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Related Concept Videos

Drag01:23

Drag

Drag is a resistive force opposing an object’s motion through a fluid, resulting from surface pressure and shear forces. It comprises two components: a perpendicular one from pressure and a tangential one from shear stress. Accurate drag calculations use pressure and wall shear stress distributions, often determined through Computational Fluid Dynamics (CFD) or wind tunnel testing. The drag coefficient, a dimensionless measure, depends on factors like shape, Reynolds number, Mach number, Froude...
Correlation of Experimental Data01:23

Correlation of Experimental Data

Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity, and...
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When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
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Classification and Mechanical Properties of Synthetic Polymers

Synthetic polymers are classified as elastomers, fibers, or plastics based on their crystallinity. Crystallinity, the degree of long-range order in the solid state, influences the mechanical properties (stretching or contracting) of elastomers. Elastomers are flexible polymers that can expand or contract easily upon the application of an external force. They have numerous crosslinks that pull them back into their original shape when stress is removed. Silicones, for instance, are highly elastic...
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An interesting force in everyday life is the force of drag on an object when it is moving in a fluid. Like friction, the drag force always opposes the motion of an object. Unlike simple friction, the drag force is proportional to some function of the velocity of the object in that fluid. This functionality is complicated and depends upon the shape of the object, its size, its velocity, and the fluid it is in. For most large objects, such as cyclists, cars, and baseballs, that are not moving too...
Typical Model Studies01:30

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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.

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Maximum drag reduction simulation using rodlike polymers.

J J J Gillissen1

  • 1Department of Chemical Engineering, Delft University of Technology, Julianalaan 136, 2628 BL Delft, the Netherlands.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 11, 2012
PubMed
Summary
This summary is machine-generated.

Simulations of maximum drag reduction (MDR) in channel flow show higher turbulent kinetic energy than experiments, likely due to ignoring polymer interactions. However, simulations still capture key MDR features, independent of polymer concentration.

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Area of Science:

  • Fluid Dynamics
  • Polymer Physics

Background:

  • Maximum drag reduction (MDR) is crucial for energy efficiency in fluid systems.
  • Understanding polymer dynamics in turbulent flow is complex.
  • Current simulations often simplify polymer interactions.

Purpose of the Study:

  • To compare simulation results of MDR in channel flow with experimental data.
  • To investigate the impact of polymer interactions on turbulent kinetic energy.
  • To identify universal features of MDR independent of polymer concentration.

Main Methods:

  • Utilizing constitutive equations for suspensions of noninteracting rods in channel flow simulations.
  • Comparing simulation predictions of turbulent kinetic energy with experimental data from rodlike polymers.
  • Analyzing mean flow profiles and shear stress budgets.

Main Results:

  • Simulations predict significantly higher turbulent kinetic energy than experiments.
  • Discrepancies are attributed to the neglect of polymer-polymer interactions in simulations.
  • Essential features of MDR, including universal mean flow profiles and shear stress budgets, are correctly reproduced.

Conclusions:

  • Simulations provide valuable insights into MDR phenomena despite simplifications.
  • Polymer interactions play a significant role in turbulent kinetic energy levels.
  • The universality of MDR flow profiles and shear stress budgets is confirmed.