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March 10, 2026FirePhysChem0 citationsOpen Access

Investigation of the Influence of Internal Ballistic Energy Release Characteristics on Artillery Vibration Through Experiments and Simulations

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CYChunhui YueLWLun WeiDYDehua Yang

Key Points

  • This research seeks to understand how the characteristics of energy release in propellant charges affect artillery vibrations.
  • Conducted vibration experiments and numerical simulations of artillery systems.
  • Analyzed the energy release characteristics during internal and intermediate ballistic processes.
  • Examined the correlation between the chamber pressure-location-time curve and recoil system dynamics.
  • Charge ② reduced overall firing vibration by 44.8% compared to Charge ①.
  • Breech vibration decreased by 65.23% and muzzle vibration by 24.45%.
  • Simulation results closely matched experimental data, confirming model reliability.

Abstract

The design and application of low-vibration propellant charges represent a key approach to enhance artillery system performance, with its core mechanism lying in suppressing harmful vibrations at their source by regulating the energy release process. In this paper vibration experiments have been integrated with numerical simulations to systematically analyze the impact of energy release characteristics of the propellant charge within internal and intermediate ballistic processes on artillery vibration. Results indicate that compared to Charge ①, Charge ② reduces the overall firing vibration across the entire trajectory (0–167 ms) by 44.8%, with significant decreases of 65.23% and 24.45% in breech and muzzle vibration, respectively. Simulation analysis further reveals that the chamber pressure-location-time (P-L-t) curve and its matching relationship with the recoil system are the primary factors influencing vibration. The parameter Pm/tm exhibits a bowl-shaped distribution with vibration response. Ultimately, the overall vibration simulation results for the internal and intermediate ballistic phases show good agreement with the experimental data, validating the reliability of the established model.

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Cite This Study

Yue et al. (2026) studied this question.

synapsesocial.com/papers/69af950a70916d39fea4c40dhttps://doi.org/10.1016/j.fpc.2026.03.004
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