Shuxian Jiang

ORCID: 0000-0003-4104-714X
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About
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Research Areas
  • Fluid Dynamics and Heat Transfer
  • Granular flow and fluidized beds
  • Cyclone Separators and Fluid Dynamics
  • Fluid Dynamics and Mixing
  • Rheology and Fluid Dynamics Studies
  • Minerals Flotation and Separation Techniques
  • Electrohydrodynamics and Fluid Dynamics
  • Fluid Dynamics and Turbulent Flows
  • Combustion and flame dynamics
  • Drilling and Well Engineering
  • Electrochemical Analysis and Applications
  • Wind and Air Flow Studies
  • Fuel Cells and Related Materials
  • Lattice Boltzmann Simulation Studies
  • Electrocatalysts for Energy Conversion
  • Aerodynamics and Acoustics in Jet Flows
  • Fluid Dynamics Simulations and Interactions
  • Iron and Steelmaking Processes

University College London
2021-2025

State Key Laboratory of Chemical Engineering
2019-2023

Zhejiang University
2019-2023

Engineering and Physical Sciences Research Council
2023

Abstract Employing oscillatory gas flows to create ordered bubble dynamics in fluidized beds represents a promising approach reactor design, enhancing efficiency, scalability, and control. This study reports an extensive experimental campaign that identifies the operational regime for structuring Geldart B beds, introducing novel pattern recognition algorithm quantify flow stability distinguish between “structured” “unstructured” oscillating beds. The analysis reveals characteristic features...

10.1002/aic.18681 article EN cc-by AIChE Journal 2025-01-16

Effective water management is crucial for the optimal operation of low-temperature polymer electrolyte membrane fuel cells (PEMFCs). Excessive liquid production can cause flooding in gas diffusion electrodes and flow channels, limiting mass transfer reducing PEMFC performance. To tackle this issue, a nature-inspired chemical engineering (NICE) approach has been adopted that takes cues from integument structure desert-dwelling lizards passive transport. By incorporating engraved, capillary...

10.1002/advs.202404350 article EN cc-by Advanced Science 2024-07-25

The influence of impeller type on the liquid–liquid dispersion system was investigated by computational fluid dynamics coupled with population balance model (PBM). Rushton turbine (RT), pitched-blade (PBT), and parabolic blade (PB) produce different flow fields turbulence distribution. droplet size distribution (DSD), breakage frequency, coalescence rate were predicted Alopaeus CT model. simulated velocity field DSD validated particle image velocimetry analysis, respectively. analysis...

10.1021/acs.iecr.2c03695 article EN Industrial & Engineering Chemistry Research 2023-02-27

This study introduces a machine learning (ML)-assisted image segmentation method for automatic bubble identification in gas-solid quasi-2D fluidized beds, offering enhanced accuracy recognition. Binary images are segmented by the ML method, and an in-house Lagrangian tracking technique is developed to track evolution. The ML-assisted requires few training data, achieves of 98.75%, allows filtering out common sources uncertainty hydrodynamics, such as varying illumination conditions...

10.1021/acs.iecr.4c00631 article EN cc-by Industrial & Engineering Chemistry Research 2024-05-01

Pulsating the gas flow in rectangular, quasi-2D fluidized beds can turn chaotic bubble into a regular pattern. Bubbles form rising triangular lattice, leading to scalable structure with controllable properties, such as narrow size distribution, distance between bubbles, and residence time. This overcomes challenges encountered conventional units, like maldistribution non-uniform contact. In this work, we reproduced similar, dynamically structured cylindrical annular geometry. Regular...

10.1016/j.powtec.2023.119096 article EN cc-by Powder Technology 2023-10-27

The hydrodynamics and local turbulent mixing of parallel multiple liquid jets, submerged in liquid, were investigated by means experiments computational fluid dynamics (CFD). A renormalization group (RNG) k-ε turbulence model was used to simulate the flow field. validated experimentally particle image velocimetry (PIV) measurements. In converging region adjacent nozzle exits, recirculation disappears, there is only ambient entrainment. Different jet arrays compared evaluate effects spatial...

10.1021/acs.iecr.9b04871 article EN Industrial & Engineering Chemistry Research 2020-01-15

Two self-similar, tree-like injectors of the same fractal dimension are compared, demonstrating that other geometric parameters besides play a crucial role in determining mixing performance. In one injector, when viewed from top, conformation branches is eclipsed; one, it staggered. The flow field and injector induced performance investigated through computational fluid dynamics (CFD) simulations. finite rate/eddy dissipation model (FR/EDM) modified for fast liquid-phase reactions involving...

10.1016/j.cep.2022.109042 article EN cc-by Chemical Engineering and Processing - Process Intensification 2022-07-02

Abstract Computational fluid dynamics (CFD) was used to investigate the influence of complex rheological properties for Bingham-pseudoplastic fluids on hydrodynamics and heat transfer performance in an industrial polymerization coiled agitated reactor. The rheology described by Herschel–Bulkley model. power consumption obtained CFD simulation good agreement with plant data. relationship between Metzner–Otto constant power-law index dual axial flow impellers investigated. strongly depends...

10.1515/ijcre-2020-0142 article EN International Journal of Chemical Reactor Engineering 2020-10-20

Two self-similar, tree-like injectors of the same fractal dimension are compared, demonstrating that other geometric parameters besides play a crucial role in determining mixing performance. In one injector, when viewed from top, conformation branches is eclipsed; one, it staggered. The flow field and injector induced performance investigated through computational fluid dynamics (CFD) simulations. finite rate/eddy dissipation model (FR/EDM) modified for fast liquid-phase reactions involving...

10.22541/au.163256444.45011639/v1 preprint EN Authorea (Authorea) 2021-09-25
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