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Related Concept Videos

Reynolds Transport Theorem01:24

Reynolds Transport Theorem

The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit mass.
Conservation of Mass in Finite Cotrol Volume01:16

Conservation of Mass in Finite Cotrol Volume

The principle of conservation of mass is a fundamental law in fluid mechanics and is applied using the continuity equation. We apply the concept to a finite control volume to derive the continuity equation.
A system is defined as a collection of unchanging contents, and the conservation of mass states that a system's mass is constant.
Equation of Continuity01:12

Equation of Continuity

Fluid motion is represented by either velocity vectors or streamlines. The volume of a fluid flowing past a given location through an area during a period of time is called the flow rate Q, or more precisely, the volume flow rate. Flow rate and velocity are related—for instance, a river has a greater flow rate if the velocity of the water in it is greater. However, the flow rate also depends on the size and shape of the river. The relationship between flow rate (Q) and average speed (v)...
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
Linear Momentum in Control Volume01:13

Linear Momentum in Control Volume

Newton's second law is applied to obtain the linear momentum in a control volume in a fluid system. According to this law, the rate of change of linear momentum is equal to the sum of external forces acting on the system. When a control volume matches the fluid system at a specific moment, the forces acting on both are identical. Reynolds transport theorem helps explain this by breaking down the system's linear momentum into two components: the rate of change of linear momentum within the...
Fundamental Theorem of Calculus I: Problem Solving01:22

Fundamental Theorem of Calculus I: Problem Solving

In many engineering and environmental applications, accumulated quantities are determined from rates that vary over time. A common example arises in water management, where a supply system pumps water into a storage tank at a rate that changes with time. Accurately determining how much water has entered the tank over a given period is essential for maintaining proper pressure, scheduling operations, and ensuring system safety.The flow rate of water into the tank is described by a time-dependent...

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Related Experiment Video

Updated: May 10, 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

Finite-time transport in volume-preserving flows.

B A Mosovsky1, M F M Speetjens, J D Meiss

  • 1Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands.

Physical Review Letters
|June 11, 2013
PubMed
Summary
This summary is machine-generated.

We developed a new method to calculate finite-time transport in chaotic flows by analyzing minimal sets of trajectories. This approach simplifies computations and allows for flexible region specification in fluid dynamics.

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Last Updated: May 10, 2026

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Area of Science:

  • Fluid dynamics
  • Chaos theory
  • Computational physics

Background:

  • Finite-time transport is crucial in many scientific fields but difficult to compute.
  • Extreme interfacial stretching in material volumes hinders quantitative analysis.

Purpose of the Study:

  • To present a novel framework for computing finite-time transport in n-dimensional volume-preserving flows.
  • To overcome computational challenges associated with interfacial stretching.

Main Methods:

  • Utilizing the reduced dynamics of an (n-2)-dimensional "minimal set" of fundamental trajectories.
  • Applying the framework to a 2D industrial mixing device.

Main Results:

  • The proposed framework enables efficient computation of finite-time transport.
  • It allows arbitrary specification of transport regions and reduces computational effort.
  • Demonstrated feasibility in a 2D industrial mixing application.

Conclusions:

  • The new framework offers a computationally tractable approach to studying finite-time transport.
  • It provides significant advantages over existing methods for analyzing material transport in chaotic flows.