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相关概念视频

Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

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Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures enhance...
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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 Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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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.
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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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Magnetostatic Boundary Conditions01:28

Magnetostatic Boundary Conditions

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An electric field suffers a discontinuity at a surface charge. Similarly, a magnetic field is discontinuous at a surface current. The perpendicular component of a magnetic field is continuous across the interface of two magnetic mediums. In contrast, its parallel component, perpendicular to the current, is discontinuous by the amount equal to the product of the vacuum permeability and the surface current. Like the scalar potential in electrostatics, the vector potential is also continuous...
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相关实验视频

Updated: Feb 20, 2026

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
09:17

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

Published on: April 23, 2018

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在海洋流中基于罗网络的波束校正和识别.

Haichao Zhan, Yang Qu, Le Wang

    Optics express
    |February 18, 2026
    PubMed
    概括

    这项研究引入了一个罗网络来纠正扭曲的束,并确定在水下无线光通信 (UWOC) 中的轨道角动量 (OAM) 模式. 该方法有效地减轻了海洋流 (OT) 的影响,提高了UWOC系统的性能.

    科学领域:

    • 光学通信是指光学通信.
    • 信号处理 信号处理
    • 机器学习 机器学习

    背景情况:

    • 束可以提高水下无线光通信 (UWOC) 的通道容量.
    • 海洋流 (OT) 严重扭曲了束,降低了UWOC质量.
    • 准确识别轨道角动量 (OAM) 模式和扭曲校正对于强大的UWOC至关重要.

    研究的目的:

    • 为UWOC系统开发联合扭曲校正和OAM模式识别方法.
    • 通过实验验证使用语网络 (SN) 验证拟议的方法.
    • 为了在有限的数据下实现准确的OAM模式识别和Zernike系数预测.

    主要方法:

    • 采用罗网络 (SN) 架构从相屏幕和强度模式中进行特征提取和融合.
    • 在SN中集成了一个分类网络,用于同时OAM模式识别和Zernike多项式系数预测.
    • 该方法旨在在有限数量的培训样本中有效运行.

    主要成果:

    • 该SN准确地确定了四种OAM模式,并预测了四种海洋动荡 (OT) 级别的泽尼克系数.
    • 使用预测系数重建的相屏幕使得扭曲的旋转束能够得到高质量的校正.
    • 即使采用有限的样本数据,SN也表现出强大的概括性能.

    更多相关视频

    Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
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    Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

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    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
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    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

    Published on: July 19, 2016

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    相关实验视频

    Last Updated: Feb 20, 2026

    Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
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    Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

    Published on: April 23, 2018

    11.3K
    Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
    10:53

    Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

    Published on: March 12, 2019

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    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
    11:00

    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

    Published on: July 19, 2016

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    结论:

    • 提出的基于SN的方法为纠正UWOC中束扭曲提供了有效的解决方案.
    • 这种方法可以在具有挑战性的水下环境中可靠地识别OAM模式并减轻流.
    • 该研究为改善UWOC系统的性能和可靠性提供了一条新的途径.