Kun Luo

Zhejiang University

Kun Luo is a professor and a doctoral supervisor at the Institute of Thermal Engineering, Zhejiang University. He was the winner of the National Fund for Distinguished Young Scholars and has been successively selected as a young top talent in the Ten Thousand Talents Program of the Organization Department of the Central Committee, a young and middle-aged scientific and technological innovation leader of the Ministry of Science and Technology, a director of the Chinese Society of Engineering Thermophysics, and the deputy Secretary-General of the Multiphase Flow Committee of the Chinese Society of Engineering Thermophysics and the deputy Secretary-General of the Process Simulation and Simulation Committee of the Chinese Chemical Society.

In July 2000, he graduated from Wuhan University of Water Conservancy and Electric Power with a bachelor's degree. In March 2005, he received a doctorate in engineering thermophysics from Zhejiang University and stayed at the school to teach. In December 2010, he was promoted to professor. From 2007 to 2009, he carried out cooperative research work at the Turbulence Research Center of Stanford University in the United States and visited the University of Tennessee in the United States (2011), Osaka University in Japan (2005), and Pusan University in South Korea (2003).

For many years, he has been engaged in theoretical modeling and numerical simulation of complex multi-scale coupled problems in the field of energy and environmental engineering, including computational multiphase flow, computational combustion, multi-scale simulation of wind energy utilization, and multi-scale air quality models in atmospheric pollution areas. A new method for full-scale direct numerical simulation of complex multiphase turbulent combustion was proposed, new phenomena and new mechanisms of interface coupling of multiphase turbulent combustion were discovered, and a new more accurate engineering calculation model was established, which was successfully applied to engineering practice, bringing significant economic and environmental benefits. As the project leader and research backbone, he has undertaken more than ten national/provincial and ministerial-level scientific research projects, and published more than 200 papers in domestic and foreign academic journals.

He has won the Outstanding Paper Award of the 33rd International Congress of Combustion, the First Prize of Natural Science of the Ministry of Education, the Wu Zhonghua Outstanding Young Scholar Award, the First Prize of Zhejiang Science and Technology, and the National 100 Outstanding Doctoral Dissertation Award. He has been invited to serve as the editor or editorial board member of 5 international SCI academic journals, and has been invited to give invited lectures at more than 20 academic conferences.

Personal page: https://person.zju.edu.cn/kunluo/

Topic: An improved direct-forcing immersed boundary method for simulations of flow and heat transfer in particle-laden flows

In studies of particle-laden flow, the direct-forcing immersed boundary (IB) method is commonly utilized to fully resolve the flow around the particles. With the use of interpolation functions, the effective diameter of a particle is typically larger than the actual diameter, resulting in an erroneous flow field, an overestimated drag force, and an inaccurately estimated interphase heat transfer rate when the grid resolution is insufficient. Relatively high grid resolutions (typically dp/h>20) are required to ensure accurate estimations of the momentum and heat transfer between fluid and particles, leading to high computational cost when simulating cases with numerous particles. To address these issues, we propose an improved direct-forcing IB method involving retraction of the Lagrangian points, which considers the interphase momentum and heat transfer simultaneously. The method establishes two sets of Lagrangian points for computing the drag force and heat transfer rate, respectively. Based on the optimal retraction distance of the two sets of Lagrangian points, two retraction functions of the Reynolds number and grid resolution are formulated. Using the developed retraction functions, we simulate the DKT process, non-isothermal flow past three in-line spheres, and gravitational settling of a sphere with variable temperature to validate the improved IB method. It is found that the drag force and Nusselt number can be accurately reproduced using the improved IB method with a relatively small grid resolution (dp/h=10). Also, we simulate isothermal and non-isothermal flow through static random arrays of 108 spheres with relatively high void fractions to demonstrate the capability of the improved IB method to deal with problems involving numerous particles at relatively high void fractions (see Figure 1 for two of the particle configurations used). 

Shuiqing Li

Tsinghua University

Shuiqing Li, a professor and a doctoral supervisor of the Department of Thermal Engineering of Tsinghua University, was selected as a candidate for the New Century Excellent Talents Support Program of the Ministry of Education, the 221 Basic Talents Research Program of Tsinghua University, and was funded by the National Science Fund for Distinguished Young Scholars. Deputy Director of the Office of Discipline Planning and Development, member of the Graduate Admissions Committee, etc. He graduated from Zhejiang University in 1997 and 2002 with a bachelor's degree and a doctorate degree respectively; from 2002 to 2004, he was engaged in postdoctoral research at Tsinghua University, and has been working there since then; he has worked at the University of Leeds, University of Iowa, Princeton University and Yale University has been engaged in visiting cooperative research.

His main research directions include particle flow and particle dynamics, combustion dynamics and stability control, clean coal combustion foundation, fine particle control technology, etc. He has presided over or completed 7 National Natural Science Foundation of China projects, aerospace There are five scientific research projects of the Fifth Academy and one key research and development project of the Ministry of Science and Technology. He co-authored an academic monograph "Adhesive Particle Flow" by Cambridge University Press, and published 88 papers included in SCI, which were published in Prog. Eng. Combust. Sci., a top journal in energy, and Phys. Rev. Lett., Apply. Phys. Lett., etc., his papers have been cited more than 1000 times, H-index 23, and more than 10 authorized invention patents.

Personal page: https://www.depe.tsinghua.edu.cn/info/1101/1718.html

Topic: Effect of electrostatic interaction on agglomeration and breakage of dielectrically adhesive particles in turbulence

In this work, we first conduct numerical investigations on the early-stage agglomeration of identically charged microparticles in homogeneous isotropic turbulence. The turbulent flow field is evolved by direct numerical simulation, and the adhesive discrete element method (Adhesive DEM) is employed to simulate particle transport and agglomerate formation. Through extensive simulations, the effect of Coulomb repulsion on collision frequency is examined. Further, the impact breakage of dense agglomerates containing charged dielectric microparticles is investigated using the novel boundary element method (BEM)-discrete element method (DEM) coupled simulations. The short-range contact interactions are modelled using the adhesive DEM, and the BEM-based approach is employed to calculate the many-body electrostatic interaction among charged particles. Finally, through scaling analysis, the contact interactions are found to dominate when particles are in contact, while the electrostatic interaction gives rise to larger energy changes as particles travel longer distances. Finally, a comprehensive physical picture is presented to illustrate the respective roles of the contact and the electrostatic interactions in the process of impact breakage.

