IMFTF Keynote Meeting (15) Schedule

Date & Time: Fri, 2 Dec. 2022, 19:00

Chair:   

Professor Kun Luo, Zhejiang University, China

Opening:

(19:00 – 19:05 Beijing Time) 

Programme:

Keynote Speech-1

(19:05 – 19:45 Beijing Time) 

Professor Fengxian Fan

University of Shanghai for Science and Technology, China

Q&A 

(19:45 – 20:00 Beijing Time)

Keynote Speech-2

(20:00 – 20:40 Beijing Time)

Research Fellow Hanqiao Che

University of Birmingham, UK

Q&A 

(20:40 – 20:55 Beijing Time)

Discussions, closing

(20:55  –  21:00  Beijing  Time)

Platform:  Zoom

https://zoom.us/j/91336519292?pwd=WGdiWHBiYUxWc0wvUXNuUWpjL3NTdz09

Meeting ID:  913 3651 9292

Passcode:  1202

Organizer

  International Multiphase Flow Technology Forum

Shanghai Institute For Advanced Study, Zhejiang University

China University of Petroleum-Beijing

  Chinese Society of Particuology

View Live

Keynote Speech-1

Modeling of Particle Interaction and Agglomeration in Acoustic Field

When particles dispersed in the fluid are exposed to an acoustic field, a diversity of phenomena, including particle agglomeration, fluidization, separation, and fragmentation, can be observed. Among these, acoustic agglomeration of particles suspended in the flue has attracted greatest interest from researchers, as it offers an important technical route to controlling the emissions of fine particles. This talk focuses on our recent work on modeling of acoustic particle interaction dynamics using the discrete element method as well as modeling of acoustic agglomeration process using the direct simulation Monte Carlo method.

References:

[1] Wu Z, Fan F, Yan J, et al. An adaptable direct simulation Monte Carlo method for simulating acoustic agglomeration of solid particles. Chemical Engineering Science, 2022, 249: 117298.

[2] Yang N, Fan F, Hu X, et al. Influence of large seed particle on acoustic particle interaction dynamics: A numerical study. Journal of Aerosol Science, 2022, 165: 106018.

[3] Fan F, Xu X, Zhang S, et al. Modeling of particle interaction dynamics in standing wave acoustic field. Aerosol Science and Technology, 2019, 53(10): 1204-1216.

[4] He Y, Zhao H. Conservative particle weighting scheme for particle collision in gas-solid flows. International Journal of Multiphase Flows, 2016, 83: 12-26.

[5] Sgrott O L, Sommerfeld M. Influence of inter-particle collision and agglomeration on cyclone performance and collection efficiency. The Canadian Journal of Chemical Engineering, 2018, 97(2): 511-522.

[6] Ennis B J, Tardos G, Pfeffer R. A microlevel-based characterization of granulation phenomena. Powder Technology, 1991, 65: 257-272.

Speaker Information

Education：

• B.E., Thermal Energy and Power Engineering, Henan University of Science and Technology, China, 2003

• Ph.D., Thermal Energy Engineering, Southeast University, China, 2008

Awards：

• Youth Presentation Award, UK–China International Particle Technology Forum VIII (PTF8), 2021

• The First Prize in Science and Technology Progress Award, Chinese Society of Particuology, 2016

Work Experience:

• Lecturer/Associate professor/Professor,   University of Shanghai for Science and Technology, China, Sep. 2008‐Present

• Academic research professor, Kyung Hee   University, Korea, Jun. 2012‐Feb. 2013

• Visiting professor, Friedrich-Alexander   University of Erlangen-Nürnberg, Germany, Dec. 2013‐Dec. 2014

Selected Publications:

[1] Zhihao Wu, Fengxian Fan, Jinpei Yan, Houtao Chen, Xiaohong Hu, Mingxu Su. An adaptable direct simulation Monte Carlo method for simulating acoustic agglomeration of solid particles. Chemical Engineering Science, 2022, 249: 117298.

[2] NanaYang, Fengxian Fan, Xiaohong Hu, Mingxu Su. Influence of large seed particle on acoustic particle interaction dynamics: A numerical study. Journal of Aerosol Science, 2022, 165: 106018.

[3] Fengxian Fan, Xuan Xu, Sihong Zhang, Mingxu Su. Modeling of particle interaction dynamics in standing wave acoustic field. Aerosol Science and Technology, 2019, 53(10): 1204-1216.

[4] Fengxian Fan, Sihong Zhang, Wenying Wang, Jinpei Yan, Mingxu Su. Numerical investigation of PM2.5 size enlargement by heterogeneous condensation for particulate abatement. Process Safety and Environmental Protection, 2019, 125: 197-206.

[5] Fengxian Fan, Eric J. R. Parteli, Thorsten Pöschel. Origin of granular capillarity revealed by particle-based simulations. Physical Review Letters, 2017, 118: 218001. 

Email:

fanfengxian@usst.edu.cn

Keynote Speech-2

Understanding Particulate Flow in Fluidised Beds: Eulerian-Lagrangian Measurements and Simulations

Fluidised beds are encountered in various engineering fields. Understanding the particulate flows within them is critical in developing new downstream processes and formulations, as well as in optimising existing ones. Detailed knowledge about the particulate flow depends on the use of experimental measurements as well as numerical simulations. However, finding suitable tools of this kind has been a long outstanding problem. The reasons for this are manifold, such as the experimental difficulties in measuring particle motion in opaque walls and the sensitivity of sensors to environmental disturbances, or the lack of reliable models in numerical simulations to model drag forces, interphase heat and mass transfer. All these issues are calling for new technological or methodological innovations in this field.

In this talk, Dr. Hanqiao Che will present recent advances in several experimental and numerical simulation techniques for industrial applications, including the pharmaceutical granulation, food processing, and plastics recycling. The focus will be on demonstrating the challenges that exist in these areas and how new ideas are being used to overcome them. Although in most previous studies, experimental measurement methods of multiphase flows have been classified according to their operating frequency, measurement area or shape etc., the presenter will look at experimental methods from Eulerian and Lagrangian perspectives, similar to the logic of the numerical methods used in the field.

Speaker Information

Education：

• Chinese Academy of Sciences,Thermal Engineering (PhD),09/2015-07/2018

• Beihang University, Aerospace Engineering (Master), 09/2012-03/2015

• Henan University of Science and Technology, Measurement and Control Technology and Instrumentation (Bachelor), 09/2007-07/2011

Work Experience:

• Research Fellow at the University of Birmingham (5/2021-now)

• Research Associate at Imperial College London (10/2019-4/2021)

• Research Associate at Beihang University (09/2018-10/2019)

Selected Publications:

[1]. H. Q. Che，Dun Liu et al. CFD-DEM study of gas-solid flow   regimes in a Wurster type fluidized bed with experimental validation by   electrical capacitance tomography, Chemical Engineering Journal, 2020.

[2]. H. Q. Che，Al-Shemmeri et al. PEPT validated CFD-DEM model of   aspherical particle motion in a spouted bed, Chemical Engineering Journal,   2022.

[3]. H. Q. Che, C. O'Sullivan, et al, A novel CFD-DEM   coarse-graining method based on the Voronoi tessellation, Powder Technology,   2021.

[4]. H. Q. Che, et al. Investigation of gas-solid heat and mass   transfer in a Wurster coater using a scaled CFD-DEM model. Powder Technology,   2022.

[5]. H. Q. Che, et al. Application of microwave tomography to   investigation the wet gas-solids flow hydrodynamic characteristics in a   fluidized bed. Chemical Engineering Science, 2018.

Email:

h.che@bham.ac.uk

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