报告——Multi-scale modeling, simulation and supercomputing of multiphase systems--- towards virtual process engineering
发布人: 管理员 发布时间: 2017-10-20 作者: 访问次数: 14

时间:2017年10月21日

地点:实验十楼220会议室

Multi-scale modeling, simulation and supercomputing of multiphase systems--- towards virtual process engineering

Wei Ge

State Key Laboratory of Multiphase Complex Systems (MPCS),

Institute of Process Engineering (IPE), Chinese Academy of Sciences (CAS),

P. O. Box 353, Beijing 100190, China

University of Chinese Academy of Sciences, Beijing 100049, China

  

Dynamic simulation in process engineering involving multiphase flows can be very time-consuming but still of low accuracy due to the strong coupling between different scales and deferent processes (e.g., reaction, diffusion and flow). A natural and effective approach to address this challenge is multi-scale modeling which combines or cascades models at different scales in a single simulation so that the effects of smaller-scale behaviors on larger scales can be accounted by the meso-scale models without describing their full details. However, multi-scale modeling may also complicate the computation by mixing different numerical methods and algorithms, e.g., continuum-based and discrete methods. Heterogeneous computing is, therefore, especially suitable for simulation using multi-scale models, with processors of different architectures for different algorithms accordingly.

  

In this talk, we will demonstrate this possibility by introducing a series of multi-scale simulations on particle-fluid systems such as fluidized bed, pneumatic conveyor, mixing tanks etc. Meso-scale models are introduced to consider the sub-grid-scale structures in continuum methods and coarse-grained discrete methods. Highly parallel codes for continuum-based finite volume method, discrete element method and lattice Boltzmann method are implemented on the central processing units (CPUs), many-integrated cores (MICs) and graphics processing units (GPUs), respectively [1,3]. The accuracy, speed and efficiency of the simulation can be improved dramatically to quasi-realtime level for lab-scale systems with particle-scale resolution. In contrast, traditional simulation may cost weeks for seconds of physical process. Based on this capability, interactive simulation and visualization with online control of the operating conditions has been realized also, suggesting a more exciting prospect of virtual-reality (VR) style simulation in process engineering. Some preliminary results can be found in our recent publications [2,3] and the most recent developments will be presented in the talk.

  

  1. Wang, X. & Ge, W. 2013. Chapter 5: The Mole-8.5 Supercomputing System. In: Vetter, J. S. eds.Contemporary High Performance Computing from Petascale toward Exascale. pp. 75-98. Boca Raton: Chapman & Hall / CRC.

  2. Ge, W. et al. 2011. Meso-scale oriented simulation towards virtual process engineering (VPE) - The EMMS Paradigm. Chemical Engineering Science 66, 4426-4458.

  3. Ge, W. et al. 2015. Multiscale discrete supercomputing - a game changer for process simulation? Chemical Engineering & Technology 38, 575-584.