Improving the model for determining the composition of gunpowder gases during thermal destruction of gunpowder in a limited volume space

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.330654

Keywords:

thermal destruction of powder, powder gases, compressibility coefficient, equilibrium model, condensed carbon

Abstract

The object of this study is a model of the process of formation of products of thermal destruction of nitrocellulose powder at different values of pressure of the mixture of powder gases.

The work is aimed at eliminating the uncertainty in the list of powder combustion products. In many cases, the formation of condensed carbon during the shot is not taken into account, which does not correspond to the real process.

The process of formation of powder combustion products has been studied both under experimental conditions at a pressure of several MPa, and under shot conditions at a pressure of ~300 MPa and more. The proposed model makes it possible to explain the cause and conditions of condensed carbon formation. The possibility of formation of up to 10 % of condensed carbon from the initial mass of powder during the shot has been shown.

An improved model was built using the molar composition of the combustion products. The calculation of the specific volumes of gaseous reaction products with a change in the pressure of the gas mixture was carried out taking into account the change in their compressibility coefficient based on the Peng-Robinson equation. Within the limits of pressure values change during the shot process, the possibility of changing the equilibrium constant values in the range from ~40 % to twofold has been shown. The formation of condensed carbon is explained by the reaction of carbon monoxide disproportionation. The range of values of thermodynamic parameters of powder gases that ensure the possibility of this reaction was identified.

The proposed model could be used in the experimental determination of the composition and energy characteristics of a powder sample in the field based on the library method. Given the identified powder composition, the problem of internal ballistics could be solved for the prompt determination of shot parameters

Author Biographies

Olexander Brunetkin, Odesa Polytechnic National University

Doctor of Technical Sciences, Professor

Department of Software and Computer-Integrated Technologies

Oleksandr Sidelnykov, Odesa Polytechnic National University

PhD Student

Department of Software and Computer-Integrated Technologies

Maksym Maksymov, Odesa Polytechnic National University

Doctor of Technical Sciences, Professor, Head of Department

Department of Software and Computer-Integrated Technologies

Yevhenii Dobrynin, Naval Institute of the National University “Odessa Maritime Academy”

