Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Accelerating Fluids01:17

Accelerating Fluids

1.1K
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.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
1.1K
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

160
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...
160
Laminar Flow: Problem Solving01:24

Laminar Flow: Problem Solving

219
Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
219
Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

8.6K
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...
8.6K
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

265
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...
265
Typical Model Studies01:30

Typical Model Studies

385
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
385

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Machine learning-augmented lateral flow assays for point-of-care infectious disease diagnostics.

Lab on a chip·2026
Same author

ML-automated microfluidic circuit design.

Science advances·2026
Same author

CRISPR-on-Chip for Point-of-Care Diagnostics.

ACS nano·2026
Same author

Bacteriophage binding receptor like-peptides and MXene-AgNPs modified label-free impedimetric biosensor for detection of Staphylococcus aureus in real samples.

Mikrochimica acta·2025
Same author

Optical sensors for continuous glucose monitoring.

Progress in biomedical engineering (Bristol, England)·2025
Same author

3D bioprinted glioma models.

Progress in biomedical engineering (Bristol, England)·2025
Same journal

Parallelized contactless microfluidic dispenser with superhydrophobic nozzles for scalable combinatorial screening.

Biomicrofluidics·2026
Same journal

Time resolved luminescence of millisecond lifetime dyes in droplet microfluidic systems.

Biomicrofluidics·2026
Same journal

Emerging trends in functional molecularly imprinted polymers for electrochemical detection of biomarkers.

Biomicrofluidics·2025
Same journal

Deep learning assisted mechanotyping of individual cells through repeated deformations and relaxations in undulating channels.

Biomicrofluidics·2025
Same journal

<i>Giardia</i> purification from fecal samples using rigid spiral inertial microfluidics.

Biomicrofluidics·2025
Same journal

Point of care sepsis diagnosis: Exploring microfluidic techniques for sample preparation, biomarker isolation, and detection.

Biomicrofluidics·2025
查看所有相关文章

相关实验视频

Updated: Jul 24, 2025

A Versatile Kit Based on Digital Microfluidics Droplet Actuation for Science Education
05:46

A Versatile Kit Based on Digital Microfluidics Droplet Actuation for Science Education

Published on: April 26, 2021

4.8K

机器学习增强的微混合器教育模块流体动力学模拟.

Mehmet Tugrul Birtek1, M Munzer Alseed2, Misagh Rezapour Sarabi

  • 1School of Biomedical Sciences and Engineering, Koç University, Istanbul 34450, Turkey.

Biomicrofluidics
|July 10, 2023
PubMed
概括
此摘要是机器生成的。

机器学习优化了微混合器设计,以在低雷诺兹数流中高效混合. 这种人工智能驱动的方法加速了用于化学和生物医学应用的微流体设备的开发.

更多相关视频

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

9.0K
Reduced-gravity Environment Hardware Demonstrations of a Prototype Miniaturized Flow Cytometer and Companion Microfluidic Mixing Technology
13:59

Reduced-gravity Environment Hardware Demonstrations of a Prototype Miniaturized Flow Cytometer and Companion Microfluidic Mixing Technology

Published on: November 13, 2014

13.8K

相关实验视频

Last Updated: Jul 24, 2025

A Versatile Kit Based on Digital Microfluidics Droplet Actuation for Science Education
05:46

A Versatile Kit Based on Digital Microfluidics Droplet Actuation for Science Education

Published on: April 26, 2021

4.8K
Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

9.0K
Reduced-gravity Environment Hardware Demonstrations of a Prototype Miniaturized Flow Cytometer and Companion Microfluidic Mixing Technology
13:59

Reduced-gravity Environment Hardware Demonstrations of a Prototype Miniaturized Flow Cytometer and Companion Microfluidic Mixing Technology

Published on: November 13, 2014

13.8K

科学领域:

  • 微流体学 微流体学
  • 化学工程是化学工程的重要组成部分.
  • 生物医学工程 生物医学工程

背景情况:

  • 与流相比,为低雷诺兹数 (层状) 流量设计高效的微混合器存在重大挑战.
  • 传统的设计流程可能耗时且昂贵,需要创新的优化策略.

研究的目的:

  • 开发一个交互式的教育模块,用于设计紧和高效的微混合器,用于低雷诺兹度的牛顿式和非牛顿式流体.
  • 利用机器学习来预测微混合器性能和优化设计,从而降低制造成本和开发时间.

主要方法:

  • 一个机器学习模型,特别是一个两层深度神经网络,使用来自1890年不同牛顿流体微混合器设计的模拟数据进行训练.
  • 六个设计参数及其相应的混合指数作为神经网络的输入.
  • 同样的深度神经网络架构被应用于优化非牛顿流体微混合器设计,利用从56,700到1890模拟减少的数据集.

主要成果:

  • 对牛顿流体进行训练的模型实现了高精度,R2 = 0.9543,可靠地预测混合指数和最佳设计参数.
  • 对于非牛顿流体,该模型实现了R2 = 0.9063,证明了它在不同类型的流体中的有效性.
  • 开发的框架成功地作为一种交互式教育工具,将人工智能整合到工程课程中.

结论:

  • 这项研究成功地展示了机器学习的应用,用于优化微混合器设计在低雷诺兹数流中.
  • 开发的交互式模块为工程学生提供了有价值的教育资源,展示了AI在微流体设计中的整合.
  • 这种人工智能驱动的方法显著提高了效率,并降低了与开发微流体设备相关的成本.