Discrete Element Simulations of Granular Flow in a Pebble Bed Reactor

Author(s):  
Xiang Zhao ◽  
Trent Montgomery ◽  
Sijun Zhang

This paper presents discrete element simulations of granular flow in a rectangular hopper model of the pebble bed reactor (PBR). Two flow conditions with/without granular materials recycled back are considered in this work. For both flows, the simulations have been conducted under comparable conditions so that the similarity and difference between them can be examined. The distributions of the physical properties including flow patterns, velocity and flow structure are also investigated. Moreover, the mean velocity, diffusion and particle mixing, the effects of wall friction have been analyzed based on the simulation results. The implications for the reactor design and fundamental research on granular flow physics are discussed as well.

2017 ◽  
Vol 199 (1) ◽  
pp. 47-66
Author(s):  
Vaibhav Khane ◽  
Mahmoud M. Taha ◽  
Gary E. Mueller ◽  
Muthanna H. Al-Dahhan

2006 ◽  
Vol 129 (4) ◽  
pp. 593-600 ◽  
Author(s):  
Harald Kruggel-Emden ◽  
Erdem Simsek ◽  
Siegmar Wirtz ◽  
Viktor Scherer

Based on LEAT’s discrete element codes, granular flow and mixing on conveying equipment are studied in two and three dimensions. Discrete element simulations, which are briefly introduced, provide detailed information on particle positions and velocities over time. This information is used to derive quantities characterizing the dynamic process of mixing. The main focus of the study presented is the mixing process of inhomogeneous particle ensembles on different grate types. For this purpose, the introduced mixing parameters are used to compare the mixing in a 3D situation with the corresponding 2D approximation on identical grates and to compare different grate designs in two dimensions.


Author(s):  
Xiang Zhao ◽  
Trent Montgomery ◽  
Sijun Zhang

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.


2017 ◽  
Vol 10 (3) ◽  
pp. 99-108 ◽  
Author(s):  
Yin Xiong ◽  
Ge Liang ◽  
Gui Nan ◽  
Yang Xingtuan ◽  
Tu Jiyuan ◽  
...  

The HTR-10 built at Tsinghua University is an advanced pebble bed reactor because of its inherent safety and economic efficiency. It is fundamental to explore the voidage of the pebble bed. The existing experimental bed is limited in depth and contains mono-size pebbles. The effects of pebble size and bed dimension of voidage distribution are still not well known. In this work, the discrete element method is used to simulate the static packing of pebbles of three sizes in 2D and 3D pebble beds under the same load. The effects of bed dimension and pebble size on voidage distribution are analyzed. The results are useful for better understanding of the voidage distribution of pebble bed reactor and the effects of bed dimension and particle size as well as the wall effects.


Author(s):  
Harald Kruggel-Emden ◽  
Erdem Simsek ◽  
Siegmar Wirtz ◽  
Viktor Scherer

Based on LEAT’s discrete element codes, granular flow and mixing on conveying equipment is studied in two and three dimensions. Discrete element simulations, which are briefly introduced, provide detailed information on particle positions and velocities over time. This information is used to derive quantities characterizing the dynamic process of mixing. The main focus of the study presented is the mixing process of inhomogeneous particle ensembles on different grate types. For this purpose the introduced mixing parameters are used to compare the mixing in a 3D situation with the corresponding 2D approximation on identical grates and to compare different grate designs in two dimensions.


Kerntechnik ◽  
2017 ◽  
Vol 82 (6) ◽  
pp. 643-647 ◽  
Author(s):  
T. Setiadipura ◽  
D. Irwanto ◽  
Zuhair

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