Head of the Scientific Center

Scientific Center

References

  1. Paraschiv, T., Tiganescu, T. V., Iorga, G. O., Ginghina, R. E., Grigoroiu, O. C. (2020). Experimental and Theoretical Study on Three Combustion Models for the Determination of the Performance Parameters of Nitrocellulose - Based Propellants. Revista de Chimie, 71 (9), 87–97. https://doi.org/10.37358/rc.20.9.8320
  2. Kazandjian, L., Danel, J. (2006). A Discussion of the Kamlet‐Jacobs Formula for the Detonation Pressure. Propellants, Explosives, Pyrotechnics, 31 (1), 20–24. https://doi.org/10.1002/prep.200600002
  3. Appleton, R. J., Salek, P., Casey, A. D., Barnes, B. C., Son, S. F., Strachan, A. (2024). Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks. The Journal of Physical Chemistry A, 128 (6), 1142–1153. https://doi.org/10.1021/acs.jpca.3c06159
  4. Politzer, P., Murray, J. (2011). Some perspectives on estimating detonation properties of C, H, N, O compounds. Central European Journal of Energetic Materials, 8 (3), 209–220. Available at: https://www.researchgate.net/publication/279594253_Some_perspectives_on_estimating_detonation_properties_of_C_H_N_O_compounds
  5. Jensen, T. L., Moxnes, J. F., Unneberg, E., Dullum, O. (2014). Calculation of Decomposition Products from Components of Gunpowder by using ReaxFF Reactive Force Field Molecular Dynamics and Thermodynamic Calculations of Equilibrium Composition. Propellants, Explosives, Pyrotechnics, 39 (6), 830–837. https://doi.org/10.1002/prep.201300198
  6. Pantea, D., Brochu, S., Thiboutot, S., Ampleman, G., Scholz, G. (2006). A morphological investigation of soot produced by the detonation of munitions. Chemosphere, 65 (5), 821–831. https://doi.org/10.1016/j.chemosphere.2006.03.027
  7. Podlesak, D. W., Huber, R. C., Amato, R. S., Dattelbaum, D. M., Firestone, M. A., Gustavsen, R. L. et al. (2017). Characterization of detonation soot produced during steady and overdriven conditions for three high explosive formulations. AIP Conference Proceedings, 1793, 030006. https://doi.org/10.1063/1.4971464
  8. Yan, C., Zhu, C. (2023). Quantitative assessment method of muzzle flash and smoke at high noise level on field environment. Scientific Reports, 13 (1). https://doi.org/10.1038/s41598-023-27722-0
  9. Harries, M., Ang, H.-G. (2008). Software Development for the Detonation Product Analysis of High Energetic Materials - Part I. Central European Journal of Energetic Materials, 5 (3-4), 19–35. Available at: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=87178de51c47f3241bac52650b0952ac65a4b383
  10. Brunetkin, O., Maksymov, M., Brunetkin, V., Maksymov, О., Dobrynin, Y., Kuzmenko, V., Gultsov, P. (2021). Development of the model and the method for determining the influence of the temperature of gunpowder gases in the gun barrel for explaining visualize of free carbon at shot. Eastern-European Journal of Enterprise Technologies, 4 (1 (112)), 41–53. https://doi.org/10.15587/1729-4061.2021.239150
  11. Brunetkin, O., Maksymov, M., Dobrynin, Y., Demydenko, V., Sidelnykov, O. (2024). Development of a process model for determining the composition and energy characteristics of a pyrotechnic mixture using the library method. EUREKA: Physics and Engineering, 5, 99–112. https://doi.org/10.21303/2461-4262.2024.003453
  12. Brunetkin, O., Maksymov, M. V., Maksymenko, A., Maksymov, M. M. (2019). Development of the unified model for identification of composition of products from incineration, gasification, and slow pyrolysis. Eastern-European Journal of Enterprise Technologies, 4 (6 (100)), 25–31. https://doi.org/10.15587/1729-4061.2019.176422
  13. Thermodynamic and thermophysical properties of combustion products (1974). Israel Program for Scientific Translations. Available at: https://searchworks.stanford.edu/view/892711
  14. Brunetkin, O., Davydov, V., Butenko, O., Lysiuk, G., Bondarenko, A. (2019). Determining the composition of burned gas using the method of constraints as a problem of model interpretation. Eastern-European Journal of Enterprise Technologies, 3 (6 (99)), 22–30. https://doi.org/10.15587/1729-4061.2019.169219
  15. Mianowski, A., Robak, Z., Tomaszewicz, M., Stelmach, S. (2012). The Boudouard–Bell reaction analysis under high pressure conditions. Journal of Thermal Analysis and Calorimetry, 110 (1), 93–102. https://doi.org/10.1007/s10973-012-2334-2
  16. Kotov, V. G., Sviatenko, O. M., Khovavko, A. I., Nebesniy, A. A., Filonenko, D. S. (2014). Thermodynamics of Carbon-Black For- mation Process at High Hydrogen Concentration in Gas which Contains Carbon Monoxide. Energy technologies and resource savings, 1, 38–43. Available at: http://dspace.nbuv.gov.ua/handle/123456789/127270
  17. Karaeva, A. R., Khaskov, M. A., Mitberg, E. B., Kulnitskiy, B. A., Perezhogin, I. A., Ivanov, L. A. et al. (2012). Longer Carbon Nanotubes by Controlled Catalytic Growth in the Presence of Water Vapor. Fullerenes, Nanotubes and Carbon Nanostructures, 20 (4-7), 411–418. https://doi.org/10.1080/1536383x.2012.655229
  18. Rout, K. R., Gil, M. V., Chen, D. (2019). Highly selective CO removal by sorption enhanced Boudouard reaction for hydrogen production. Catalysis Science & Technology, 9 (15), 4100–4107. https://doi.org/10.1039/c9cy00851a
  19. Maksimov, M. V., Brunetkin, O. I., Lysyuk, O. V., Tarakhtiy, O. S. (2017). Pat. No. 120216 UA. Installation for Determining the Composition of Combustible Gas in the Process of Combustion. No. а201712785; declareted: 22.12.2017; published: 11.06.2018.
Improving the model for determining the composition of gunpowder gases during thermal destruction of gunpowder in a limited volume space

Downloads

Published

2025-06-17

How to Cite

Brunetkin, O., Sidelnykov, O., Maksymov, M., & Dobrynin, Y. (2025). Improving the model for determining the composition of gunpowder gases during thermal destruction of gunpowder in a limited volume space. Eastern-European Journal of Enterprise Technologies, 3(6 (135), 35–45. https://doi.org/10.15587/1729-4061.2025.330654

Issue

Section

Technology organic and inorganic substances