Yurong He

Harbin Institute of Technology 

Yurong He is a professor and doctoral supervisor at the School of Energy Science and Engineering, Harbin Institute of Technology. She has long been devoted to the research of multiphase flow thermophysics in the process of energy utilization.

She was selected into the 2018 National High-level Talent Support Program and was funded by the National Natural Science Foundation of China Youqing, Heilongjiang Outstanding Youth, and Harbin Outstanding Youth. Honors such as the Overseas Students Serve the Country Award, and the Heilongjiang University Teacher Morality Advanced Individual. She serves as a member of the Teaching and Instructing Committee for Energy and Power Engineering of the Ministry of Education, Deputy Director of the First New Energy and Energy Storage Engineering Teaching Committee of the Higher Engineering Education Association of China Machinery Industry Education Association, a member of the Fourth Teaching Committee of Energy and Power Engineering, and a member of the China Machinery Industry Education Association. Deputy director of the Multiphase Flow Branch of the Engineering Thermophysics Society and director of the Heilongjiang Provincial Key Laboratory.

She has published more than 190 SCI-indexed papers in domestic and foreign journals such as Chinese Science, Nano Energy, Applied Energy, International Journal of Heat and Mass Transfer, etc., with a total of 5,615 SCI citations, 12 papers have been selected as ESI highly cited papers, of which 3 She has been selected as a hot paper, and she was selected as a highly cited scholar in China by Elsevier 2021. She presided over a total of 9 projects of the National Natural Science Foundation of China (including international cooperation and exchange projects). She has won a total of 5 provincial and ministerial science and technology awards, including 2 first prizes and 3 second prizes.

Topic: Mesoscale structure evolution process in complex multiphase systems

Mesoscale structure flow and evolution behaviors have attracted more and more attention, which might affect the design and operation of industrial reactors. In this work, mesoscale structure evolution process was explored in different complex multiphase particle system by numerical simulation.

Haibo Zhao

Huazhong University of Science and Technology

Haibo Zhao is currently a professor, doctoral supervisor, and deputy director of the State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, and a postgraduate supervisor of the China-Europe Institute of Clean and Renewable Energy. Project "Young Top-notch Talents", winner of the Ministry of Education's New Century Excellent Talents Program, German Alexander von Humboldt Foundation Research Fellow (Humboldt Scholar), Fok Yingdong Education Fund Selected Funding Project, Ministry of Education Natural Science First Prize, National Excellent Doctoral dissertation nomination award and other recipients. At present, he is mainly engaged in the research of coal-fired pollutant control, functional nanoparticles of combustion sources, environmental thermoeconomics, new technologies for energy conversion and utilization, etc. "Theory", "Introduction to New Energy", "Multiphase Fluid Mechanics" (graduate course), "Energy Science Prospects" (doctoral course) and other courses. Presided over six projects of the National Natural Science Foundation of China (one major project project (key fund level), one outstanding youth project, three general projects, one international cooperation project), national key special projects (project leader) and four national The key basic research planning project (973) sub-project, etc. As of June 2016, a total of 90 SCI-indexed papers have been published (including 77 papers by the first author or corresponding author, with an average impact factor of more than 3), 1 Chinese monograph and 2 English monograph chapters, and obtained invention patents 9 patents, 2 utility model patents, 1 computer software copyright, and 5 public invention patent applications. His papers have been cited more than 400 times by SCI, with an H index of 18. He has been invited to give more than 20 invited reports at domestic and foreign academic conferences and foreign academic institution/experts etc. It has substantial international cooperation with more than 10 universities/research institutions in the United States, Germany, the United Kingdom, Australia, and the West. It has jointly trained 4 doctoral students and published more than 10 papers in international journals.

Topic: Large eddy simulation-Population balance Monte Carlo (LES-PBMC) for nanoparticle formation and growth in Flame

The combustion synthesis of nanoparticles in the Flame Spray Pyrolysis (FSP) burner is a much more complicated process including dynamic events such as spray droplet breaking, evaporation, combustion, particle nucleation, coagulation and sintering. Accurate identification of some key parameters in the flame aerosol process is essential for the targeted production of nanoparticles. The aim of this work is to establish a new LES-PBMC framework to predict the flow field information as well as the formation and growth of nanoparticles. 
The turbulent spray combustion were simulated by the nonlinear LES study (NLES-PaSR) based on the gradient-type structural Subgrid-scale (SGS) model and partially stirred reactor (PaSR) combustion model. Meanwhile, an efficient and accurate multi-dimensional PBMC method was for the first time applied to describe the spatiotemporally-resolved formation and growing of nanoparticles in the FSP. As a result, the detailed time-averaged and instantaneous flow fields of the spray combustion, such as temperature, velocity, species, chemical reaction rate of precursor, were predicted clearly. The evolution of particles size and morphology, especially the poly-dispersed aggregates size distribution have been successfully attained. The competition among the three dynamic events, as well as the particles transport in the flame affect the evolution of nanoparticles. To the best of author’s knowledge, this is the first LES-PBMC simulation of nanoparticle synthesis in FSP process.

Hui Jin

State Key Laboratory of Multiphase Flow

in Power Engineering

Xi’an Jiaotong University

Dr. Hui Jin received Ph.D degree in Xi’an Jiaotong University in 2011. Full professor since 2018 in Xi'an Jiaotong University. He focuses on multiphase reacting flow, supercritical water gasification process and its large scale utilization. He is Manager of the NSFC Funding for Excellent Young Scholars, Director of new energy multiphase flow institute in Xi'an Jiaotong University, Board member of Chinese society for electrical engineering, Deputy leader of multiphase flow professional group in the Chinese Society of Theoretical and Applied Mechanics. He has more than 190 publications indexed by SCI and more than 5000 citations with an h-index of 40. 14 papers were indexed by ESI (3 hot papers). Awarded by the “Wu Chung-hua outstanding young scholar award” issued by Chinese Society of Engineering Thermophysics in 2022, Awarded by first prize in Science and Technology of Shaanxi province (ranking 3) In 2014. Associate editor of Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. Editorial board member of Carbon Resources Conversion, Carbon Capture Science & Technology, Carbon Research, Biochar. Guest editor in Physics of fluids, ACS Sustainable Chemistry & Engineering, Physics of Fluids, Renewable Energy, Sustainable Energy Technologies and Assessments, International Journal Hydrogen Energy, Journal of Renewable Materials.

