Abstract
Accurate analysis of the dynamic response of the muzzle shows a vital role in improving the accuracy of small-caliber artillery burst fire. However, the complex small-caliber artillery system and the uncertainty of parameters make the muzzle dynamic response analysis more difficult. To solve the problem that it is difficult to analyze the dynamic response of small-caliber artillery containing uncertain parameters by traditional methods, the critical uncertain parameters are regarded as interval variables, and the bonded space theory is used to establish the muzzle dynamic response model of small-caliber artillery with continuous firing, and combined with Chebyshev polynomial expansion method to solve it, and finally the muzzle dynamic response interval is obtained. Through computational analysis and experimental testing, 84.6 % and 95 % of the tested muzzle dynamic response curves in the horizontal and vertical directions fall into the simulation interval, respectively. Meanwhile, the error of the mean, the variance, the most value, and the amplitude of the test and simulation are less than 10 %, which verifies the method’s accuracy. In addition, by adjusting the optimized parameters, the amplitude of the dynamic response of the muzzle was reduced by 78.67 %. We conclude that the muzzle dynamic response interval method works well for analyzing and controlling the muzzle dynamic response problem with the desired accuracy.
Similar content being viewed by others
Abbreviations
- m i :
-
The mass of the i-th equivalent concentrated mass
- Jx i :
-
The rotational inertia in the x-direction of the i-th equivalent concentrated mass
- Jy i :
-
The rotational inertia in the y-direction of the i-th equivalent concentrated mass
- Jz i :
-
The rotational inertia in the z-direction of the i-th equivalent concentrated mass
- 1 :
-
The common flow element
- 0 :
-
The common effort element
- E :
-
The effort source element
- Sf :
-
The flow source element
- I :
-
The inertial element
- C :
-
The capacitive element
- R :
-
The resistive element
- TF :
-
The speed-transmission ratio element
- p :
-
The generalized momentum of the independent single-port element
- q :
-
The generalized displacement of the independent single-port element
- e :
-
The interaction force
- E ndd :
-
The combined force of artillery chamber
- E 3-2 :
-
Force between the projectile belt and the barrel
- Sf 3-2 :
-
Relative velocity between the projectile belt and the barrel
- E 3-3 :
-
Force between the projectile head section and the barre
- Sf 3-3 :
-
Relative velocity between the projectile head section and the barrel
- T i :
-
Velocity ratio matrix characterizing the barrel structure
- T 1-1~T 1-5 :
-
Velocity ratio matrix characterizing the artillery box structure
- C i :
-
Capacitive matrix characterizing material properties
- R i :
-
Resistive matrix characterizing material properties
- C 1-1~C 1-4 :
-
Capacitive matrix characterizing contact
- R 1-1~R 1-4 :
-
Resistive matrix characterizing contact
- P :
-
The combined matrix of generalized momentum
- Q :
-
The combined matrix of generalized displacement
- q k :
-
The matrix of the muzzle dynamic response
- \({\boldsymbol{q}}_k^I\) :
-
The interval matrix of the muzzle dynamic response
- \({\boldsymbol{q}}_k^L\) :
-
Lower limit of the muzzle dynamic response interval matrix
- \({\boldsymbol{q}}_k^U\) :
-
Upper limit of the muzzle dynamic response interval matrix
- α :
-
The set of deterministic parameters
- U I :
-
The set of interval parameters
- p :
-
The number of uncertain parameters
- m :
-
The number of interpolation points
- \(u_i^c\) :
-
The median value of the interval parameters
- β i :
-
The uncertainty coefficient
- \({u_{i,{j_i}}}\) :
-
The i-th interpolation point of the ji-th uncertain parameter
- \(u_i^U\) :
-
Upper limit of the i-th interpolation point
- \(u_i^L\) :
-
Lower limit of the i-th interpolation point
- \({\theta _{{j_i}}}\) :
-
Interpolation factor
- I 1,…,I p :
-
The serial number of the terms in the numerical integration
- \({f_{{l_1}, \ldots,{l_p}}}(t)\) :
-
The coefficients in the gaussian chebyshev numerical integration
References
G. L. Yang, J. L. Ge and Q. Z. Sun, Development status and application prospects of artillery vibration and control, Journal of Vibration Testing and Diagnosis, 41(6) (2021) 1043–1051+1232 (in Chinese).
X. Wang, X. T. Rui, J. H. Wang, J. S. Zhang, G. Y. Wu and J. J. Gu, Vibration characteristics analysis of tank gun barrel with non-uniform cross-section, Acta Mechanica Sinica, 38(6) (2022) 151–161.
H. Zhang, X. Yang, L. M. Chen and X. W. Zhu, Automatic measurement method of cannon barrel pointing based on binocular vision, ACTA Optica Sinica, 43(2) (2023) 106–114 (in Chinese).
J. P. Zha, Y. H. Chen and S. Zhu, Numerical simulation of helicopter simulation platform under the action of aerial gun shock wave, Chinese Journal of Applied Mechanics, 39(4) (2022) 627–632 (in Chinese).
Y. Chen, G. Yang and Q. Sun, Dynamic simulation on vibration control of marching tank gun based on adaptive robust control, Journal of Low Frequency Noise, Vibration, and Active Control, 39(2) (2020) 416–434.
P. F. Yue, D. S. Wang and B. Liu, Dynamics analysis of coupled body tube and rocker system under projectile excitation, Journal of Huazhong University of Science and Technology (Natural Science Edition), 47(5) (2019) 16–21 (in Chinese).
C. G. Feng, W. Bo and C. B. Li, Self-propelled artillery marching firing dynamics study, Journal of China Ordnance (4) (2002) 457–461 (in Chinese).
