Identification of the Distribution of Muzzle Velocity and Maximum Pressure in the Barrel for a Typical Rifle
Downloads
The paper presents the procedure for identifying the distribution of muzzle velocity and the maximum pressure in the barrel for a typical 7.62mm rifle. Input data are collected through the experiment using 50 shots for muzzle velocity and 20 shots for maximum pressure. The distribution is identified with the support of Minitab software. Research results show three distributions suitable with muzzle velocity and maximum pressure in the barrel: the normal, 2P-Weibull and 3P-Weibull. Among them, the 3P-Weibull distribution is best suited to the muzzle velocity and the normal distribution is best suited to the maximum pressure in the barrel. The research results of the paper will help reduce the number of experiments when determining the muzzle velocity and the maximum pressure of the rifle.
Degirmenci, Ercan. “Semi-empirical prediction of internal pressure distribution and muzzle velocity in the rifled barrel of a light weapon.” Measurement 70 (2015): 123-128.
https://doi.org/10.1016/j.measurement.2015.03.047
Park, Sung-Ho, et al. “A Study on Statistical Distribution of Muzzle Velocity of 155mm Propelling Charge.” Proceedings of the Korean Society of Propulsion Engineers Conference. The Korean Society of Propulsion Engineers, (2009).
Park, Sung-Ho, and Jae-Hoon Kim. “Effects of Calibration Rounds on the Statistical Distribution of Muzzle Velocity in Acceptance Test of Propelling Charge.” Journal of the Korea Institute of Military Science and Technology 17.2 (2014): 204-212.
Kim, Jaekab, and Jaehoon Kim. “Analysis of Probability Distribution of Muzzle Velocity for Chrome Plated Barrel.” Journal of the Korea Institute of Military Science and Technology 24.4 (2021): 401-407. https://doi.org/10.9766/KIMST.2021.24.4.401
Van Hung, Nguyen. “Prediction of the distribution and effect of diameters of the cylinder and the piston post-manufacture on the operation of gas-operated automatic rifles.” Vietnam Journal of Science and Technology 61.2 (2023): 310-322. https://doi.org/10.15625/2525-2518/16627
H.N.S. Krishnamoorthy, Z. Jacob, E. Narimanov, I. Kretzschmar, V.M. Menon, Science 336 (2012) 205.
F.G.Friedlander, Introduction to the Theory of Distributions. Cambridge University Press (1998).
R.S. Strichartz, A guide to distribution theory and Fourier transforms. World Scientific Publishing Company (2003).
G. Grubb, Distributions and operators (Vol. 252). Springer Science & Business Media (2008).
S.A. Lesik. Applied statistical inference with MINITAB®. CRC Press (2018).