Topic: Coupling mechanism of reacting coal particles and supercritical water

Haigang Wang

Institute of Engineering Thermophysics, Chinese Academy of Sciences

Haigang Wang is a professor in the Institute of Engineering Thermodynamics at the Chinese Academy of Sciences, where he also received his PhD in the same field. He was working with the University of Manchester as research associate during 2005 and 2010. Haigang Wang’s research interests include flow dynamics simulation and measurement of multi-phase flows, mathematical modeling and process control for fluidized bed drying processes, process tomography and 3D image reconstruction software developing, and monitoring and control for granulation, drying and coating processes in the pharmaceutical industry. Dr. Wang has participated in several key projects funding by EPSRC, TSB in UK and NSFC projects in China related with energy, petrol and pharmaceutical industry. He has been shortlisted as a finalist for the IET Innovation awards (highly commended for the IET Innovation Awards for Measurement in Action for 2009). He has published more than 120 scientist papers including the best paper award in international process tomography conference in 2008 in Poland and one international patent which has been demonstrated in GEA-Aeromatic in Switzerland and UK, AstraZeneca in Sweden and DuPont in USA. He has given several keynote lectures in international conference including 2014 IEEE Imaging System and Technology Conference in Greece, 2015 Asian Particle Technology Conference in South Korea, 2018 World Congress on Particle Technology Congress in USA and 2019 International Fluidization XVI conference in China. He is further a member of AIChE and IEEE and referees for several international journals, including AIChE Journal, Chemical Engineering and Science, Measurement Science and Technology, Flow Measurement and Instrumentation., Fuel & Energy and Journal of Mathematical Imaging and Vision.

Personal page: http://www.iet.cas.cn/sourcedb_iet_cas/zw/expert/202109/t20210926_6215472.html

Topic:   Study of the drying process in a fluidized bed dryer

Wet particle drying process is complex due to the variation of particle moisture which has big effect on the gas-solid properties, flow dynamics and mass and heat transfer. CFD simulation were employed to study its main characteristics. Due to the computational capability restriction and computational time limit, 2D model simulation were employed for the whole drying curve first, then 3D model simulation was employed at certain moisture contents for more accurate flow dynamics. The simulated cross-sectional particle volume fraction shows core-annular structure and is verified by the ECT measurement. An internal circulation is formed in the height direction, and the mass and heat transfer mainly happen at the lower part of the dryer and at the contact region between the bubbles and the solid phase.

Ming Kong

China Jiliang University

Ming Kong is a professor at the School of Metrology and Testing Engineering, China Jiliang University. He received his bachelor's degree from the Department of Instrument Science and Engineering, Southeast University and in 2005, he obtained a doctorate in measurement and control technology and instruments from Southeast University. Since 2005, he has been engaged in teaching and research in the School of Metrology and Testing Engineering, China Metrology Institute. From January to July 2009, he visited the National Institute of Physics in Germany, from March 2016 to February 2017, the University of Nottingham, UK, and from January 2018 to March 2018, he visited the University of Wollongong, Australia. He serves as a member of the Multiphase Flow Committee of the China Metrology and Testing Society, a member of the China Measuring Tool and Measuring Instrument Standardization Technical Committee, a member of the China Product Geometry Technical Specification Standardization Technical Committee, and the second-level training personnel of the "New Century 151 Talent Project" in Zhejiang Province. His main research direction is the development of photoelectric detection technology and measurement and detection equipment.

Personal page: https://jlcs.cjlu.edu.cn/info/1073/1311.htm.

Topic:   Research on Color 3D Particle Image Velocimetry Based on Optical Flow Cross-correlation Hybrid Algorithm

Rainbow PIV can restore the three-dimensional velocity field of particles with a single camera, but it takes a long time to reconstruct the three-dimensional velocity field. In this paper, we propose a hybrid optical flow intercorrelation algorithm that combines the fast Fourier transform-based intercorrelation algorithm and the Horn-Schunck optical flow pyramid iterative algorithm to improve the reconstruction speed. The Rankine vortex simulation experiment was carried out, and the particle velocity field was reconstructed using the optical flow cross-correlation hybrid algorithm. The average endpoint error and average angle error are close to those of the RainbowPIV algorithm, but the reconstruction time is saved by 20%. Analyze the effect of velocity magnitude and particle density on the reconstruction results. Real experimental validation using single- and dual-vortex datasets provided by Xiong et al. and velocity field reconstruction using an optical-fluid inter-correlation hybrid algorithm, The particle velocity field similar to RainbowPIV algorithm can be obtained, and the hybrid algorithm proposed in this paper is about 24 % faster than the reconstruction speed of RainbowPIV algorithm, which has good practicability.

Wu Zhou

University of Shanghai for Science and Technology

Wu Zhou, a professor at the University of Shanghai for Science and Technology, her main research direction is on-line measurement of particles and two-phase flow. She received her BS and PhD degrees from Nanjing University of Science and Technology and Southeast University in 2006 and 2012, respectively, and later taught at Shanghai University of Science and Technology. In October 2017, she visited Darmstadt University of Technology in Germany for a one-year visit and exchange. She has successively presided over the National Natural Science Foundation of China Youth and General Program, sub-projects of the National Key R&D Program, and National Science and Technology Major Projects, and participated in major scientific research instruments and equipment development projects. She has published more than 20 SCI papers, authorized 8 invention patents, and has been invited to give presentations at domestic and foreign academic conferences for many times. She won the 2014 Shanghai Chenguang Program and the 2016 Shanghai University of Science and Technology's first Zhiyuan Program. She is currently the secretary and member of the Multiphase Flow Testing Professional Committee of the China Metrology and Testing Society, the youth director of the Chinese Society of Particles, and the first youth editorial board member of the SCI journal Particuology.

