Predicting the Shelf-Life of Single Base Propellants

Article Preview

Abstract:

Ammunitions stored in war fields have lifespans that are related to the single base propellants, as Nitrocellulose (NC), the main component of propelling gunpowder, decomposes naturally into an unstable substance, similar to other nitric acid esters. Decomposition is inevitable; however a decomposition product (NO2, NO3, and HNO3) and tranquillizer DPA (Diphenylamine), which have high reactivity, can be added to a propellant to restrain the induction of automatic catalysis by a decomposition product. The decay rate of the tranquillizer is also affected by the production rate of the decomposition product of NC. Thus, as the storage period of single base propellants lengthens, the reduction rate of the tranquillizer content increases. This paper presents a new methodology based on data mining and regression analysis for estimating the shelf-life of single base propellants using data from the ASRP to 105mm HE (KM1 and M1).

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1257-1262

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] A. Bergens, R. Danielsson, Decomposition of Diphenylamine in Nitrocellulose Based Propellants-I, Talanta, 42, (1995), pp.171-183.

DOI: 10.1016/0039-9140(94)00333-n

Google Scholar

[2] M.J. Choi, H.J. Park and J.K. Yang, A Study on Cost Analysis for a the Period of A-TLC (Ammunition - Total Life Cycle), Republic of Korea Army (2013).

Google Scholar

[3] J. Cohen, Statistical Power Analysis for the Behavioral Sciences, 2nd Edition, Lawrence Erlbaum Associates, Inc. (1988).

Google Scholar

[4] Solid Propellants for Cannons Requirement and Packing, MIL-STD-652D, US. Army, 17-18 (1983).

Google Scholar

[5] A. W. Soliman, Action of a New Material on Storage of Single Base Propellant, Propellants, Explosives, Pyrotechnics, 10 (1985), pp.105-107.

DOI: 10.1002/prep.19850100404

Google Scholar

[6] M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, I.H. Witten, The WEKA Data Mining Software: An Update, SIGKDD Explorations, 11(1), (2009).

DOI: 10.1145/1656274.1656278

Google Scholar