Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

606
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.
606
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

649
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...
649
Bernoulli's Equation for Flow Along a Streamline01:30

Bernoulli's Equation for Flow Along a Streamline

1.4K
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:
1.4K
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

645
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
645

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

ELOVL6 Promotes the Proliferation and Migration of Oral Squamous Cell Carcinoma Cells Through Fatty Acid Remodelling and ROS Modulation in vitro.

OncoTargets and therapy·2026
Same author

Coplanar indoline-functionalized fullerene with elevated LUMO level for tin halide perovskite photovoltaics.

Chemical communications (Cambridge, England)·2026
Same author

Beyond chemical metrics: Incorporating fish and zooplankton community structures into environmental risk assessment of industrial wastewater-impacted rivers.

Water research·2026
Same author

The exocyst subunits OsEXO70L2 and OsSEC3A regulate root development through modulating OsPIN1a/b-mediated auxin distribution in rice.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Three-dimensional finite element analysis of the stability of tooth-implant supported prostheses for mandibular anterior dentition defects.

BMC oral health·2026
Same author

Ultrathin Magnesium-Ion Selective COF Membranes for Efficient Osmotic Power and Iontronic Logic Control.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same journal

Engineered Young Brown Adipose Tissue-Derived Exosomes Alleviate Radiation-Induced Lung Injury by Promoting G Protein-Coupled Receptor 183 Ubiquitination.

ACS nano·2026
Same journal

Pore Geometry-Driven Capture of Trace Aromatic Volatile Organic Compounds in Al-Based MOFs.

ACS nano·2026
Same journal

Dual-Bridged Porphyrin-Based Covalent Organic Framework with Integrated Specific Fluorescent Recognition and Cooperative Adsorption Capabilities.

ACS nano·2026
Same journal

Split-Gate Memtransistors for Energy-Efficient Adaptive Reinforcement Learning.

ACS nano·2026
Same journal

Interface Coordination Nucleation of Copper Nanoclusters on Covalent Organic Frameworks for Electrocatalytic Ammonia Synthesis.

ACS nano·2026
Same journal

High-Performance Near-Infrared Quantum Emission from Color Centers in hBN.

ACS nano·2026
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels
08:32

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

Published on: January 28, 2022

2.7K

Dynamic Modeling of a Stream-Current-Based Microfluidic Nanogenerator.

Jingwen Zhang1, Jiajia Shao2,3, Hadrien Monluc4

  • 1School of Physics, Zhengzhou University, Zhengzhou 450052, P. R. China.

ACS Nano
|November 30, 2025
PubMed
Summary
This summary is machine-generated.

This study models microfluidic nanogenerators (MF-NGs) that convert fluid flow into electricity. It explains how ion movement and electric fields create a continuous direct current (DC) output for energy harvesting.

Keywords:
displacement currentelectrical double layerelectrokinetic effectmicro/nanofluidicsmicrofluidic nanogenerator

More Related Videos

A Gradient-generating Microfluidic Device for Cell Biology
11:05

A Gradient-generating Microfluidic Device for Cell Biology

Published on: August 30, 2007

15.8K
Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

17.7K

Related Experiment Videos

Last Updated: Jan 9, 2026

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels
08:32

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

Published on: January 28, 2022

2.7K
A Gradient-generating Microfluidic Device for Cell Biology
11:05

A Gradient-generating Microfluidic Device for Cell Biology

Published on: August 30, 2007

15.8K
Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

17.7K

Area of Science:

  • Electrokinetics
  • Nanotechnology
  • Energy Harvesting

Background:

  • Microfluidic nanogenerators (MF-NGs) offer promising fluidic hydropower conversion to direct current (DC) but lack a full understanding of their operational mechanisms.
  • Efficient ion transport manipulation and energy harvesting are key challenges in developing advanced MF-NGs.

Purpose of the Study:

  • To establish a theoretical model for MF-NGs, elucidating the complex interplay between ion transport and energy generation.
  • To provide a comprehensive framework for understanding electrokinetic energy conversion in micro/nanoscale channels.

Main Methods:

  • Coupling of Poisson, Nernst-Planck, and Navier-Stokes equations to simulate ion transport within micro/nanoscale channels.
  • Theoretical analysis of the dynamic interaction and equilibrium between displacement current and ionic transport current.
  • Investigation of factors influencing charge distribution polarization and streaming potential formation.

Main Results:

  • A theoretical framework detailing the electrokinetic phenomena in pressure-driven flows within MF-NGs.
  • Identification of key parameters: pressure, solution concentration, surface charge, and barrier electric fields influencing streaming potential.
  • Elucidation of the interdependent constraints governing charge distribution and electric field generation.

Conclusions:

  • The study provides a fundamental theoretical understanding of MF-NG operational mechanisms, crucial for optimizing energy harvesting.
  • This work lays a foundation for designing and improving MF-NGs based on streaming potential principles.
  • The developed model enhances the comprehension of electrokinetic energy conversion in microfluidic devices.