Topic:   Measurement of moving particles by defocused imaging methods

Two kinds of Depth from Defocus (DFD) imaging system are introduced for particle measurement. Firstly, a two-camera DFD imaging system was developed with an industrial lens to measure size, position and three-dimensional velocity of spray drops. Secondly, the defocused imaging using a microscope was investigated to acquire the same parameters, considering the characteristics of asymmetric defocus. Experiments were performed respectively to validate the proposed defocused imaging methods.

Yunjie Yang

University of Edinburgh, UK

Topic: Digital twin-assisted quantitative flow imaging with agile tomography

We will report a digital twin framework that enables real-time quantitative multiphase flow imaging using agile tomography. We demonstrate step-change flow imaging performance compared to the state of the art.

Zhaosheng Yu

Zhejiang University

Zhaosheng Yu received his bachelor’s and master’s degrees in Engineering Mechanics from Zhejiang University in 1996 and 1999, respectively. He studied at the University of Sydney, Australia from 1999 to 2003, and received his Ph.D. in 2004. From 2003 to 2006, he worked as a postdoctoral fellow at the University of Twente in the Netherlands and the French Institute of Petroleum (IFP). In 2006, he worked in the Department of Mechanics of Zhejiang University and was promoted to associate professor. In 2012, he was promoted to professor. He is currently the director of the Institute of Fluid Engineering, Zhejiang University, the leader of the Multiphase Flow and Non-Newtonian Flow Professional Group of the Chinese Society of Mechanics, the director of the Fluid Mechanics Professional Committee of the Zhejiang Mechanics Society, and the editorial board members of Journal of Hydrodynamics and Applied Sciences. He is mainly engaged in computational methods and basic theoretical research on multiphase flow and fluid-structure interaction. As a core member, he won the first prize of the Ministry of Education's College Natural Science Award in 2012, the first prize of Zhejiang Science and Technology Progress Award in 2006, and the second prize of Zhejiang Province Natural Science Award in 2017. He has published more than 80 SCI papers, which have been cited more than 2,500 times by Google Scholar.

Topic: Drag model from interface-resolved simulations of particle sedimentation in a periodic domain and vertical turbulent channel flows

A drag correlation is established for laminar particle-laden flows, based on the data from the interfaced-resolved direct numerical simulations (IR-DNS) of particle sedimentation in a periodic domain at the density ratio ranging from 2 to 1000, the particle concentration ranging from 0.59% to 14.16%, and the particle Reynolds number below 132. Our drag decreases slightly with increasing density ratio when the other parameters are fixed. The drag correlation is then corrected to account for the turbulence effect by introducing the relative turbulent kinetic energy, from the IR-DNS data of the upward turbulent channel flows laden with the particles larger than the Kolmogorov length scale at relatively low particle volume fractions. A drift velocity model is developed to obtain the effective slip velocity from the interphase mean velocity difference for the vertical turbulent channel flow by considering the effects of the particle inertia, the particle concentration distribution and the large-scale streamwise vortices.

Lusheng Zhai

Tianjing University

Lusheng Zhai is a professor at the School of Electrical Automation and Information Engineering, Tianjin University. He obtained a master's degree and a doctorate degree in control science and engineering from Tianjin University from 2008 to 2013. From 2015 to 2016, he was a scholar in Chemistry at University College London. Visiting the School of Engineering, from 2013 to 2017, he served as a lecturer in the Department of Automation, Tianjin University. In 2019, he visited the School of Chemical Engineering at University College London as a scholar. From 2017 to now, he has been an associate professor in the Department of Automation, Tianjin University.
His main research directions are: advanced sensing technology and sensing system, modern information processing technology, dynamic logging method and theory of oil and gas wells, multiphase flow laser testing technology, microfluidics and microfluidic technology.

Topic: Measurements on interfacial characteristics and droplet entrainment 
in horizontal liquid-liquid flow using wire-mesh sensor

In the first study, we design a 10×10 conductance wire-mesh sensor (WMS) to detect the interface structures and entrained organic droplets in horizontal liquid-liquid flow. The 2D flow structures at the pipe radial section are visualized by the WMS. Watershed algorithm and axial gradient correction algorithm are used to separate the adherent droplets and the interface in 2D flow visualizations. Thus, the liquid-liquid interface and the dispersed droplets can be accurately extracted to reconstruct the 3D flow visualizations.

Topic: Experimental study of horizontal liquid-liquid two-phase flow

Horizontal oil–water two-phase flow often exists in many industrial processes, such as oil well production and oil transportation. The measurement of flow parameters in oil-water flows greatly depends on the flow pattern identification. An 8-channel radial conductance array probes are designed to detect the flow patterns. A conductance-capacitance combined technology and a complex admittance detection technology are proposed to detect the phase volume fraction. Meanwhile, the wire-mesh sensor (WMS) technology is developed to visualize the multi-scale stratified interface and entrained droplets. A novel planar laser-induced fluorescence (PLIF) system is developed to detect the flow structures at the radial section of the pipe. Corrected flow images are used to reconstruct the 3D structures of liquid-liquid stratified interfaces and entrained droplets.

Yanlin Zhao

China University of Petroleum

Yanlin Zhao is a professor in the Department of Thermal Energy Engineering, School of Mechanical and Storage Engineering, China University of Petroleum (Beijing), and a member of the Multiphase Flow Measurement Committee of China Metrology and Testing Association. She has been devoted to the research related to wear and corrosion in multiphase flow in the field of multiphase flow thermophysics for many years, such as: multiphase fluid mechanics, electrochemical corrosion, material wear and related basic problems and application basic research. She has published 61 academic papers, of which 31 are indexed by SCI (12 as the first author and 8 as the corresponding author), and the published papers have been cited more than 444 times by SCI papers. She has presided over the National Natural Science Foundation of China Youth Fund, the National Natural Science Foundation of China General Program, the National Scholarship Fund and the International Cooperation Program of British Universities. She was awarded a Singapore-MIT Research Institute Full Fellowship in 2004, a UK Government Scholarship (ORSAS) and a Tetley and Lupton Fellowship at the University of Leeds, UK, in 2007.
Based on her long-term work, she mainly studies the wear and corrosion of materials in multiphase flow. Through experiments, numerical simulations and theoretical analysis, etc., she studies the wear-corrosion mechanism of materials in multiphase flow under complex conditions, especially in multiphase flow, mechanical wear, The research on the mechanism of chemical corrosion synergy lays the foundation for the safe use and evaluation of energy materials and the safe operation of service facilities in the energy field.

