A data-driven model of drop size prediction based on artificial neural networks using small-scale data sets

Wang, Bo; Zhou, Han; Jing, Shan; Zheng, Qiang; Lan, Wenjie; Li, Shaowei

doi:10.1016/j.cjche.2023.11.001

Chinese Journal of Chemical Engineering

2024

DOI: 10.1016/j.cjche.2023.11.001

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A data-driven model of drop size prediction based on artificial neural networks using small-scale data sets

Bo Wang,

Han Zhou,

Shan Jing

et al.

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Cited by 2 publications

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A CFD‐PBM‐ANN framework to simulate the liquid–liquid two‐phase flow in a pulsed column

Wang,

Ma,

Zhou

et al. 2024

AIChE Journal

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CFD‐PBM numerical simulation is a powerful tool in the research of droplet swarm behavior. In this work, an artificial neural network (ANN) based droplet breakage frequency function is established based on the directly measured data from our previous studies. Then, the weights and biases of ANN are embedded into the CFD‐PBM code in the form of matrices and vectors. For the first time, a CFD‐PBM‐ANN simulation framework is established. Simulation results are in good agreement with the experimental data under different operation conditions. The cumulative droplet size distribution decreases with the increase of interfacial tension and pulse intensity. It is also found by the simulation that the droplet breakage frequency is relatively high at the edge of disc and doughnut plate, which is accordant with the distribution of turbulent energy dissipation and velocity gradient.

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A CFD‐PBM‐ANN framework to simulate the liquid–liquid two‐phase flow in a pulsed column

Wang,

Ma,

Zhou

et al. 2024

AIChE Journal

View full text Add to dashboard Cite

show abstract

Application of wavelet neural network with chaos theory for enhanced forecasting of pressure drop signals in vapor−liquid−solid fluidized bed evaporator

Xu,

Zhang,

et al. 2024

Chinese Journal of Chemical Engineering

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A data-driven model of drop size prediction based on artificial neural networks using small-scale data sets

Cited by 2 publications

References 65 publications

A CFD‐PBM‐ANN framework to simulate the liquid–liquid two‐phase flow in a pulsed column

A CFD‐PBM‐ANN framework to simulate the liquid–liquid two‐phase flow in a pulsed column

Application of wavelet neural network with chaos theory for enhanced forecasting of pressure drop signals in vapor−liquid−solid fluidized bed evaporator

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