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Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

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.
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

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...
The Fluid Mosaic Model01:34

The Fluid Mosaic Model

The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

Understanding steady, laminar flow between parallel plates is essential for analyzing and designing flow in narrow rectangular channels, commonly found in various water conveyance and drainage systems. The Navier-Stokes equations govern fluid motion and are generally challenging to solve due to their nonlinearity. However, simplifications are possible in certain cases, like the steady laminar flow between parallel plates. For this scenario, we assume steady, incompressible, laminar flow.
Accelerating Fluids01:17

Accelerating Fluids

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:
Viscosity of Fluid01:19

Viscosity of Fluid

Viscosity measures the resistance a fluid offers to flow and deformation. It results from internal friction between layers of fluid moving relative to one another. Dynamic viscosity, denoted by the Greek letter mu (μ), quantifies the force needed to move one fluid layer over another. For Newtonian fluids like water and air, the relationship between the shearing stress and the rate of shearing strain is linear, meaning their viscosity remains constant regardless of the applied stress.

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Related Experiment Video

Updated: May 17, 2026

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids
10:09

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids

Published on: March 5, 2014

Dynamic spreading of nanofluids on solids part II: modeling.

Kuan-Liang Liu1, Kirtiprakash Kondiparty, Alex D Nikolov

  • 1Department of Chemical and Biological Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, USA.

Langmuir : the ACS Journal of Surfaces and Colloids
|October 20, 2012
PubMed
Summary

Nanoparticle structuring in nanofluids drives spreading by creating a wedge film. Increasing nanoparticle concentration and decreasing size or interfacial tension accelerate this inner contact line movement.

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Last Updated: May 17, 2026

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids
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Area of Science:

  • Fluid dynamics
  • Nanotechnology
  • Surface science

Background:

  • Nanofluids exhibit self-layering and 2D structuring at the three-phase contact line.
  • This structuring generates disjoining pressure, enabling wedge film formation and driving nanofluid spreading.

Purpose of the Study:

  • Investigate the spreading dynamics of nanofluids on a solid surface against an oil drop.
  • Analyze the influence of various parameters on nanofluidic film formation and inner contact line velocity.

Main Methods:

  • Modeling the spreading process using Navier-Stokes equations via a lubrication approach.
  • Incorporating structural disjoining pressure, gravity, and van der Waals forces.
  • Analyzing temporal interface profiles and inner contact line velocity.

Main Results:

  • Increasing nanoparticle concentration and decreasing nanoparticle size or interfacial tension promotes faster inner contact line movement.
  • Nanofluidic film formation leads to a constant advancing inner contact line velocity.
  • This final velocity is independent of the outer contact angle when interfacial tension is constant.

Conclusions:

  • Structural disjoining pressure is a key mechanism for nanofluid spreading.
  • Controlling nanoparticle properties and interfacial tension allows for tunable spreading dynamics.
  • The study provides insights into the fundamental physics governing nanofluid behavior for practical applications.