Topic: Modulation of turbulence by dispersed charged particles in a pipe flow

In this work, a turbulent gas-solid two-phase flow with electrostatics is studied. The turbulent pipe flow is simulated using Large eddy simulation (LES) and particle is tracked using Lagrange. Simulations are carried out in one-way coupling, two-way coupling, and two-way coupling with electrostatics and the results are compared. The bulk Reynolds number is Re_b=44000 and the Stokes number is St=3.9 (d_p=5μm). The results show that the maximum of the electrostatic field strength at the saturated state is found near the wall not at the wall. The electrostatics increases particle concentration in the viscous sublayer  (0≤y⁺≤5)  and particle dispersion in the buffer layer (5≤y⁺≤30). Due to electrostatics, the retroactive effect of particles on the fluid is increased, which leads to increasements of the averaged fluid velocity in the buffer layer a(5≤y⁺≤30) and velocity fluctuations. In addition, electrostatics is found to increase the turbulent kinetic energy near the wall, while the trend decreases with the distance away from the wall. The area of high-speed and low-speed fringe near the wall increases with electrostatics. Therefore, it can be concluded that electrostatics not only changes particle behavior but also changes the flow field.

Yongpan Cheng

North China Electric Power University

Yongpan Cheng is currently a professor/doctoral supervisor at the School of Energy, Power and Mechanical Engineering, North China Electric Power University (Beijing), and a Marie Curie scholar. He received his bachelor's and master's degrees from Xi'an Jiaotong University in 2001 and 2004, respectively, and his doctorate from the National University of Singapore in 2008, and then stayed at the school as a Research Fellow. He joined North China Electric Power University in 2014. From 2015 to 2017, he went to the UK to carry out cooperative research with the support of the European Union "Marie Curie" Fund. He is mainly engaged in the research of multi-physics and multi-scale coupling in multi-phase flow and heat transfer. He has published more than 40 SCI journal papers in international journals such as Physics of Fluids, Int. J. Heat and Mass Transfer, Chemical Engineering Science and so on. He presided over a number of funds including the National Natural Science Foundation of China and the Beijing Natural Science Foundation and participated in the 973 Project and the National Natural Science Foundation of China as an academic backbone.

Topic: Theoretical analysis of sessile evaporating droplet

Evaporation of liquid droplets on underlying surfaces is widely encountered in various applications, therefore a full understanding of the evolution of droplet evaporation is quite necessary. In this paper, the theoretical model for sessile droplet evaporation with surface cooling effect is built up by coupling the heat transfer and vapor diffusion at the interface. The interfacial evaporative flux, temperature, evaporation rate and lifetime are obtained under different parameters. The theoretical results provide the benchmark solution for the droplet evaporation with numerical simulation and experiment.

Hairui Yang

Tsinghua University

Hairui Yang is a tenured professor and doctoral supervisor of the Department of Energy and Power Engineering, Tsinghua University. He is currently the Chinese representative of the IEA-FBC International Energy Agency's Fluidization Conversion Executive Committee and the director of the Chinese Society of Particles. As a well-known expert in the field of international fluidized combustion, he has successively won 2 national science and technology progress awards, 3 provincial and ministerial science and technology progress first prizes, and 1 international fluidization best paper award. The achievement "600MW supercritical circulating fluidized bed boiler technology development, research and engineering demonstration" won the first prize of the National Science and Technology Progress Award. Selected in the 2011 Ministry of Education New Century Excellent Talents Support Program. His main research direction is coal clean combustion and pollutant control, and he has made important contributions to the theory and application of circulating fluidized bed boiler combustion. As the project leader, he has completed a number of National Natural Science Foundation of China, National 863 Projects and 973 Projects, and 1 National Science and Technology Support Program in the “Eleventh Five-Year Plan”, “Twelfth Five-Year Plan” and “Thirteenth Five-Year Plan”; More than 400 papers have been published, including more than 200 SCI indexed papers, and more than 50 authorized invention patents.

Chao Yuan

Tianjing University

Topic: Water cut measurement of oil-water flow by using microwave resonant cavity sensors

Microwave resonant cavity method has become one of the most attractive measurement ways in the petroleum industry. We designed a fluid-passing microwave resonant cavity sensor (MRCS-FP) and established a novel prediction model of water cut in oil–water two-phase flow by introducing the analytical field solution method (AFSM). The results show that the proposed model performed well, and the relative error is better than ±5%.

Yefeng Zhou

Xiangtan University

Zhou Yefeng is a professor and doctoral supervisor of Xiangtan University, a doctor of Zhejiang University, and a postdoctoral visiting scholar at the Polytechnic Institute of Université de Montréal (POLYMTL) in Canada. He was the winner of Hunan Province Outstanding Youth Science Fund, the 16th Hunan Province Youth Chemical and Chemical Engineering Award, the 8th Hunan Province Petrochemical Outstanding Engineer, the winner of the 1st Youth Supporting Talent of the Chinese Society of Particles, the American Institute of Chemical Engineers (AIChE) senior member, youth director of the second council of the Chinese Society of Particles. He serves as the chairman of the fluidization branch of the 9th annual academic conference of the Chinese Society of Particles, and a doctoral dissertation reviewer at Nanyang Technological University (NTU) in Singapore. He has served as the academic backbone member and secretary of the 2011 Hunan Collaborative Innovation Center of "Environmentally Friendly and Resource Efficient Utilization of New Chemical Technology", a technical consultant of Xiangtan Boiler Co., Ltd., and a member of the Organizing Committee of the 8th Hunan Postgraduate Innovation Forum. He received a bachelor's degree from Hunan University and a doctorate degree from Zhejiang University in 2009 and 2014, respectively. The doctoral supervisors are Academician Chen Jianfeng, Professor Yang Yongrong and Professor Wang Jingdai. From 2011 to 2012, he went to Ilmenau University of Technology for visiting and training. In 2012, he was invited to Pittsburgh, USA to participate in the AIChE annual meeting and made a special report. He also went to Seattle University for an academic visit. Invited and funded the 2nd Global Young Scientist Summit (GYSS, 20 selected from China) in Singapore, and exchanged ideas with more than ten Nobel Prize winners and Fields Medal winners to discuss the challenges facing the world. meeting. In 2018-2019, he was invited to post-doctoral study at the Faculty of Engineering, University of Montreal, Canada, and his co-supervisor was Jamal Chaouki, an academician of the Canadian Academy of Engineering.

