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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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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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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.
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A Mini Review on Fluid Topology Optimization.

He Li1, Cong Wang1, Xuyu Zhang1

  • 1School of Engineering, RMIT University, Melbourne 3001, Australia.

Materials (Basel, Switzerland)
|September 28, 2023
PubMed
Summary
This summary is machine-generated.

Topology optimization advances fluid dynamics designs, reviewing density-based methods for diverse flow conditions. Future directions include isogeometric analysis and machine learning for enhanced performance and validation.

Keywords:
Navier–Stokes flowsfluid topology optimizationisogeometric analysis

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Area of Science:

  • Engineering
  • Computational Fluid Dynamics
  • Materials Science

Background:

  • Topology optimization is crucial for high-performance fluid applications like aircraft components and microfluidic mixers.
  • The density-based approach is widely used for its simplicity, robustness, and ease of implementation in structural design.

Purpose of the Study:

  • To comprehensively review technical progress in topology optimization for fluid-related applications over the last decade.
  • To analyze advancements from the perspective of structural expression, focusing on boundary smoothness and computational efficiency.

Main Methods:

  • Review of density-based topology optimization for various fluid flows: Stokes, laminar Navier-Stokes, turbulent, non-Newtonian, and unsteady-state.
  • Discussion of isogeometric analysis (IGA) and moving morphable components/voids (MMC/MMV) methods for CAD integration and reduced computational cost.
  • Concentration on level set and spline expression methods for achieving smoother boundaries and lower energy dissipation.

Main Results:

  • Density-based methods are effective across a wide range of fluid flow regimes.
  • IGA and MMC/MMV methods offer significant advantages in design integration and computational efficiency.
  • Smoother boundaries, achieved through level set and spline methods, show potential for further reducing energy dissipation.

Conclusions:

  • Topology optimization, particularly density-based methods, has seen substantial progress in fluid applications.
  • Isogeometric analysis and machine learning are identified as key future directions for the field.
  • Challenges remain in accurate fluid model construction and experimental validation of optimized designs.