodynamics (SPH) fluids requires robust methods.
    • Prescribed velocity gradients offer efficient and independent control over shear rate, spin, and expansion rate.
    • Existing methods sometimes struggle with accurate vorticity handling.

    Purpose of the Study:

    • To propose a novel variant of the prescribed-gradient method for SPH fluids.
    • To introduce a physically motivated approach to vorticity handling within this framework.
    • To compare the proposed vorticity diffusion with preservation and damping methods.

    Main Methods:

    • Development of a novel prescribed-gradient approach for SPH fluid simulation.
    • Implementation and analysis of vorticity diffusion as a core component.
    • Comparative study of vorticity diffusion against vorticity preservation and damping.
    • Exploration of the relationship between prescribed velocity gradients and Laplacians.
    • Investigation of the connection to implicit viscosity formulations.

    Main Results:

    • The proposed vorticity diffusion method is shown to be effective and physically motivated.
    • Vorticity diffusion offers advantages over vorticity preservation in certain SPH simulations.
    • The study clarifies the relationship between prescribed velocity gradients and Laplacians.
    • The method's connection to implicit viscosity formulations is elucidated.

    Conclusions:

    • The novel prescribed-gradient method with vorticity diffusion enhances the simulation of highly viscous SPH fluids.
    • This approach provides a more physically accurate and stable alternative for vorticity handling.
    • The findings improve the understanding and application of prescribed-gradient techniques in fluid dynamics.