Topic: Fluidization-Based Multi-Phase Flow Reaction Engineering and Its Process Intensification Applications

Based on multi-phase fluidization reaction engineering, the speaker focuses on the research work on "multi-scale characterization-coupled simulation analysis-reactor enhancement application": establishing the fluidized multi-scale/multi-level characterization theory by fusing sound-pressure-electricity measurement techniques and multi-scale analysis methods; revealing the regulation mechanism of the liquid bridging/evaporation coupling effect on the multi-scale structure and characteristics, developing a new fluidized bed process involving multi-temperature zones based on the proposed idea of multi-temperature zone coexistence, which helps realize the process intensification and product optimization for industrial polymerization application; revealing the mutual interaction law among multiple zones of fluidized bed and their corresponding flow, heat and mass transfer, and reaction characteristics based on the our progress of related theories, which are revealed to serve related industrial chemical engineering process/product enhancement and energy saving and emission reduction. Representative research results are shown as follows: (1) Characterization and analytical theory for multi-scale/multi-level structure in multi-phase fluidization systems, (2) Simulation and optimization of complex multi-factor coupled fluidized bed reactor, (3) The chemical industry reaction process intensification and product enhancement application in multi-phase complex fluidization.

Yansong Shen

University of New South Wales

Yansong Shen is a professor at the University of New South Wales, Australia, doctoral supervisor, director of the Reactive Flow Laboratory, and executive director of the China-Australia Joint Research Center for Mining and Metallurgy Materials. He received his BS and MS degrees from Northeastern University in 2001 and 2003, and his PhD from the University of New South Wales, Australia in 2009. He is a recipient of the "Future Scholar" Outstanding Young Talent Program of the Australian Foundation. In 2012, he was awarded the National Outstanding Young Scholars Program of the Australian Research Foundation. In 2013, he won the Australian Academy of Engineering's Australian Low Emission Coal Utilization Technology Young Scientist Award. He was awarded the National Future Outstanding Young Talent Program of the Australian Research Fund Committee in 2019. His long-term research interests include process simulation and design and their application in complex reactors in the resource and energy industries, including low-carbon metallurgy, clean combustion processes for solid fuels, solar panel recycling, hydrogen production, storage, and renewable energy. process of continuous energy. He has participated in long-term cooperation with many world-renowned companies such as China Baosteel, Australia's coal energy company, Australia Coal Research National Alliance, Australia's Rio Tinto and Australia's Boggs Steel Company.

Topic: Modelling of reacting flows and industry applications

Process design and control plays a significant role in modern industries. Most processes and reactors are very complex, as they usually involve not only multiphase flows but also heat and mass transfers related to chemical reactions and their interactions – the so-called reacting flow. The operation must be optimized in order to be competitive and sustainable, particularly under the more and more demanding economic and environmental conditions.  This will need continuous innovative research and development. Computer simulation and modelling, supported by online data and experiments, has emerged as an indispensable adjunct to the traditional modes of investigation for design, control and optimization of processes, reactors, and devices.  In this presentation, Prof. Shen will report his core research on process modelling of reacting flows and the applications to a range of complex processes and reactors in conventional and emerging industries. Several examples of industry applications will be used for demonstration. The modelling works are indeed helpful to understand fundamentals and optimize & develop new, cleaner and more efficient technologies with measurable industrial outcomes.

Timothy Hunter

University of Leeds, UK

Dr. Hunter is an Associate Professor in Chemical and Nuclear Engineering, and is head of the Nuclear Engineering Group within the School of Chemical & Process Engineering (https://eps.leeds.ac.uk/chemical-engineering-sustainable-systems-processes/doc/nuclear-engineering). He has >80 publications in the areas of applied colloid and particle science, as well as multiphase suspension and slurry processing, while he has also been an investigator on +£3m in funding from UKRI, EU H2020 and industry. His main current motivation in multiphase flows is in advanced in situ characterisation methods to safely monitor the transfer and separation of radioactive wastes, and also the development novel, intensified effluent treatment processes. Of particular relevance to the IMFTF, he is currently an investigator on the UK’s EPSRC funded TRANSCEND Consortium (https://transcendconsortium.org/) on the design of novel online acoustic backscatter systems for remote slurry monitoring, while he is also an investigator on UK-Korea funded work into electrokinetic separation for enhanced decontamination. He was also work package lead for the EU H2020 funded ProPAT project (http://pro-pat.eu/) on the development of advanced measurement and control systems for industrial multiphase process systems in the high value chemicals and minerals sectors.

Topic: Mixing dynamics in a plug flow agitated tubular reactor (ATR) for process intensification 

This presentation will detail a comprehensive analysis of mixing dynamics in an agitated tubular reactor (ATR). This is a novel, commercial, continual plug-flow reactor, with mechanical shear enhanced mixing for process intensification. I will report on our extensive work into the characterisation of the relative motions of the internal agitator and external tube, and their relationship to the fluid mixing. Results from both experimental analysis and numerical simulation will be presented.

