Simulation of solid propellant microstructures by combining the collective rearrangement method with the discrete element method

The polydisperse particulate components in solid propellant are incompact and randomly packed, which determines the microstructural features of the propellants. A packing method, combining the discrete element method (DEM) and collective rearrangement method, was applied to model propellant microstr...

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Main Authors: Liqun Xiao, Xiaolong Fu, Xuezhong Fan, Jizhen Li, Wanli Xie
Format: Article
Language:English
Published: AIP Publishing LLC 2019-07-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.5112811
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spelling doaj-2839c733e4dc4c399c50ccc1909371ee2020-11-25T02:53:05ZengAIP Publishing LLCAIP Advances2158-32262019-07-0197075325075325-1210.1063/1.5112811096907ADVSimulation of solid propellant microstructures by combining the collective rearrangement method with the discrete element methodLiqun Xiao0Xiaolong Fu1Xuezhong Fan2Jizhen Li3Wanli Xie4Xi’an Modern Chemistry Research Institute, Xi’an 710065, ChinaXi’an Modern Chemistry Research Institute, Xi’an 710065, ChinaXi’an Modern Chemistry Research Institute, Xi’an 710065, ChinaXi’an Modern Chemistry Research Institute, Xi’an 710065, ChinaState Key Laboratory of Continental Dynamics, Department of Geology, Northwestern University, Xi’an 710069, ChinaThe polydisperse particulate components in solid propellant are incompact and randomly packed, which determines the microstructural features of the propellants. A packing method, combining the discrete element method (DEM) and collective rearrangement method, was applied to model propellant microstructures. The validity of this method was investigated by comparing the calculated and experimental properties of the monodisperse, bidisperse, and polydisperse random close packed sphere systems. The propellant models were generated using a stepwise approach, and their homogeneity, local randomness, and long-range pattern were analyzed. A statistical study of aluminum (Al) particle distribution was also conducted. The results indicated that this packing method can effectively determine the microscopic characteristics of random close packed monodisperse spheres. The maximum packing fraction of bidisperse and polydisperse spheres had similar trends to those reported in experimental studies and using other packing algorithms. In addition, this method was capable of generating non-compacted propellant structures with uniformly distributed polydisperse particles. The radial distribution functions (RDFs) for Al-Al particles provided information about the Al distribution, but this was mainly related to the size and content of the large particle components.http://dx.doi.org/10.1063/1.5112811
collection DOAJ
language English
format Article
sources DOAJ
author Liqun Xiao
Xiaolong Fu
Xuezhong Fan
Jizhen Li
Wanli Xie
spellingShingle Liqun Xiao
Xiaolong Fu
Xuezhong Fan
Jizhen Li
Wanli Xie
Simulation of solid propellant microstructures by combining the collective rearrangement method with the discrete element method
AIP Advances
author_facet Liqun Xiao
Xiaolong Fu
Xuezhong Fan
Jizhen Li
Wanli Xie
author_sort Liqun Xiao
title Simulation of solid propellant microstructures by combining the collective rearrangement method with the discrete element method
title_short Simulation of solid propellant microstructures by combining the collective rearrangement method with the discrete element method
title_full Simulation of solid propellant microstructures by combining the collective rearrangement method with the discrete element method
title_fullStr Simulation of solid propellant microstructures by combining the collective rearrangement method with the discrete element method
title_full_unstemmed Simulation of solid propellant microstructures by combining the collective rearrangement method with the discrete element method
title_sort simulation of solid propellant microstructures by combining the collective rearrangement method with the discrete element method
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2019-07-01
description The polydisperse particulate components in solid propellant are incompact and randomly packed, which determines the microstructural features of the propellants. A packing method, combining the discrete element method (DEM) and collective rearrangement method, was applied to model propellant microstructures. The validity of this method was investigated by comparing the calculated and experimental properties of the monodisperse, bidisperse, and polydisperse random close packed sphere systems. The propellant models were generated using a stepwise approach, and their homogeneity, local randomness, and long-range pattern were analyzed. A statistical study of aluminum (Al) particle distribution was also conducted. The results indicated that this packing method can effectively determine the microscopic characteristics of random close packed monodisperse spheres. The maximum packing fraction of bidisperse and polydisperse spheres had similar trends to those reported in experimental studies and using other packing algorithms. In addition, this method was capable of generating non-compacted propellant structures with uniformly distributed polydisperse particles. The radial distribution functions (RDFs) for Al-Al particles provided information about the Al distribution, but this was mainly related to the size and content of the large particle components.
url http://dx.doi.org/10.1063/1.5112811
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AT xuezhongfan simulationofsolidpropellantmicrostructuresbycombiningthecollectiverearrangementmethodwiththediscreteelementmethod
AT jizhenli simulationofsolidpropellantmicrostructuresbycombiningthecollectiverearrangementmethodwiththediscreteelementmethod
AT wanlixie simulationofsolidpropellantmicrostructuresbycombiningthecollectiverearrangementmethodwiththediscreteelementmethod
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