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

• Published in: AIP advances Vol. 9; no. 7; pp. 075325 - 075325-12
• Main Authors: Xiao, Liqun, Fu, Xiaolong, Fan, Xuezhong, Li, Jizhen, Xie, Wanli
• Format: Journal Article
• Language: English
• Published: Melville American Institute of Physics 01.07.2019; AIP Publishing LLC
• Subjects: Algorithms; Aluminum; Computer simulation; Discrete element method; Distribution functions; Microstructure; Pattern analysis; Radial distribution; Solid propellants
• ISSN: 2158-3226; 2158-3226
• DOI: 10.1063/1.5112811

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.