晚7点直播|The International Multiphase Flow Technology Forum (IMFTF)
以下文章来源于中国颗粒学会 ，作者秘书处
中国颗粒学会（英文缩写为CSP）成立于1986年9月18日，是中国科学技术协会所属全国性一级学会。学会通过组织多种形式的学术活动，增强会员之间的交流、传播颗粒学知识、促进中国颗粒学技术的发展。
IMFTF Keynote Meeting (16) Schedule
Date & Time: Fri, 16 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)
Associate Professor Mikio SAKAI
The University of Tokyo, Japan
Q&A
(19:45 – 20:00 Beijing Time)
Keynote Speech-2
(20:00 – 20:40 Beijing Time)
Post-doctoral fellow Shuai Wang
University of New South Wales, Australia
Q&A
(20:40 – 20:55 Beijing Time)
Discussions, closing
(20:55 – 21:00 Beijing Time)
TBD
Platform: Zoom
https://us02web.zoom.us/j/87874982854?pwd=VGRpa2lOU2xjMUZxajFUc2tJcVhkQT09
Meeting ID: 878 7498 2854
Passcode: 1216
Organizer
International Multiphase Flow Technology Forum
Shanghai Institute For Advanced Study, Zhejiang University
China University of Petroleum-Beijing
Chinese Society of Particuology
Keynote Speech-1
Core technologies for realization of the DEM based cyber-physical system
Mikio SAKAI
Associate Professor
The University of Tokyo, Japan
The fourth industrial revolution has just taken place due to the recently significant development of ICT. This revolution will drastically change manufacturing because of the cyber-physical system (CPS). The role of modeling and simulation will become more important for constructing the CPS. The CPS requires real-time computation, high-accuracy modeling, and synchronization between cyber and physical spaces. Besides, big data obtained from the calculations will be applied, e.g., developing a surrogate model and elucidating the phenomena. This trend will be the same as that of the powder industries. The CPS of the powder process will adopt the discrete element method extensively. From the background, my group has developed core technologies for the CPS from modeling1-6) and data science7-9) viewpoints. I will show the latest achievements of my group in this presentation.
This study was financially supported by JSPS KAKENHI (21H04870, 21K19760 and 17KK0110).
References:
1) Y. Mori, M. Sakai, "Advanced DEM simulation on powder mixing for ellipsoidal particles in an. industrial mixer," Chem. Eng. J., 429 (2022) 132415
2) K. Tamura, Y. Mori, K. Takabatake, M. Sakai, "Validation study on a toroidal approximation-based capillary force model in the discrete element method simulation," Phys. Fluids, 34, (2022) 023319.
3) Y. Mori, M. Sakai, "Development of a robust Eulerian-Lagrangian model for the simulation of an industrial solid-fluid system," Chem. Eng. J., 406 (2021) 126841.
4) K. Takabatake, M. Sakai, "Flexible discretization technique for DEM-CFD simulations including thin walls," Adv. Powder Technol. 31 (2020) 1825-1837.
5) M. Sakai, Y. Mori, X. Sun, K. Takabatake, "Recent progress on mesh-free particle methods for simulations of multi-phase flows: A review," KONA Powder Part. J., 37 (2020) 132-144.
6) Y. Mori, K. Takabatake, Y. Tsugeno, M. Sakai, "On artificial density treatment for the pressure Poisson equation in the DEM-CFD simulations," Powder Technol., 372 (2020) 48-58.
7) S. Li, G. Duan, M. Sakai, "On POD-based modal analysis in simulations of granular flows," Powder Technol., 413 118058.
8) S. Li, G. Duan, M. Sakai, “Development of a reduced-order model for large-scale Eulerian–Lagrangian simulations,” Adv. Powder Technol., 33 (2022) 103632.
9) S. Li, G. Duan, M. Sakai, "POD-based identification approach for powder mixing mechanism in Eulerian-Lagrangian simulations," Adv. Powder Technol., 33 (2022) 103364.
Speaker Information
Education：
• Ph.D., School of Engineering, The University of Tokyo
Awards：
• IP Award (Information Center of Particle Technology)
• JACM Fellows Award (Japan Association for Computational Mechanics)
• Best Paper Award (The Society of Powder Technology, Japan)
Work Experience:
• Associate Professor, The University of Tokyo
• Visiting Reader, Imperial College London
• Visiting Professor, University of Surrey
Selected Publications:
K. Tamura, Y. Mori, K. Takabatake, M. Sakai, Phys. Fluids, 34, 023319 (2022)
Y. Mori, M. Sakai, Chem. Eng. J., 406, 126841 (2021).
M. Sakai, KONA Powder Part. J., 33, 169-178 (2016)
X. Sun, M. Sakai, Chem. Eng. Sci., 134, 531-548 (2015)
M. Sakai et al., Chem. Eng. J., 244, 33-43 (2014)
M. Sakai, S. Koshizuka, Chem. Eng. Sci., 64, 533-539 (2009)
Email:
mikio_sakai@n.t.u-tokyo.ac.jp
Keynote Speech-2
CFD-DEM modeling of dense gas-solid reacting flow: from model development to applications
Shuai Wang
Post-doctoral fellow
University of New South Wales, Australia
Dense gas-solid reacting flow involves complex multiphase flow, heat and mass transfer, and chemical reactions. Computational fluid dynamics-discrete element method (CFD-DEM) simulation has become a promising method to understand and optimize the dense gas-solid reacting systems. Despite its recently rapid advancement and successful applications to a variety of chemical engineering processes, a comprehensive introduction of the theory and applications that underpin the CFD-DEM modelling of dense gas-solid reacting flow has not yet been conducted. In this work, we give the recent progress in the development of CFD-DEM models and their applications to dense gas-solid reacting systems. The sub-models for describing the flow dynamics and thermochemical conversion are firstly presented in terms of numerical algorithms and corresponding implementations from flow to heat and mass transfer and speed-up methods. Then, the recent advancements of CFD-DEM applications in dense gas-solid reacting systems are given, with a focus on chemical engineering processes, e.g., biomass gasification, char combustion, blast furnace ironmaking, and PV pyrolysis.
References:
[1] Shuai Wang, Yansong Shen*. Particle-scale modelling of the pyrolysis of end-of-life solar panel particles in fluidized bed reactors [J]. Resources, Conservation & Recycling, 2022, 183: 106378.
[2] Shuai Wang, Yansong Shen*. Super-quadric CFD-DEM simulation of chip-like particles flow in a fluidized bed [J]. Chemical Engineering Science, 2022, 117431.
[3] Shuai Wang, Yansong Shen*. Coarse-grained CFD-DEM modelling of dense gas-solid reacting flow [J]. International Journal of Heat and Mass Transfer, 2022, 184: 122302.
[4] Shuai Wang, Yansong Shen*. CFD-DEM modelling of raceway dynamics and coke combustion in an ironmaking blast furnace [J]. Fuel, 2021, 302: 121167.
[5] Shuai Wang, Yansong Shen*. Particle-scale modelling of raceway dynamics in a blast furnace using a smoothing method [J]. Powder Technology, 2021, 389: 189-203.
[6] Shuai Wang, Yansong Shen*. Particle-scale study of heat and mass transfer in a bubbling fluidised bed [J]. Chemical Engineering Science, 2021: 116655.
[7] Shuai Wang, Yansong Shen*. CFD-DEM study of biomass gasification in a fluidized bed reactor: Effects of key operating parameters [J]. Renewable Energy, 2020, 159, 1146-1164.
[8] Shuai Wang, Kun Luo*, Jianren Fan. CFD-DEM Coupled with Thermochemical Sub-models for Biomass Gasification: Validation and Sensitivity Analysis [J]. Chemical Engineering Science, 2020: 115550.
Speaker Information
Education：
• Ph.D., Zhejiang University, Power Engineering and Engineering Thermophysics, 2014-09 to 2019-07
• B.E., Zhejiang University, Energy and Environmental Systems Engineering, 2010-09 to 2014-07
Work Experience:
• Postdoctoral Fellow, 2019-09 to now, University of New South Wales, Australia
Selected Publications:
1. Shuai Wang, Yansong Shen*. Particle-scale modelling of the pyrolysis of end-of-life solar panel particles in fluidized bed reactors [J]. Resources, Conservation & Recycling, 2022, 183: 106378.
2. Shuai Wang, Yansong Shen*. Super-quadric CFD-DEM simulation of chip-like particles flow in a fluidized bed [J]. Chemical Engineering Science, 2022, 117431.
3. Shuai Wang, Yansong Shen*. Coarse-grained CFD-DEM modelling of dense gas-solid reacting flow [J]. International Journal of Heat and Mass Transfer, 2022, 184: 122302.
4. Shuai Wang, Yansong Shen*. CFD-DEM modelling of raceway dynamics and coke combustion in an ironmaking blast furnace [J]. Fuel, 2021, 302: 121167.
5. Shuai Wang, Yansong Shen*. Particle-scale modelling of raceway dynamics in a blast furnace using a smoothing method [J]. Powder Technology, 2021, 389: 189-203.
6. Shuai Wang, Yansong Shen*. Particle-scale study of heat and mass transfer in a bubbling fluidised bed [J]. Chemical Engineering Science, 2021: 116655.
7. Shuai Wang, Yansong Shen*. CFD-DEM study of biomass gasification in a fluidized bed reactor: Effects of key operating parameters [J]. Renewable Energy, 2020, 159, 1146-1164.
Shuai Wang, Kun Luo*, Jianren Fan. CFD-DEM Coupled with Thermochemical Sub-models for Biomass Gasification: Validation and Sensitivity Analysis [J]. Chemical Engineering Science, 2020: 115550.
Email:
wshuai2014@zju.edu.cn
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