Monte Carlo-based simulation study on the firing performance of mortar projectiles trigger mechanism

Mengjie Shi; Rongchang Song; Haibin Cui; Hongshe Li; Guanglin He; Yanan Du

doi:10.1117/12.2658704

23 November 2022 Monte Carlo-based simulation study on the firing performance of mortar projectiles trigger mechanism

Mengjie Shi, Rongchang Song, Haibin Cui, Hongshe Li, Guanglin He, Yanan Du

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124540K (2022) https://doi.org/10.1117/12.2658704
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

The mortar projectiles often land on the back of the hillside when fighting in mountainous areas. The projectile hits the target with a small landing angle, and there will be a phenomenon of rubbing the ground, resulting in a low hit rate. In this paper, a multi-rigid-body dynamics virtual prototype model is established for different targets struck by a different falling angle of the mortar projectile, the displacement and velocity data of the firing-pin and detonator as well as the incomplete firing results are obtained through simulation, the firing probability is evaluated by applying the Monte Carlo method, the contribution of the variables affecting the target value is obtained by applying the design of experiment (DOE), and the relevant parameters are optimized to realize fully fire when the parameters are in their new value range.

Citation Download Citation

Mengjie Shi, Rongchang Song, Haibin Cui, Hongshe Li, Guanglin He, and Yanan Du "Monte Carlo-based simulation study on the firing performance of mortar projectiles trigger mechanism", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124540K (23 November 2022); https://doi.org/10.1117/12.2658704

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