Study of filtered interphase heat transfer using highly resolved CFD–DEM simulations

AIChE Journal ◽  
2020 ◽  
Author(s):  
He Lei ◽  
Li‐Tao Zhu ◽  
Zheng‐Hong Luo
Keyword(s):  
Heat Transfer ◽  
Interphase Heat Transfer ◽  
Dem Simulations

Combined CFD and DEM Simulations of Fluid Flow and Heat Transfer in a Pebble Bed Reactor

2011 ◽  
Author(s):  
Xiang Zhao ◽  
Trent Montgomery ◽  
Sijun Zhang
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Discrete Element Method ◽  
Reactor Core ◽  
Turbulence Models ◽  
Discrete Element ◽  
Pebble Bed ◽  
Pebble Bed Reactor ◽  
Packing Structure ◽  
Dem Simulations

This paper presents combined computational fluid dynamics (CFD) and discrete element method (DEM) simulations of fluid flow and relevant heat transfer in the pebble bed reactor core. In the pebble bed reactor core, the coolant passes highly complicated flow channels, which are formed by thousands of pebbles in a random way. The random packing structure of pebbles is crucial to CFD simulations results. The realistic packing structure in an entire pebble bed reactor (PBR) is generated by discrete element method (DEM). While in CFD calculations, selection of the turbulence models have great importance in accuracy and capturing the details of the flow features, in our numerical simulations both large eddy simulation (LES) and Reynolds-averaged Navier-Stokes (RANS) models are employed to investigate the effects of different turbulence models on gas flow field and relevant heat transfer. The calculations indicate the complex flow structure within the voids between the pebbles.

DEM Simulations on the Heat Conduction in a Particle Mixer

2012 ◽  
Vol 549 ◽  
pp. 908-913 ◽  
Author(s):  
Yu Peng Xu ◽  
Li Jie Cui ◽  
Xin Xin Ren ◽  
Wei Ge ◽  
Wei Gang Lin
Keyword(s):  
Heat Transfer ◽  
Heat Conduction ◽  
Temperature Distribution ◽  
Powder Processing ◽  
Fast Pyrolysis ◽  
Interior Structure ◽  
Enhance Heat Transfer ◽  
Dem Simulations ◽  
Optimal Values ◽  
Simulation Results

Understanding the heat transfer among particles with uneven temperature distribution is a key to powder processing. In this work, the discrete element method (DEM) is used to optimize the interior structure of a particle mixer with multiple baffles to achieve better heat transfer between two particulate materials. The simulation results show that optimal values exist for the number of baffles and their widths, slope angles and spacing to enhance heat transfer. The results are helpful to the design of a variety of process such as the ultra-fast pyrolysis in “coal topping”.

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