Topology optimization for particle flow problems using Eulerian-Eulerian model with a finite difference method

Chen, Chih Hsiang; Yaji, Kentaro

Computers and Fluids, 2025, 291, 106573

Number of Access:297（2025-08-13 22:08 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/100983

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Title
Topology optimization for particle flow problems using Eulerian-Eulerian model with a finite difference method
Creator
CreatorName
Chen, Chih Hsiang
NRID
1000090779373 1000090779373
ORCID
0000-0002-4309-2043 0000-0002-4309-2043
researchmap permalink
yajiken0609 yajiken0609
Scopus Author ID
55787947500 55787947500
CreatorName
Yaji, Kentaro
Subject
Eulerian–Eulerian model
Finite difference method
Particle flow
Topology optimization
Description
Chen C.H., Yaji K.. Topology optimization for particle flow problems using Eulerian-Eulerian model with a finite difference method. Computers and Fluids 291, 106573 (2025); https://doi.org/10.1016/j.compfluid.2025.106573.
Abstract
Particle flow processing is widely employed across various industrial applications and technologies. Due to the complex interactions between particles and fluids, designing effective devices for particle flow processing is challenging. In this study, we propose a topology optimization method to design flow fields that effectively enhance the resistance encountered by particles. Particle flow is simulated using an Eulerian–Eulerian model based on a finite difference method. Automatic differentiation is implemented to compute sensitivities using a checkpointing algorithm. We formulate the optimization problem as maximizing the variation of drag force on particles while reducing fluid power dissipation. Initially, we validate the finite difference flow solver through numerical examples of particle flow problems and confirm that the corresponding topology optimization produces a result comparable to the benchmark problem. In the optimization cases, we explore both symmetric and asymmetric flow scenarios. For the symmetric flow case, the optimized flow fields indicate that serpentine flow fields can enhance particle drag variation while accounting for power dissipation. Furthermore, we investigate the effects of Reynolds numbers (Re≤100) and Stokes numbers (St<1) on the optimized flow field. The results demonstrate that increasing the Reynolds number results in more bends and greater curvature in the flow field, whereas increasing the Stokes number reduces these features. For the asymmetric flow case, gravity influences particle distribution, leading the serpentine flow paths to adjust their overall orientation to align with these regions of higher particle concentration.
Publisher
Elsevier Ltd
Source Title
Computers and Fluids
Volume (Issue)
291
Page
106573
Date of Issued
2025-04-15
Language
English
Handle URL
https://hdl.handle.net/11094/100983
PISSN
00457930
Relation.isIdenticalTo
DOI (Publisher Version)
https://doi.org/10.1016/j.compfluid.2025.106573
Access Rights
open access
CopyRight
This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version
Version of Record
Category
学術雑誌論文 Journal Article