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

Types of Fluids01:27

Types of Fluids

763
Fluids can be classified into Newtonian and non-Newtonian fluids based on their response to shear stress. Newtonian fluids have a linear relationship between shear stress and the shear strain rate, following Newton's law of viscosity. Their viscosity remains constant regardless of the shear rate, making their behavior predictable and easier to analyze. Common examples include water, air, oil, and gasoline.
In contrast, non-Newtonian fluids do not follow Newton's law of viscosity, and...
763
Rapidly Varying Flow01:24

Rapidly Varying Flow

305
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
305

You might also read

Related Articles

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

Sort by
Same author

Maternal Microbial Reservoirs Are Associated with Early Bacterial and Archaeal Community Assembly in Neonatal Hu Lambs.

Animals : an open access journal from MDPI·2026
Same author

Exosomal circPDSS1 Derived From Gastric Cancer Cells Promotes Natural Killer Cell Ferroptosis by Regulating the miR-142-3p/ACSL4 Molecular Axis.

Applied biochemistry and biotechnology·2026
Same author

Probabilistic mapping of lymph node metastasis in epithelial ovarian cancer: a retrospective cohort study using Bayesian network analysis.

Frontiers in oncology·2026
Same author

Dietary Fermented Chinese Chive Juice Improves Growth Performance and Reshapes the Fresh Meat Volatile Flavor Profile of Small-Tailed Han Sheep.

Animals : an open access journal from MDPI·2026
Same author

<i>Brucella</i> Infection Associated with Abdominal Aortic Rupture and Retroperitoneal Hematoma: A Case Report.

Journal of inflammation research·2026
Same author

IFI204-STING drives protective innate immunity against gangrenous <i>Clostridium perfringens</i> infection via regulation of NLRP3 signaling.

Frontiers in immunology·2026
Same journal

Nanopore sequencing with proteins: synchronization and dischronization of molecular dynamics simulations with laboratory and industrial developments.

Soft matter·2026
Same journal

Catanionics from biosurfactants and regular surfactants: miscibility and structure.

Soft matter·2026
Same journal

Adhesives with a thickness smaller than the fractocohesive length enhance adhesion.

Soft matter·2026
Same journal

Non-equilibrium phase transitions in hybrid Voronoi models of cell colonies.

Soft matter·2026
Same journal

Effects of methoxy substituents on self-assembly and gelation performance of benzamide-based organogelators.

Soft matter·2026
Same journal

Rheology of <i>Escherichia coli</i> suspensions with various bacterial morphologies and motion characteristics.

Soft matter·2026
See all related articles

Related Experiment Video

Updated: Dec 9, 2025

The Preparation of Electrohydrodynamic Bridges from Polar Dielectric Liquids
10:03

The Preparation of Electrohydrodynamic Bridges from Polar Dielectric Liquids

Published on: September 30, 2014

26.9K

Electrorheological fluids: structures and mechanisms.

Weijia Wen1, Xianxiang Huang1, Ping Sheng1

  • 1Department of Physics and the Institute of Nano Science and Technology, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong. sheng@ust.hk.

Soft Matter
|September 10, 2020
PubMed
Summary
This summary is machine-generated.

Electrorheological fluids change flow properties with electric fields. An effective dielectric constant model accurately predicts their behavior, including structure and stress, matching experimental results.

More Related Videos

Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions
08:41

Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions

Published on: September 7, 2018

9.3K
Dielectric RheoSANS &#8212; Simultaneous Interrogation of Impedance, Rheology and Small Angle Neutron Scattering of Complex Fluids
07:51

Dielectric RheoSANS — Simultaneous Interrogation of Impedance, Rheology and Small Angle Neutron Scattering of Complex Fluids

Published on: April 10, 2017

10.7K

Related Experiment Videos

Last Updated: Dec 9, 2025

The Preparation of Electrohydrodynamic Bridges from Polar Dielectric Liquids
10:03

The Preparation of Electrohydrodynamic Bridges from Polar Dielectric Liquids

Published on: September 30, 2014

26.9K
Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions
08:41

Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions

Published on: September 7, 2018

9.3K
Dielectric RheoSANS &#8212; Simultaneous Interrogation of Impedance, Rheology and Small Angle Neutron Scattering of Complex Fluids
07:51

Dielectric RheoSANS — Simultaneous Interrogation of Impedance, Rheology and Small Angle Neutron Scattering of Complex Fluids

Published on: April 10, 2017

10.7K

Area of Science:

  • Colloid Science
  • Materials Science
  • Physics

Background:

  • Electrorheology (ER) involves controlling fluid properties with electric fields.
  • Understanding ER fluid behavior is crucial for advanced material applications.
  • Existing models may not fully capture complex ER phenomena.

Purpose of the Study:

  • To delineate the fundamental characteristics of electrorheological (ER) fluids.
  • To validate the predictive power of an effective dielectric constant model for ER fluids.
  • To describe and contrast the giant ER effect with conventional ER effects.

Main Methods:

  • Theoretical modeling using an effective dielectric constant concept.
  • Analysis of ground state structure and structural transitions under combined fields.
  • Investigation of high-field yield stress and particle size dependency.
  • Description of the giant electrorheological effect originating from molecular dipoles.

Main Results:

  • The effective dielectric constant model provides quantitative predictions for ER fluid behavior.
  • Model predictions for ground state structure, field-induced transitions, and yield stress align well with experimental data.
  • The study differentiates between conventional ER effects (induced polarization) and the giant ER effect (molecular dipoles).

Conclusions:

  • The effective dielectric constant model is a powerful tool for understanding and predicting ER fluid characteristics.
  • Experimental validation supports the model's accuracy across various parameters.
  • Distinguishing between different origins of ER effects is key for targeted applications.