C. Yu, G. L. Yang and Q. Z. Sun, Simulation and control of muzzle vibration of high-speed motorized tank with flexible compensation of body tube, Journal of Vibration and Shock, 41(11) (2022) 50–54+89 (in Chinese).
H. F. Guo, M. S. Wang and T. Tian, Analysis of the effect of a chain gun barrel shaker on firing accuracy, Journal of Arms and Equipment Engineering, 42(6) (2021) 91–95 (in Chinese).
Y. Chen, G. L. Yang, J. F. Liu and H. G. Zhou, Dynamic bending of gun barrel during tank moving under multi-source excitation, Journal of Vibration and Shock (41) (2023) 16–21 (in Chinese).
Z. H. Xie, N. Liu, J. W. Huang and Y. P. Shen, Comparative study on effect of eddy current damper arrangement on muzzle vibration, Journal of Ordnance Equipment Engineering (43) (2022) 204–209 (in Chinese).
D. Karnopp, R. Rosenberg and A. S. Perelson, System dynamic: a unified approach, IEEE Transactions on Systems, Man, and Cybernetics, SMC-6 (10) (1976) 724–724.
J. S. Dai, M. S. Wang and X. P. Su, Design Theory of Modern Artillery Automatics, National Defense Industry Press, Beijing (2018) (in Chinese).
Y. Xing, E. Pedersen and T. Moan, An inertia-capacitance beam substructure formulation based on the bond graph method with application to rotating beams, Journal of Sound and Vibration, 330 (21) (2011).
Y. Ming, M. Jie and Z. Rensheng, Sensor fault diagnosis for uncertain dissimilar redundant actuation system of more electric aircraft via bond graph and improved principal component analysis, Measurement Science and Technology, 34 (1) (2023).
R. Ibănescu and C. Ungureanu, Lagrange’s equations versus bond graph modeling methodology by an example of a mechanical system, Applied Mechanics and Materials, 4239 (809–810) (2015).
S. Y. Lin, M. S. Wang, Y. Y. Xie, Y. Li and J. S. Dai, The bond space representation of beam bending vibration and its application to muzzle disturbance analysis, Journal of China Ordnance, 44(6) (2023) 1775–1783 (in Chinese).
W. Zhan, S. Y. Lin, Y. Y. Xie, Y. Li and J. S. Dai, Effect of buffer asymmetry on the characteristics of automata, Journal of Military Automation, 41(11) (2022) 11–48 (in Chinese).
F. Xu, G. Yang, L. Wang, Z. Li and X. Wang, A robust game optimization for electromagnetic buffer under parameters uncertainty, Engineering with Computers, 39(3) (2023) 1791–1806.
C. Yu, C. Youhui and Y. Guolai, Neural adaptive pointing control of a moving tank gun with lumped uncertainties based on dynamic simulation, Journal of Mechanical Science and Technology, 36(6) (2022) 2709–2720.
Z. X. Li, G. L. Yang and J. L. Ge, Multi-objective optimization for cradle carriage of gun considering material property parameter errors, Journal of Nanjing University of Science and Technology, 41 (6) (2017).
F. J. Xu, G. L. Yang and L. Q. Wang, Artillery structural dynamic responses uncertain optimization based on robust Nash game method, Journal of Mechanical Science and Technology, 35(9) (2021) 4093–4104.
F. J. Xu, G. L. Yang and L. Q. Wang, Stochastic planning-based optimization of uncertainty in the bore firing performance of artillery, Journal of Ballistics, 31(1) (2019) 1–6 (in Chinese).
L. Q. Wang, Z. T. Chen and G. L. Yang, An uncertainty analysis method for artillery dynamics with hybrid stochastic and interval parameters, Computer Modeling in Engineering and Sciences, 126(2) (2021) 479–503.
C. G. M. Groothuis-Oudshoorn, H. Broekhuizen and J. Hummel, Parameter uncertainty in value based multi criteria decision analysis, A Systematic Review of Methods, 16 (2013).
C. Jiang, Interval-based uncertainty optimization theory and algorithms, Ph.D. Dissertation, Hunan University (2008) (in Chinese).
R. Li, G. L. Yang and Q. Z. Sun, Optimization study of interval uncertainty of artillery recoil resistance, Journal of Ballistics, 29(2) (2017) 78–84 (in Chinese).
D. Bao, Q. Q. Zhao and B. L. Hou, Identification of uncertain parameters in the interval of an artillery recoil device, Journal of Harbin Engineering University, 42(5) (2021) 687–693 (in Chinese).
M. Alexy and J. Louis, Nonlinear and stochastic analysis of dynamical instabilities based on Chebyshev polynomial properties and applied to a mechanical system with friction, Mechanical Systems and Signal Processing, 189 (2023).
K. M. Owolabi and P. Edson, Dynamics of fractional chaotic systems with chebyshev spectral approximation method, International Journal of Applied and Computational Mathematics, 8 (3) (2022).
Z. Tianyu, L. Kun and M. Hui, Study on dynamic characteristics of a rotating cylindrical shell with uncertain parameters, Analysis and Mathematical Physics, 12 (4) (2022).
Acknowledgments
This work was supported by the Fund of study on the mechanism of aerogun burst XXX (in Chinese, Fund No.2019 JCXXX135), China.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Additional information
He Fu is a Ph.D. student in the School of Mechanical Engineering at Nanjing University of Technology. He received his M.S. degree in mechanical engineering from Nanjing University of Technology. His research interests include dynamics of artillery automata, mechanical vibration and interval uncertainty theory.
Rights and permissions
About this article
Cite this article
He, F., Dai, J., Lin, S. et al. Analysis of the muzzle dynamic response interval based on the bond space method. J Mech Sci Technol 37, 5003–5014 (2023). https://doi.org/10.1007/s12206-023-0907-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12206-023-0907-6