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Videos de Conceptos Relacionados

Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

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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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Steady Flow of a Fluid Stream01:27

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Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
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Bernoulli's Equation for Flow Along a Streamline01:30

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Bernoulli's equation relates the energy conservation in a fluid moving along a streamline. The equation applies to incompressible and inviscid fluids under steady flow. For such a flow, Newton's second law is applied to a small fluid element, which experiences forces due to pressure differences, gravity, and velocity variations. The force balance leads to the following form of Bernoulli's equation:
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Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

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A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
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Turbulent Flow01:24

Turbulent Flow

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Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent...
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Uniform Depth Channel Flow01:27

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Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant...
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Video Experimental Relacionado

Updated: Apr 30, 2026

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
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Holograma microfluídico guiado por eventos desdibujando a través del aprendizaje de frecuencia espacial.

Dunhong Huang, Jie Xu, Haixin Luo

    Optics express
    |February 20, 2026
    PubMed
    Resumen
    Este resumen es generado por máquina.

    Este estudio introduce una red guiada por eventos para desdibujar hologramas microfluídicos de imágenes de partículas de alta velocidad. El nuevo enfoque mejora la calidad de la reconstrucción para el análisis de partículas y la citometría de flujo.

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    Área de la Ciencia:

    • Óptica y Fotónica.
    • Ingeniería Biomédica Ingeniería Biomédica.
    • Visión por ordenador Visión por ordenador Visión por ordenador Visión por ordenador Visión por ordenador

    Sus antecedentes:

    • La imagen holográfica microfluídica es crucial para el análisis de partículas, pero tiene problemas con el desenfoque del movimiento en aplicaciones de alta velocidad.
    • Los métodos de desenfoque existentes son ineficaces para los patrones de alta frecuencia en los hologramas ricos en franjas.

    Objetivo del estudio:

    • Desarrollar una técnica avanzada de desenfoque para la holografía microfluídica que supere las limitaciones de los métodos convencionales.
    • Para mejorar la calidad de reconstrucción de hologramas de objetivos móviles de alta velocidad.

    Principales métodos:

    • Se desarrolló un enfoque de aprendizaje de frecuencia espacial guiado por eventos, aprovechando la resolución temporal del sensor de eventos.
    • Se diseñó una red de fusión adaptativa de doble dominio guiada por eventos (EDAF-Net) con ramas de dominio espacial y de frecuencia integradas.
    • Se incorporó un módulo de fusión de doble dominio para mantener la fidelidad espectral y la precisión espacial.

    Principales resultados:

    • EDAF-Net demostró una recuperación de la franja de alta frecuencia superior en comparación con los métodos de última generación.
    • La red propuesta logró la menor complejidad del modelo y carga computacional entre los métodos comparados.
    • La validación experimental confirmó la eficacia para las microesferas estandarizadas y los glóbulos rojos humanos.

    Conclusiones:

    • La red EDAF-Net desarrollada aborda efectivamente el desenfoque de movimiento en las imágenes holográficas microfluidas.
    • Este método mejora el análisis cuantitativo de partículas y las aplicaciones de citometría de flujo.
    • El enfoque ofrece una solución computacionalmente eficiente para el desdibujamiento holográfico de alta velocidad.