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Sunny start to the new semester (April 2023). Show image information

Sunny start to the new semester (April 2023).

Photo: Paderborn University, Besim Mazhiqi

Dr. Litao Zhu

Contact
Profile
Publications
Dr. Litao Zhu

Fluid Process Engineering

PostDoc - CFD and data-driven modeling of mass and heat transfer in packed bed reactors

Phone:
+49 5251 60-2403
Phone:
+049 162 3383 967
Office:
E3.152
Web:
Visitor:
Pohlweg 55
33098 Paderborn
Visiting Postdoc

Multiscale computational fluid dynamics and data-driven modeling of multiphase flows & reactors

Reviews

Zhu L.T., Chen X.Z., Ouyang B., Yan W.C., Lei H., Chen Z., Luo Z.H., Review of machine learning for hydrodynamics, transport and reactions in multiphase flows and reactors. Industrial & Engineering Chemistry Research, 2022, 61(28), 9901-9949. Link

Papers

Zhu L.T., Ouyang B., Lei H., Luo Z.H., Conventional and data-driven modeling of mesoscale drag, heat transfer and reaction rate in gas-particle flows. AIChE Journal, 2021, 67(8), e17299. Link

Zhu L.T., Tang J.X., Luo Z.H., Machine learning to assist filtered two-fluid model development for dense gas-particle flows. AIChE Journal, 2020, 66(6), e16973. Link

Zhu L.T., Liu Y.X., Tang J.X., Luo Z.H., A material-property-dependent sub-grid drag model for coarse-grained simulation of 3D large-scale CFB risers. Chemical Engineering Science, 2019, 204, 228-245. Link

Zhu L.T., Y.X. Liu, Luo Z.H., An enhanced correlation for gas-particle heat and mass transfer in packed and fluidized bed reactors. Chemical Engineering Journal, 2019, 374, 531-544. Link

Zhu L.T., Liu Y.X., Luo Z.H., An effective three-marker drag model via sub-grid modeling for turbulent fluidization. Chemical Engineering Science, 2018, 192, 759-773. Link

 

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