Yi Li

Tsinghua Shenzhen International Graduate School

Topic: Data fusion of multi-sensing for gas-liquid flow measurement

This paper presents using electrical tomography, microwave and venturi, combine with the customized partial separator to measure the liquid flow rate of gas-liquid multi-phase flows. In oil field in China, typically the oil/water mixture production of each single well is very small, say lower than 15 m3/day. This occurs that the conventional high-tech measuring technology does not work well, say online non-separated multi-phase flow meter. These facilities, e.g. Schlumberger Vx, Roxar MFM and Haimo MFM, are very popular in using with the high oil production scenes, for instance, offshore or sub-sea situations, as the flow rate is very high, say larger than 20 m3/h. However, for the Chinese land-based oil fields which are with very low production, it is a big challenge to accurately measure the flow rate of the each single well. The issues occur the measuring deviation include the very weak original signal from differential pressure, a big background noise, the random fluctuation of slug flow, the instantaneous high flow rate but with high GVF, and the not well mixture of oil and water. 
Based on the onsite experiment, each single measuring technology cannot be succeed to measuring the flow rate accurately. Thus data fusion is purposed to improve the measuring accuracy, but still needs to combine with a partial separator. The whole system needs to be customized designed, in order to reduce the influence of the gas phase, particularly for the instantaneous fluctuation. Both the electrical tomography sensor and the microwave sensor are used to identify the flow regime of the gas-liquid flows and the results are used to modify the model of the venturi. Meanwhile the microwave sensor is also used to provide the WLR of the oil/water mixture, this result can  also be used to re-calibrate the density coefficient of the venturi model. Normally, differential pressure can accurately measure the single phase flow based on the virtual height theory. However with the gas phase is mixed with, with the increase of the mixed flow rate, the differential pressure increases. That is the reason why the extra sensing technology needs to be introduced for the help to the venturi measurement. 
Both the lab-based and the  oilfield-based  experimental results will be demonstrated and presented. 

Min Xiang

National University of Defense Technology

Topic: Research on combustion organization of the powder-fuel water ramje

For the high-speed underwater vehicles, water ramjet is considered to be the most promising engine due to its high specific impulse. This paper focus on the organization of the powder-fuel water ramjet. A two-stage inlet swirl combustion chamber was proposed, and the swirl combustion technology was studied by combining theoretical analysis, ignition experiment and numerical study. Firstly the overall design of the water ramjet including the engine ignition system, powder supply structure and two-stage swirl inlet combustion chamber are given in detail. Subsequently the short-range and long-range ignition experiments are carried out respectively. Finally, numerical simulation was carried out to study the flow field and combustion performance. The influence of primary swirl inlet angle and inlet water ratio were investigated in detail.

Chao Tan

Tianjing University

Chao Tan is a professor and doctoral supervisor at the School of Electrical Automation and Information Engineering, Tianjin University. His main research directions are: process tomography technology, two-phase/multi-phase flow online detection technology, and multi-sensor information fusion. Now he is the director of Tianjin Process Imaging and Testing International Joint Research Center, a member of the Multiphase Flow Testing Professional Committee of the China Metrology and Testing Society, a standing member of the Youth Working Committee of the China Automation Society, a member of the Product Information Working Committee of the Instrumentation Society, and the deputy secretary of the Tianjin Automation Society. President, member of Tianjin Instrumentation Society, IEEE Senior Member, director of International Society for Industrial Process Tomography (ISIPT Consultative Scientific Panel), selected as invited scholar of Japan Society for the Promotion of Science (JSPS), Tianjin " 131" innovative talents. He serves on the editorial boards of international journals IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Transactions of the Institute of Measurement and Control, and Flow Measurement and Instrumentation. In recent years, he has presided over more than ten projects of the National Natural Science Foundation of China, international cooperation and exchanges, and Tianjin key funds. He has won the Tianjin Outstanding Doctoral Dissertation, the Outstanding Paper Award of the Journal of Instrumentation, the Best Paper Award of the IEEE-IST International Conference, the Paper Award of the 22nd IMEKO World Congress, and the Multiphase of the Chinese Society of Engineering Thermophysics. "Chen Xuejun Award for Outstanding Papers of Young Scholars" at the Annual Academic Conference. He has published more than 130 papers in academic journals at home and abroad, including more than 80 SCI retrieval papers. He has been authorized 38 national invention patents and 4 software copyrights. The test systems and methods he developed are widely used in scientific research units and enterprises Get the app.

Topic: Oil-water volume fraction monitoring based on unsynchronized dual-frequency ultrasonic nonlinearity measurement

Accurate measurement of the ultrasound nonlinear parameter can be used to determine the volume fraction of oil-water two phase flow. However, the measurement accuracy of ultrasound nonlinear parameter is largely affected by the scattering effect due to dispersive phase along the sound propagation ray path. In this paper, we propose a novel nonlinear parameter measurement method that using phase-inversed dual-frequency ultrasound excitation to cancel the scattering effect, which will help to improve the accuracy of volume fraction measurement. 

Junfeng Wang

Jiangsu University 

Dr. Junfeng Wang got his Ph.D. degree at Jiangsu University (2002). Visits and exchanges at the University of Applied Sciences in Konstanz, Gyeongsang National University, and the Hong Kong University of Science and Technology. He is currently the Dean of the School of Energy and Power Engineering, JSU. He mainly engaged in the research field of multiphase flow, heat transfer and complex flow in energy and power engineering, including electrostatic spray, CFD and modern measurement technology application in fluid flow. As the person in charge of the projects, he has undertaken more than 50 projects of the National Natural Science Foundation of China, the Ministry of Science and Technology and projects from Industries. Research results have been applied in more than 100 items such as the Three Gorges, the Olympic Games and the Shanghai World Expo. He has published more than 200 academic papers in journals and has been authorized more than 30 patents. He was awarded seven provincial and ministerial awards for scientific and technological achievements and two national awards for teaching achievements.

Topic: Charged Multiphase Flow in Energy Conversion

Charged multiphase flow is a kind of complex multiphase flow that widely exists in nature and many high-tech fields, whose dispersed phase is naturally or through high voltage technology charged or charge distributed at the phase interface which forms complex multiphase flow under the action of electric field. Based on the study of electrostatic atomization and spray which is a typical charged gas-liquid flow, a systematic multiphase flow research system for charged multiphase flow including gas and solid dispersed in liquid or liquid dispersed in unsolved liquid has been established. Further, many special and interesting phenomena have been found in charged liquid-liquid and charged liquid-gas dispersion systems by visual measurement techniques and the relevant mechanisms have been deeply revealed in detail. For example, the Coulomb breakup of different types of charged droplets, the interaction between charged droplets, and the cross-scale dispersion of bubbles in liquid. Particularly, we have discovered the generation of plasma bubbles in liquid and the morphology of the plasma-liquid interface, which provides evidence of the existence of a new class of fluid behaviours involving the plasma phase, apart from gas-liquid-solid three-phase systems, offering new insights into interface physics and interphase interaction, including interfacial dynamics, physical mechanisms, and mechanical constitutive relationships. Accordingly, we have developed the electric field enhanced ester exchange technology for efficient preparation of high-quality biofuels, overcoming the technical problem of poor solubility between reactants; meanwhile, we have developed a low-temperature plasma hydrogen production technology with liquid phase discharge, achieving rapid hydrogen production with low energy consumption at normal temperature and pressure.

