Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
A model to simulate propellant combustion in a closed bomb and a method for burn rate measurement are presented. The model incorporates the 2D ICT‐Cellular‐Combustion‐Algorithm which numerically simulates the 2D form function of an arbitrary shaped propellant cross section. With the help of preprocessing algorithms to calculate initial surface and volume and a lumped parameter model, which also takes into account pressure dependent thermochemistry, pressure vs. time curves and the dynamic vivacity can be simulated. The model is then coupled with different optimization algorithms to minimize an objective function for burn rate measurement with either pressure or vivacity data. Four different optimization algorithms are compared in detail using synthetic pressure‐time and dynamic vivacity data of a 7 perforated propellant with and without white noise. The testing shows that the so called Nelder‐Mead‐Downhill‐Simplex algorithm with a vivacity based objective function allows the most precise, robust and computationally cost effective burn rate measurement. Experimental results for 7 perforated JA2 propellant from a 306 cm3 closed bomb are used to determine Vieille′s parameters α and β. The determined values of α=0,9520±0,006319 and β=0,1522±0,007592 mm/s are in good agreement with previously reported values of α=0.9517 and β=0.1467 mm/s. With the presented model and burn rate measurement method it is possible to determine the burning rates of solid propellants with a high degree of accuracy.
A model to simulate propellant combustion in a closed bomb and a method for burn rate measurement are presented. The model incorporates the 2D ICT‐Cellular‐Combustion‐Algorithm which numerically simulates the 2D form function of an arbitrary shaped propellant cross section. With the help of preprocessing algorithms to calculate initial surface and volume and a lumped parameter model, which also takes into account pressure dependent thermochemistry, pressure vs. time curves and the dynamic vivacity can be simulated. The model is then coupled with different optimization algorithms to minimize an objective function for burn rate measurement with either pressure or vivacity data. Four different optimization algorithms are compared in detail using synthetic pressure‐time and dynamic vivacity data of a 7 perforated propellant with and without white noise. The testing shows that the so called Nelder‐Mead‐Downhill‐Simplex algorithm with a vivacity based objective function allows the most precise, robust and computationally cost effective burn rate measurement. Experimental results for 7 perforated JA2 propellant from a 306 cm3 closed bomb are used to determine Vieille′s parameters α and β. The determined values of α=0,9520±0,006319 and β=0,1522±0,007592 mm/s are in good agreement with previously reported values of α=0.9517 and β=0.1467 mm/s. With the presented model and burn rate measurement method it is possible to determine the burning rates of solid propellants with a high degree of accuracy.
The geometric shape and material structure of gun propellant grains control the pressure evolution during combustion and, consequently, the performance of the ammunition. Due to the large number of degrees of freedom, additive manufacturing offers novel opportunities for grain shape and structure design. However, this new freedom necessitates the development of new algorithms for modeling and simulation of surface regression. In traditional combustion models, it is assumed that the propellant′s burn rate is a global quantity on its surface, which enables separate simulation of the surface regression and pressure evolution. To exploit the full potential of additive manufacturing and optimize designs for different applications, it is necessary to simulate grain structures with locally different burn rates on the surface. This work presents a model to simulate quantitatively the combustion of multi‐material and complex‐shaped solid propellant grains in a closed vessel for the first time. A lumped parameter pressure model is coupled with a surface regression simulation based on the level set method. The model is validated by comparison to analytical surface regression. Then, for the first time, a combustion simulation of a multi‐material ball propellant grain consisting of two hemispheres in a closed vessel is presented. Compared to a combustion simulation using global and weighted mean burn rate values, the pressure and vivacity curve shows significant differences. This demonstrates impressively that for predicting the performance potential of multi‐material and complex‐shaped solid gun propellant grains, a quantitative and accurate combustion simulation is indispensable.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.