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Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

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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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General External Flow Characteristics01:26

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The study of external flow is essential for creating structures and objects that interact efficiently and safely with moving fluids, such as air or water. When a body is immersed in a flowing fluid, it experiences two primary forces: drag, which opposes motion along the flow direction, and lift, which acts perpendicular to the flow. The shape, size, and orientation of the object influence these forces.Streamlined and Blunt Bodies in External FlowObjects in fluid flow are classified as...
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Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

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Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
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Hagen-Poiseuille flow describes a viscous fluid's steady, incompressible flow through a cylindrical tube with a constant radius R. This flow profile is often applied to understand fluid transport in narrow channels, such as capillaries. It serves as a foundational example of laminar flow. In this model, cylindrical coordinates (r,θ,z) are used to describe the radial (r), angular (θ), and axial (z) dimensions within the tube. For Hagen-Poiseuille flow, the velocity profile is...
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Turbulent Flow: Problem Solving01:09

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Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
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Steady Flow of a Fluid Stream01:27

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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.
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Generative design of large-scale fluid flow structures via steady-state diffusion-based dehomogenization.

Sarah N Hankins1, Yuqing Zhou2, Danny J Lohan1

  • 1Electronics Research Department, Toyota Research Institute of North America, 1555 Woodridge Avenue, Ann Arbor, MI, 48105, USA.

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A new bioinspired method uses a steady-state diffusion model to efficiently create complex microchannel designs for fluid flow. This approach speeds up multiphysics engineering by generating hundreds of unique designs for microreactors.

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Area of Science:

  • Multiphysics Engineering
  • Computational Fluid Dynamics
  • Bioinspired Design

Background:

  • Traditional diffusion models for pattern generation are computationally intensive due to time and space dependencies.
  • Developing efficient methods for dehomogenization is crucial for complex engineering designs.

Purpose of the Study:

  • To develop a computationally efficient dehomogenization technique using a bioinspired, steady-state diffusion model.
  • To enable rapid generation of explicit large-scale fluid flow channel structures from orientation fields.
  • To explore the application of steady-state pattern generation in multiphysics engineering design.

Main Methods:

  • Developed a dehomogenization technique based on a bioinspired diffusion-pattern generation algorithm.
  • Solved the steady-state Swift-Hohenberg equation, removing temporal dependency for computational speedup.
  • Applied the method to dehomogenize optimized orientation fields for microreactor flow structures, including porous gas diffusion layers.

Main Results:

  • The steady-state model produced statistically equivalent solutions to transient models with potential computational speedup.
  • Generated 200 unique microreactor flow channel designs by dehomogenizing optimized orientation fields.
  • Demonstrated comprehensive exploration of bioinspired solutions and design spaces.

Conclusions:

  • The steady-state diffusion-based dehomogenization approach offers significant computational efficiency for engineering design.
  • This method enables rapid and comprehensive exploration of complex, bioinspired microchannel structures.
  • The technique is well-suited for multiphysics engineering applications requiring dehomogenization of optimized fields.