Published January 2019 | Version v1
Journal article

An improved direct-forcing immersed boundary method with inward retraction of Lagrangian points for simulation of particle-laden flows

  • 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.2018.09.037

Additional 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.