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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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Capillarity in Fluid01:19

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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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Steady, Laminar Flow Between Parallel Plates01:17

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Steady, Laminar Flow in Circular Tubes01:23

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Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
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Time-Dependent Model for Fluid Flow in Porous Materials with Multiple Pore Sizes.

Brian M Cummins1, Rukesh Chinthapatla1, Frances S Ligler1

  • 1Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University , Raleigh, North Carolina 27695, United States.

Analytical Chemistry
|March 29, 2017
PubMed
Summary
This summary is machine-generated.

A new fluid transport model accounts for varying pore sizes in porous materials, improving predictions for capillary-driven flow in paper-based devices. This enhances accuracy for applications like lateral flow assays.

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Area of Science:

  • Fluid Dynamics
  • Materials Science
  • Analytical Chemistry

Background:

  • Accurate modeling of fluid transport in porous media is crucial for paper microfluidics and lateral flow assays.
  • Existing models often oversimplify porous materials by assuming uniform pore size, leading to inaccuracies in predicting fluid behavior over time and distance.

Purpose of the Study:

  • To develop a novel transport model that incorporates a distribution of pore sizes for more accurate capillary fluid transport prediction.
  • To validate the model's efficacy in predicting fluid saturation in paper-based microfluidic devices.

Main Methods:

  • A new mathematical model was developed to simulate fluid transport considering a range of pore sizes.
  • The model was applied to predict the time-dependent saturation of Whatman filter paper no. 1 strips.
  • Model predictions were validated against experimental data and material properties.

Main Results:

  • The new model accurately predicts the time-dependent saturation of porous paper strips.
  • Incorporating a pore size distribution significantly improves the accuracy of fluid transport modeling compared to single-pore models.
  • The model effectively utilizes manufacturer data, pore-size distribution measurements, and fluid properties.

Conclusions:

  • The developed pore-size-distribution-aware model offers a more realistic and accurate approach to simulating capillary fluid transport in porous materials.
  • This advancement is vital for the precise design and optimization of paper microfluidic devices and lateral flow assays.
  • The model's predictive power is demonstrated for a common filter paper, showing its practical applicability.