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

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名International Symposium on Robotics, Artificial Intelligence, and Information Engineering, RAIIE 2022
编辑Johan Debayle
出版商SPIE
ISBN(电子版)9781510660137
DOI
出版状态已出版 - 2022
活动2022 International Symposium on Robotics, Artificial Intelligence, and Information Engineering, RAIIE 2022 - Hohhot, 中国
期限: 15 7月 202217 7月 2022

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
12454
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议2022 International Symposium on Robotics, Artificial Intelligence, and Information Engineering, RAIIE 2022
国家/地区中国
Hohhot
时期15/07/2217/07/22

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