Ming Gong

Beijing Hegong Simulation Technology Co., Ltd.

Ming Gong is a Ph.D. and is currently the director of Hegong simulation technology. He has more than ten years of experience in numerical simulation of particle multiphase flow. He has developed a variety of CFD-DEM coupling algorithms and interface programs, including EDEM-FLUENT coupling interface and EDEM-OpenFOAM coupling interface for dealing with complex problems such as interphase chemical reaction, irregular particles, and gas-liquid-solid three-phase flow.

Topic: Innovative application of particle multiphase flow numerical simulation technology in nuclear industry

The nuclear industry is a comprehensive emerging industry with a high degree of technology intensity. It plays an important role in national defense and can reflect the entire industrial base and scientific and technological development level of the country. The phenomenon of particle multiphase flow generally exists in the field of nuclear industry, involving the production and processing of nuclear fuel, the development and utilization of nuclear energy, and the development and production of nuclear weapons. The experimental study of particle multiphase flow problem is limited by factors such as experimental cost, experimental period, experimental conditions and safety. At the same time, numerical simulation technology is gradually applied in the field of nuclear industry, which is based on the discrete element method (DEM). The coupling technology with Computational Fluid Dynamics (CFD) is one of the mainstream numerical simulation methods of particle multiphase flow.
UNINSIM.Co-Sim is a particle multiphase flow simulation platform independently developed by Beijing Hegong Simulation Technology Co., Ltd. The DEM-CFD coupling interface used can realize mass transfer, heat transfer and evaporation in the multiphase flow system in the nuclear industry. Numerical simulation of application scenarios such as particle melting, gas-liquid-solid three-phase flow with free liquid surface, etc. This paper lists the practical application cases of the DEM-CFD coupling method in different directions in the nuclear industry.

Bona Lu

Institute of Process Engineering, Chinese Academy of Sciences

Bona Lu, Ph.D. in Engineering, received a bachelor's degree from Zhejiang University in 2003, a Ph.D. Her research interests include multiphase transport, multiphase reactions, computational fluid dynamics, multiscale simulation and optimal reactor design. Published more than 40 papers, 4 of which were selected as Most cited papers, and wrote 2 monographs. She has won the Chem. Eng. Sci. Highest Cited Author Award, the first Mike-Particuology Outstanding Paper Award, the first prize of technological invention of the Chinese Chemical Society, and the first prize of the Natural Science of the Chinese Society of Particles. She is also a young communication expert of "Engineering", a journal of the Chinese Academy of Engineering, a young editorial board member of "Journal of Fuel Chemistry", and an assistant editor of "PARTICUOLOGY". In 2013, she was selected as the first outstanding youth of the Process Institute, in 2015, she was selected into the Youth Innovation Promotion Association of the Chinese Academy of Sciences, and in 2016, she was selected as the first outstanding youth in the process. Presided over more than ten projects of large enterprises, the National Natural Science Foundation of China and the Chinese Academy of Sciences. Several research results have been developed as built-in options by internationally renowned CFD software including ANSYS FLUENT.

Topic: Role of mesoscale structures in TFM and coarse-grained DPM simulations of an industrial fluidized bed reactor

Coarse-grained (CG) discrete particle method (DPM) is gradually growing into a very powerful tool in simulation of a large-scale reactor. This study aims to understand  the difference between CG DPM and two-fluid model (TFM) in mesoscale modeling for predicting an industrial fluidized bed reactor with complex reactions. The comparison of both approaches in terms of solid concentration, gas velocity, temperature, coke distribution and product yield is analyzed. It is found that the effects of mesoscale structures in TFM modeling is more remarkable than that in CG-DPM. Without using the mesoscale drag in TFM, the simulation predicts very dilute flow with uniform distribution, while the EMMS-DPM can capture heterogeneous distribution in the second reaction zone. The underlying mechanism is further discussed.

Mengxi Liu

China University of Petroleum

Mengxi Liu is a Ph.D., professor and doctoral supervisor at China University of Petroleum. He graduated from Southwest Petroleum Institute in June 1996 with a bachelor's degree and obtained a doctorate degree in chemical engineering and technology from China University of Petroleum (Beijing) in May 2005. He was a visiting scholar at the University of British Columbia in Vancouver, Canada from 2008 to 2009. Now he is a teacher in the Department of Chemical Engineering. His subject is chemical engineering and technology. His main research directions are multiphase flow reactor development, fluidization, multiphase flow and transfer. Presided over projects in recent years: 2 National Natural Science Foundation of China, 1 CNPC Young and Middle-aged Fund, 1 CNPC Major Project Sub-project, responsible for 1 Sinopec horizontal project, participated in 2 973 projects and a number of horizontal projects such as PetroChina, Sinopec, Shenhua Company, etc. ; Won 1 first prize for technological progress by Petrochemical Federation, 1 second prize for technological invention by Petrochemical Association, 2 second prizes for technological invention by Ministry of Education, 1 second prize for Beijing Higher Education Teaching Achievement, and third prize for Sinopec Technological Progress 1 award; 11 invention patents authorized; 37 papers published at home and abroad (including more than 7 papers in SCI, 19 papers in EI, and 30 papers in core journals). The fluidized bed reactors he participated in and developed have been industrialized in 15 refineries including Sinopec Yangzi Petrochemical 800,000 tons/year catalytic cracking, Yanshan Petrochemical 800,000 tons/year catalytic cracking, and Daqing Petrochemical 1.4 million tons/year catalytic cracking.

Topic: Fundamental study and commercialization of a gas-solid air loop fluidized bed

A gas-solid air loop fluidized bed was proposed. Experiment was conducted to investigate meso- and macro-scale hydrodynamics. CFD simulation was made to evaluate the performance of GASLR technology in an industrial unit as a catalyst stripper, cooler and mixer, respectively. Results from an industrial RFCC unit show that the GSALR technology significantly improves the stripping efficiency.