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An artificial neural network-based drag model modification method for microbubble flow

delete2026-09-03
delete0
PRE
AI
L
Linxiao Zhai
Y
Yizhou Cui
C
Chengxiang Li
Y
Yuhui Li
Y
Yitong Cheng
Y
Yunpeng Zhao
蓝兴英 封面图
蓝兴英 (Xingying Lan)
高金森 封面图
高金森 (Jinsen Gao)
C
Chunming Xu
X
Xiaogang Shi *
DOI：10.1002/aic.70639delete
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摘要

摘要

En 中文
精确的气-液曳力模型对于模拟微气泡反应器的流体动力学至关重要。然而，将气泡群相互作用纳入模型仍然具有挑战性。本研究使用高速成像技术识别了气体持气率和气泡尺寸-体积分布（BSVD）作为调控微气泡群效应的关键参数，这些效应被归类为加速、阻碍或弱相互作用。提出了一种基于人工神经网络（ANN）的通用曳力修正方法，用于在广泛的操作条件下纳入群动力学。通过将高保真度计算流体动力学（CFD）模拟与实验数据进行比较对模型进行了验证。结果表明，经过ANN修正的曳力模型在预测总体气体持气率和再现不同群效应区域方面，其准确性显著高于传统曳力模型。
Keyword:
ANN
CFD simulation
drag model
microbubble
microbubble swarm effect

期刊

AIChE Journal 封面图
AIChE Journal
IF:
4
论文数:
1.1W
被引数:
2.9W

机构

C
china university of petroleum
学者数:
4.1W
论文数: 2.7W
被引数: 30
引用论文

引用论文

Hydrodynamics in microbubble column reactors: Effect of operating conditions and liquid properties微气泡柱反应器中的流体动力学：操作条件和液体性质的影响
errJournal of Environmental Chemical Engineering
IF7.2
err2026-06-01
err0
PREAI
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err分享
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Large scale preparation of microbubbles by multi‐channel ceramic membranes: Hydrodynamics and mass transfer characteristics
errThe Canadian Journal of Chemical Engineering
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err2017-03-22
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PREAI
errYang Han; Yefei Liu; Hong Jiang; Weihong Xing; Rizhi Chen
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Hydrodynamics, mass transfer, and hydrogenation performance of a HiGee-aided fixed bed reactor
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err4
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Multimode residual monitoring of particle concentration in flue gas from Fluid Catalytic Cracking regenerator
errCONTROL ENGINEERING PRACTICE
IF4.6
err2025-03-01
err1
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On the drag force of bubbles in bubble swarms at intermediate and high Reynolds numbers
errCHEMICAL ENGINEERING SCIENCE
IF4.3
err2011-07-01
err147
PREAI
errRoghair, I.; Lau, Y. M.; Deen, N. G.; Slagter, H. M.; Baltussen, M. W.; Annaland, M. Van Sint; Kuipers, J. A. M.
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errCHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
IF3.9
err2013-02-01
err231
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Mass transfer from freely rising microbubbles in aqueous solutions of surfactant or salt
errCHEMICAL ENGINEERING JOURNAL
IF13.2
err2020-05-01
err63
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errTanaka, Shunya; Kastens, Sven; Fujioka, Satoko; Schlueter, Michael; Terasaka, Koichi
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Microinterface intensification in hydrogenation and air oxidation processes
errCHINESE JOURNAL OF CHEMICAL ENGINEERING
IF3.7
err2022-10-01
err7
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errQian, Hongliang; Tian, Hongzhou; Yang, Guoqiang; Yang, Gaodong; Li, Lei; Zhang, Feng; Zhou, Zheng; Huang, Weihua; Chen, Yufu; Zhang, Zhibing
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Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications
errThe European Physical Journal E
IF0
err2023-05-08
err0
errOAAI
errMihir Durve; Sibilla Orsini; Adriano Tiribocchi; Andrea Montessori; Jean-Michel Tucny; Marco Lauricella; Andrea Camposeo; Dario Pisignano; Sauro Succi
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A multiscale adaptive framework based on convolutional neural network: Application to fluid catalytic cracking product yield prediction
errPETROLEUM SCIENCE
IF6.1
err2024-08-01
err2
errOAAI
errLiu, Nan; Zhu, Chun-Meng; Zhang, Meng-Xuan; Lan, Xing-Ying
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