A5064753053- Electrohydrodynamics and Fluid Dynamics
- Granular flow and fluidized beds
- Fluid Dynamics and Mixing
- Fluid Dynamics and Heat Transfer
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Aerosol Filtration and Electrostatic Precipitation
- Ultrasound and Cavitation Phenomena
- Cyclone Separators and Fluid Dynamics
- Catalytic Processes in Materials Science
- Rheology and Fluid Dynamics Studies
- Electrowetting and Microfluidic Technologies
- Advanced Photocatalysis Techniques
- Enhanced Oil Recovery Techniques
- Ultrasonics and Acoustic Wave Propagation
- CO2 Reduction Techniques and Catalysts
- Microwave-Assisted Synthesis and Applications
- Photoacoustic and Ultrasonic Imaging
- Mass Spectrometry Techniques and Applications
- Advanced X-ray and CT Imaging
- Advanced Thermoelectric Materials and Devices
- Process Optimization and Integration
- Lattice Boltzmann Simulation Studies
- Power Transformer Diagnostics and Insulation
- Catalysis and Oxidation Reactions
Jiangsu University
2019-2025
Jiangsu University of Science and Technology
2024
Huazhong University of Science and Technology
2024
Fuzhou University
2022
Nanchang University
2022
Metal Industries Research & Development Centre
2018
National University of Singapore
2014-2018
Xi'an University of Architecture and Technology
2017
National Tsing Hua University
2015-2016
Xiamen University
2011-2014
Artificial intelligence (AI), machine learning (ML), and data science are leading to a promising transformative paradigm. ML, especially deep physics-informed is valuable toolkit that complements incomplete domain-specific knowledge in conventional experimental computational methods. ML can provide flexible techniques facilitate the conceptual development of new robust predictive models for multiphase flows reactors by finding hidden pattern/information/mechanism set. Due such emergence, we...
Abstract Photocatalytic hydrogen evolution coupled with organic oxidation reaction is a promising alternative to water splitting, where the efficiency limited due weak correlation between charge separation and surface redox reactions. Here, employing nickel phthalocyanine (NiPc) for hole extraction, NiPc‐modified carbon dots (CDs) are combined Cu–In–Zn–S quantum (CIZS QDs) toward profound understanding of electron/hole extraction proton generation reduction. The optimal rate reaches 4.10...
Abstract A three‐dimensional (3‐D) computational fluid dynamics model, coupled with population balance (CFD‐PBM), was developed to describe the gas–solid two‐phase flow in fluidized‐bed polymerization reactors. The model considered Eulerian–Eulerian two‐fluid kinetic theory of granular flow, balance, and heat exchange equations. First, validated by comparing simulation results classical calculated data. entire temperature fields reactor were also obtained numerically. Furthermore, two case...
Abstract Although the use of computational fluid dynamics (CFD) model coupled with population balance (CFD‐PBM) is becoming a common approach for simulating gas–solid flows in polydisperse fluidized bed polymerization reactors, number issues still remain. One major issue absence modeling growth single polymeric particle. In this work multilayer (PMLM) was applied to describe particle under intraparticle transfer limitations. The PMLM solved together PBM (i.e. PBM‐PMLM) predict dynamic...
Renewable electricity shows immense potential as a driving force for the carbon dioxide reduction reaction (CO
In this study, a computational fluid dynamic (CFD) model was developed to simulate the liquid cone‐jet and core‐shell droplet formation in Coaxial Electrohydrodynamic Atomization (CEHDA) process. Validation experiments were conducted using poly(lactic acid) (PLA) poly(lactic‐co‐glycolic (PLGA) solutions as core shell materials, respectively. Good agreement obtained between experimental results simulation predictions terms of both particle size structure. Investigation interfacial tension...
In this work, two machine learning (ML) models for recognizing electrohydrodynamic (EHD) spraying patterns are developed to guide the process operation achieve stable cone-jet mode directly. To end, EHD first divided into three categories, namely, dripping, cone-jet, and unstable cone-jet. A database consisting of 86 140 data used build recognition models. The artificial neural network (ANN) support vector (SVM) trained through collected give excellent performance in prediction patterns....
In this work, a double‐nozzle coaxial electrohydrodynamic atomization (CEHDA) system was designed as an instructive case toward large‐scale production of core‐shell microspheres. The effect nozzle‐to‐nozzle distance investigated to reveal that the interference between neighboring nozzles significantly affect product quality in terms morphology and structure. Optimal spacing indicated ∼3000 nozzle/m 2 packing density may be achieved with minimum electric field from nozzle by adjusting greater...
Abstract Renewable electricity shows immense potential as a driving force for the carbon dioxide reduction reaction (CO 2 RR) in production of formate (HCOO − ) at industrial current density, providing promising path value‐added chemicals and chemical manufacturing. However, achieving high selectivity stable HCOO density remains challenge. Here, we present robust Bi 0.6 Cu 0.4 NSs catalyst capable regenerating necessary catalytic core (Bi−O) through cyclic voltammetry (CV) treatment....
In this work, the effect of nondrag forces (lift force, turbulent dispersion wall lubrication and virtual mass force) bubble-induced turbulence (BIT) on computational fluid dynamics-population balance model (CFD-PBM) simulation air–water bubble columns operated at 0.01, 0.05, 0.10, 0.11, 0.23 m/s is investigated. The results indicate that local gas holdup, axial liquid velocity, global size distribution (BSD), Sauter mean diameter are significantly affected by lift force. Without radial...
In this study, a two-dimensional numerical simulation is conducted to investigate the characteristics of gas flow induced by an electrohydrodynamic (EHD) pump with needle-ring-net electrodes. A needle electrode and ring are used as high-voltage electrode, net grounding one. The electric field distribution, space charge distribution behaviors were simulated analyzed in detail. results good agreement experimentally measured data. influence key parameters, including applied voltage,...