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

Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

598
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...
598

You might also read

Related Articles

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

Sort by
Same author

A Review on Perception of Binding Kinetics in Affinity Biosensors: Challenges and Opportunities.

ACS omega·2025
Same author

Simulation of Flow Around a Finite Rectangular Prism: Influence of Mesh, Model, and Subgrid Length Scale.

Entropy (Basel, Switzerland)·2025
Same author

Infusion Simulation of Graphene-Enhanced Resin in LCM for Thermal and Chemo-Rheological Analysis.

Materials (Basel, Switzerland)·2024
Same author

Wind Energy Harvesting with Vertically Aligned Piezoelectric Inverted Flags.

Sensors (Basel, Switzerland)·2023
Same author

A Numerical Thermo-Chemo-Flow Analysis of Thermoset Resin Impregnation in LCM Processes.

Polymers·2023
Same author

Numerical Simulation of a Core-Shell Polymer Strand in Material Extrusion Additive Manufacturing.

Polymers·2021

Related Experiment Video

Updated: Oct 30, 2025

Generation of Size-controlled Poly ethylene Glycol Diacrylate Droplets via Semi-3-Dimensional Flow Focusing Microfluidic Devices
11:08

Generation of Size-controlled Poly ethylene Glycol Diacrylate Droplets via Semi-3-Dimensional Flow Focusing Microfluidic Devices

Published on: July 3, 2018

8.0K

Non-Newtonian Droplet Generation in a Cross-Junction Microfluidic Channel.

Maryam Fatehifar1, Alistair Revell1, Masoud Jabbari1

  • 1Department of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester M13 9PL, UK.

Polymers
|July 2, 2021
PubMed
Summary

This study uses computational fluid dynamics to model non-Newtonian droplet formation in microfluidics. Shear-thinning fluids reduce droplet size but increase detachment time, offering control over droplet characteristics.

Keywords:
CFDcross-junctiondropletmicrofluidicsnon-Newtonianpower-law

More Related Videos

Capillary-based Centrifugal Microfluidic Device for Size-controllable Formation of Monodisperse Microdroplets
08:20

Capillary-based Centrifugal Microfluidic Device for Size-controllable Formation of Monodisperse Microdroplets

Published on: February 22, 2016

10.6K
Glass-Based Devices to Generate Drops and Emulsions
08:45

Glass-Based Devices to Generate Drops and Emulsions

Published on: April 5, 2022

2.9K

Related Experiment Videos

Last Updated: Oct 30, 2025

Generation of Size-controlled Poly ethylene Glycol Diacrylate Droplets via Semi-3-Dimensional Flow Focusing Microfluidic Devices
11:08

Generation of Size-controlled Poly ethylene Glycol Diacrylate Droplets via Semi-3-Dimensional Flow Focusing Microfluidic Devices

Published on: July 3, 2018

8.0K
Capillary-based Centrifugal Microfluidic Device for Size-controllable Formation of Monodisperse Microdroplets
08:20

Capillary-based Centrifugal Microfluidic Device for Size-controllable Formation of Monodisperse Microdroplets

Published on: February 22, 2016

10.6K
Glass-Based Devices to Generate Drops and Emulsions
08:45

Glass-Based Devices to Generate Drops and Emulsions

Published on: April 5, 2022

2.9K

Area of Science:

  • Fluid Dynamics
  • Microfluidics
  • Computational Science

Background:

  • Microfluidic devices enable precise control over fluid behavior.
  • Understanding droplet formation is crucial for applications like drug delivery and materials science.
  • Non-Newtonian fluids exhibit complex flow properties impacting droplet dynamics.

Purpose of the Study:

  • To investigate non-Newtonian power-law droplet generation in a microfluidic cross-junction.
  • To analyze the effects of shear-thinning behavior on droplet size and detachment time.
  • To explore the influence of rheological parameters on droplet formation regimes.

Main Methods:

  • A two-dimensional Computational Fluid Dynamics (CFD) model using the Volume-of-Fluid (VOF) method.
  • Utilized open-source software OpenFOAM with the interFoam solver.
  • Simulated non-Newtonian power-law droplets in a Newtonian continuous phase.

Main Results:

  • Shear-thinning fluids resulted in smaller droplet sizes compared to Newtonian fluids.
  • Detachment time increased for non-Newtonian droplets due to higher apparent viscosity.
  • Rheological parameters (n and K) significantly affected droplet size and detachment time, especially in dripping and jetting regimes.

Conclusions:

  • Non-Newtonian fluid properties, specifically shear-thinning, can be leveraged to control droplet size and formation time in microfluidics.
  • Rheological parameters can influence droplet formation regimes at high capillary numbers.
  • This research enhances the understanding of non-Newtonian droplet formation for applications using shear-thinning polymeric solutions.