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Related Concept Videos

Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
Velocity Potential01:20

Velocity Potential

In steady, incompressible flow through a long, straight pipe with a uniform cross-section, the flow in the central region (far from the pipe walls) is irrotational. This irrotational nature means that fluid particles do not rotate around their axes, and a scalar function called the velocity potential, represented by ϕ, can be used to describe their movement. In irrotational flows, the velocity field V is defined as the gradient of the velocity potential:
Bernoulli's Equation00:59

Bernoulli's Equation

In the middle of the nineteenth century, it was observed that two trains passing each other at a high relative speed get pulled towards each other. The same occurs when two cars pass each other at a high relative speed. The reason is that the fluid pressure drops in the region where the fluid speeds up. As the air between the trains or the cars increases in speed, its pressure reduces. The pressure on the outer parts of the vehicles is still the atmospheric pressure, while the resultant...
Column Efficiency: Rate Theory01:12

Column Efficiency: Rate Theory

The rate theory of chromatography provides quantitative insight into the shapes and widths of elution bands. These bands are based on the random-walk mechanism governing molecular migration within a column. The Gaussian profile of chromatographic bands arises from the cumulative effect of random molecular motions as they progress through the column.
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Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the streamlines...

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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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Velocity and cluster distributions in a bottleneck system.

Vidar Frette1, Per C Hemmer

  • 1Department of Engineering, Stord/Haugesund College, Bjørnsonsgt. 45, N-5528 Haugesund, Norway. vidar.frette@hsh.no

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 7, 2010
PubMed
Summary

Particles moving in one direction form clusters behind slower ones, influencing their speeds. Average particle velocities follow a power law, but global speed critically depends on initial velocity distributions.

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Area of Science:

  • Physics
  • Statistical Mechanics
  • Nonlinear Dynamics

Background:

  • Particles moving unidirectionally without overtaking exhibit emergent clustering behavior.
  • The motion of individual particles is constrained by slower particles ahead, forming queues.

Purpose of the Study:

  • To analyze velocity and cluster distributions for particles in one-dimensional motion.
  • To investigate how particle interactions and initial conditions affect emergent collective behavior.

Main Methods:

  • Studied particle dynamics considering all possible permutations of initial velocities.
  • Derived analytical expressions for average particle and cluster properties.
  • Examined the relationship between initial velocity distributions and global velocity.

Main Results:

  • The average number of particles with a given velocity follows a power law for large velocities.
  • Cluster density is independent of cluster size but varies with cluster velocity.
  • Global velocity is highly sensitive to the distribution of initial particle velocities.

Conclusions:

  • Particle clustering in one-dimensional systems leads to velocity dependencies governed by slower particles.
  • The emergent collective behavior, including global velocity, is critically dependent on the initial conditions and their distribution.