An improved direct-forcing immersed boundary method with inward retraction of Lagrangian points for simulation of particle-laden flows
Creators
- 1. State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027 (China)
Description
Highlights: • Optimal retraction distance of Lagrangian points is proposed for direct-forcing immersed boundary method. • The effective hydrodynamic diameter is dynamically corrected. • Higher accuracy is achieved for both drag force and flow field. • The improved method is less sensitive to gird resolution. -- Abstract: The direct-forcing immersed boundary is widely adopted to study particle-laden flows. The effective hydrodynamic diameter of the particle is much or less overestimated by the original immersed boundary method, depending on the particle Reynolds number and grid resolution. In this paper, we propose an improved method to dynamically correct the effective hydrodynamic diameter by retracting inward the Lagrangian points to varying distances. The retraction distance is determined by querying a function fitted in this paper. The improved method is tested and validated by several cases, including falling of a spherical particle under gravity, the uniform flow past two stationary particles and the drafting-kissing-tumbling phenomenon of two settling particles. It turns out the improved method not only provides better results for the drag force but also predicts the flow field more accurately. What's more, due to the insensitivity to grid resolution, the improved method is suitable for simulating large-scale fluid–particle systems such as fluidized bed, which are computationally expensive.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jcp.2018.09.037Additional details
Identifiers
- DOI
- 10.1016/j.jcp.2018.09.037;
- PII
- S0021999118306399;
Publishing Information
- Journal Title
- Journal of Computational Physics (Print)
- Journal Volume
- 376
- Journal Page Range
- p. 210-227
- ISSN
- 0021-9991
- CODEN
- JCTPAH
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54127029
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- COMPUTERIZED SIMULATION; FLUIDIZED BEDS; FLUIDS; GRAVITATION; HYDRODYNAMICS; LAGRANGIAN FUNCTION; RESOLUTION; REYNOLDS NUMBER; SPHERICAL CONFIGURATION
- Descriptors DEC
- CONFIGURATION; DIMENSIONLESS NUMBERS; FLUID MECHANICS; FUNCTIONS; MECHANICS; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier Inc. All rights reserved.