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Analysis of the muzzle dynamic response interval based on the bond space method
Fu He,Jinsong Dai,Shengye Lin,Maosen Wang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.10
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 smallcaliber 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.
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Tian Tan,Jinsong Dai,Shengye Lin,Yongjie Cao,Maosen Wang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.6
Cabin opening attitude of prefabricated fragment projectiles has a great impact on target damage probability. To address this issue, this study proposed a method for calculating damage probability based on gridding the target, which can estimate target damage probability under different cabin opening attitudes of projectile. To obtain the optimal cabin opening attitude of the projectile, an improved PSO algorithm named S-ACPSO was proposed, which has adaptive adjustment ability predicated on the sigmoid function and the particle diversity. To verify this method, a UAV target example was analyzed. The numerical result showed that the maximum target damage probability was 0.6847 under the optimal attitude. Following this, the influence of attitude parameters on the target damage probability was analyzed, which showed that the method in this study was feasible.
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