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Updated: Jul 7, 2026
11:51
Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
Published on: February 22, 2018
Full-scale solutions to particle-laden flows: Multidirect forcing and immersed boundary method.
Kun Luo1, Zeli Wang, Jianren Fan
1State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, People's Republic of China.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|February 1, 2008
Summary
A new computational method accurately simulates particle-laden flows and fluid-structure interactions. The technique reveals novel phenomena like rotation shifting during particle sedimentation near walls.
Area of Science:
- Fluid dynamics
- Computational physics
- Particle transport
Background:
- Particle-laden flows are crucial in various scientific and engineering fields.
- Accurate simulation of fluid-structure interactions is essential for understanding these flows.
- Existing methods often face challenges in efficiency and accuracy.
Purpose of the Study:
- To develop and validate a novel computational approach for simulating particle-laden flows.
- To accurately model hydrodynamic interactions between solid boundaries and Newtonian fluids.
- To investigate particle sedimentation phenomena near a vertical wall.
Main Methods:
- A multidirect forcing technique combined with an immersed boundary method.
- Lagrangian points represent immersed solid boundaries, enforcing no-slip conditions.
- Validation through simulations of flow past a circular disc and particle sedimentation.
Main Results:
- The proposed method accurately predicts hydrodynamic interactions for stationary and moving boundaries.
- Simulations show good agreement with existing experimental and numerical data.
- Observed phenomena include anomalous rolling, lateral migration, and rotation shifting during wall proximity sedimentation.
Conclusions:
- The multidirect forcing and immersed boundary method offers a simple yet efficient solution for particle-laden flows.
- The method successfully captures complex particle behaviors near boundaries.
- This approach provides a robust tool for further research in fluid dynamics and particle transport.
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