Influence of different protective gaskets on Fuze cushioning performance in the process of penetration

Junwei Peng; Changsheng Li; Yingzhong Zhang

doi:10.1117/12.2680865

23 May 2023 Influence of different protective gaskets on Fuze cushioning performance in the process of penetration

Junwei Peng, Changsheng Li, Yingzhong Zhang

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126454T (2023) https://doi.org/10.1117/12.2680865
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

In this thesis, LS-DYNA and other software, for the problem that the fuze cannot work normally owing to the high overload between the missile fuze systems in the process of high-speed penetration, are used to carry out the numerical simulation of the penetration process under different protection modes, and it is obtained on the dynamic response between the missile fuze systems during penetrating. Through the analysis of fuze protection with different cushion gaskets, it is found that the overload of the circuit board is obviously greater than that of the projectile during penetrating, with the more complex vibration. It is better in the protective effect of foam aluminum gasket on fuze than that of rubber gasket, and using foam aluminum gasket can better filter out the influence of missile body natural frequency on fuze ground. While in the aspect of layer counting and initiation, with foam aluminum gasket used for protection, the fuze, owing to the gap between the fuze and the projectile body, collides with the projectile body, which has a huge impact on the layer counting, that is, rubber protection is better in the aspect of multi-layer initiation.

Citation Download Citation

Junwei Peng, Changsheng Li, and Yingzhong Zhang "Influence of different protective gaskets on Fuze cushioning performance in the process of penetration", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126454T (23 May 2023); https://doi.org/10.1117/12.2680865

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