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Density00:56

Density

Density is an important characteristic of substances, crucial in determining whether an object sinks or floats in a fluid. Its SI unit is kg/m3, and its cgs unit is g/cm3. The density of an object helps in identifying its composition, and also reveals information about the phase of the matter and its substructure. The densities of liquids and solids are roughly comparable, consistent with the fact that their atoms are in close contact. However, gases have much lower densities than liquids and...
Major Losses in Pipes01:28

Major Losses in Pipes

When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to viscous...
Linear Approximations01:23

Linear Approximations

For a differentiable function of two variables, linear approximation estimates values near a known point by replacing the curved surface with its tangent plane. Consider the function\begin{equation*}f(x,y)=x^2+3y^2\end{equation*}near the point (2, 1). The exact value at this point is f(2, 1) = 22 + 3(1)2 = 4 + 3 = 7.The linear approximation of f(x, y)) near (a, b) is\begin{equation*}L(x,y)=f(a,b)+f_x(a,b)(x-a)+f_y(a,b)(y-b)\end{equation*}First, compute the partial derivatives: fx(x, y) = 2x and...
Navier–Stokes Equations01:28

Navier–Stokes Equations

For incompressible Newtonian fluids, where density remains constant, stresses show a linear relationship with the deformation rate, defined by normal and shear stresses. Normal stresses depend on the pressure exerted on the fluid and the rate of deformation in specific directions, which determines how fluid flows under varying pressures. Shear stresses, on the other hand, act tangentially across fluid layers. They explain how adjacent fluid layers slide relative to one another, connecting...
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
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...

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Related Experiment Video

Updated: Jun 12, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

Modification of classical approximations for diffusion in fluids with density gradients.

G L Aranovich1, J R Whitman, M D Donohue

  • 1Department of Chemical & Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.

Physical Chemistry Chemical Physics : PCCP
|June 18, 2010
PubMed
Summary

This study introduces a new diffusion equation for fluids with density gradients, accounting for molecular path asymmetry. The model aligns with Einstein

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Last Updated: Jun 12, 2026

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Area of Science:

  • Fluid dynamics
  • Statistical mechanics
  • Physical chemistry

Background:

  • Classical diffusion models often simplify molecular behavior.
  • Density gradients in fluids introduce complexities in transport phenomena.
  • Understanding diffusion is crucial for various chemical and physical processes.

Purpose of the Study:

  • To develop a more accurate diffusion equation for fluids with density gradients.
  • To incorporate molecular asymmetry into diffusion modeling.
  • To validate the new model against established theories and simulations.

Main Methods:

  • Analysis of classical approximations for diffusion.
  • Derivation of a new diffusion equation.
  • Comparison with Einstein's evolution equation.
  • Validation using molecular dynamic simulations.

Main Results:

  • A novel diffusion equation is formulated.
  • The equation accounts for asymmetric molecular mean-free paths.
  • The flux term incorporates velocity distribution effects.
  • The model demonstrates consistency with theoretical predictions and simulation data.

Conclusions:

  • The new diffusion model offers improved accuracy for systems with density gradients.
  • The incorporation of molecular asymmetry is key to the model's success.
  • The findings support the broader applicability of the derived diffusion equation.