Skip to main content
Log in

Analysis of the muzzle dynamic response interval based on the bond space method

  • Original Article
  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

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

  1. 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).

    Google Scholar 

  2. 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.

    Article  MathSciNet  Google Scholar 

  3. 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).

    Google Scholar 

  4. 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).

    Google Scholar 

  5. 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.

    Article  Google Scholar 

  6. 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).

    Google Scholar 

  7. 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).

  8. 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).

    Google Scholar 

  9. 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).

    Google Scholar 

  10. 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).

  11. 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).

  12. 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.

  13. J. S. Dai, M. S. Wang and X. P. Su, Design Theory of Modern Artillery Automatics, National Defense Industry Press, Beijing (2018) (in Chinese).

    Google Scholar 

  14. 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).

  15. 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).

  16. 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).

  17. 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).

    Google Scholar 

  18. 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).

    Google Scholar 

  19. 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.

    Article  Google Scholar 

  20. 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.

    Article  Google Scholar 

  21. 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).

  22. 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.

    Article  Google Scholar 

  23. 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).

    Google Scholar 

  24. 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.

    Article  Google Scholar 

  25. 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).

  26. C. Jiang, Interval-based uncertainty optimization theory and algorithms, Ph.D. Dissertation, Hunan University (2008) (in Chinese).

  27. 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).

    Google Scholar 

  28. 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).

    Google Scholar 

  29. 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).

  30. 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).

  31. 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).

Download references

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

Authors

Corresponding author

Correspondence to Jinsong Dai.

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

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

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

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-023-0907-6

Keywords

Navigation