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Research on simulation of gun muzzle flow field empowered by artificial intelligence
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作者 Mengdi Zhou linfang qian +3 位作者 Congyong Cao Guangsong Chen Jin Kong Ming-hao Tong 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第2期196-208,共13页
Artificial intelligence technology is introduced into the simulation of muzzle flow field to improve its simulation efficiency in this paper.A data-physical fusion driven framework is proposed.First,the known flow fie... Artificial intelligence technology is introduced into the simulation of muzzle flow field to improve its simulation efficiency in this paper.A data-physical fusion driven framework is proposed.First,the known flow field data is used to initialize the model parameters,so that the parameters to be trained are close to the optimal value.Then physical prior knowledge is introduced into the training process so that the prediction results not only meet the known flow field information but also meet the physical conservation laws.Through two examples,it is proved that the model under the fusion driven framework can solve the strongly nonlinear flow field problems,and has stronger generalization and expansion.The proposed model is used to solve a muzzle flow field,and the safety clearance behind the barrel side is divided.It is pointed out that the shape of the safety clearance under different launch speeds is roughly the same,and the pressure disturbance in the area within 9.2 m behind the muzzle section exceeds the safety threshold,which is a dangerous area.Comparison with the CFD results shows that the calculation efficiency of the proposed model is greatly improved under the condition of the same calculation accuracy.The proposed model can quickly and accurately simulate the muzzle flow field under various launch conditions. 展开更多
关键词 Muzzle flow field Artificial intelligence Deep learning Data-physical fusion driven Shock wave
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A novel multi-resolution network for the open-circuit faults diagnosis of automatic ramming drive system
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作者 Liuxuan Wei linfang qian +3 位作者 Manyi Wang Minghao Tong Yilin Jiang Ming Li 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第4期225-237,共13页
The open-circuit fault is one of the most common faults of the automatic ramming drive system(ARDS),and it can be categorized into the open-phase faults of Permanent Magnet Synchronous Motor(PMSM)and the open-circuit ... The open-circuit fault is one of the most common faults of the automatic ramming drive system(ARDS),and it can be categorized into the open-phase faults of Permanent Magnet Synchronous Motor(PMSM)and the open-circuit faults of Voltage Source Inverter(VSI). The stator current serves as a common indicator for detecting open-circuit faults. Due to the identical changes of the stator current between the open-phase faults in the PMSM and failures of double switches within the same leg of the VSI, this paper utilizes the zero-sequence voltage component as an additional diagnostic criterion to differentiate them.Considering the variable conditions and substantial noise of the ARDS, a novel Multi-resolution Network(Mr Net) is proposed, which can extract multi-resolution perceptual information and enhance robustness to the noise. Meanwhile, a feature weighted layer is introduced to allocate higher weights to characteristics situated near the feature frequency. Both simulation and experiment results validate that the proposed fault diagnosis method can diagnose 25 types of open-circuit faults and achieve more than98.28% diagnostic accuracy. In addition, the experiment results also demonstrate that Mr Net has the capability of diagnosing the fault types accurately under the interference of noise signals(Laplace noise and Gaussian noise). 展开更多
关键词 Fault diagnosis Deep learning Multi-scale convolution Open-circuit Convolutional neural network
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Uncertainty quantification of mechanism motion based on coupled mechanism—motor dynamic model for ammunition delivery system
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作者 Jinsong Tang linfang qian +3 位作者 Longmiao Chen Guangsong Chen Mingming Wang Guangzu Zhou 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第3期125-133,共9页
In this paper,a dynamic modeling method of motor driven electromechanical system is presented,and the uncertainty quantification of mechanism motion is investigated based on this method.The main contribution is to pro... In this paper,a dynamic modeling method of motor driven electromechanical system is presented,and the uncertainty quantification of mechanism motion is investigated based on this method.The main contribution is to propose a novel mechanism-motor coupling dynamic modeling method,in which the relationship between mechanism motion and motor rotation is established according to the geometric coordination of the system.The advantages of this include establishing intuitive coupling between the mechanism and motor,facilitating the discussion for the influence of both mechanical and electrical parameters on the mechanism,and enabling dynamic simulation with controller to take the randomness of the electric load into account.Dynamic simulation considering feedback control of ammunition delivery system is carried out,and the feasibility of the model is verified experimentally.Based on probability density evolution theory,we comprehensively discuss the effects of system parameters on mechanism motion from the perspective of uncertainty quantization.Our work can not only provide guidance for engineering design of ammunition delivery mechanism,but also provide theoretical support for modeling and uncertainty quantification research of mechatronics system. 展开更多
关键词 Ammunition delivery system Electromechanical coupling dynamics Uncertainty quantification Generalized probability density evolution
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High-dimensional uncertainty quantification of projectile motion in the barrel of a truck-mounted howitzer based on probability density evolution method
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作者 Mingming Wang linfang qian +3 位作者 Guangsong Chen Tong Lin Junfei Shi Shijie Zhou 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第2期209-221,共13页
This paper proposed an efficient research method for high-dimensional uncertainty quantification of projectile motion in the barrel of a truck-mounted howitzer.Firstly,the dynamic model of projectile motion is establi... This paper proposed an efficient research method for high-dimensional uncertainty quantification of projectile motion in the barrel of a truck-mounted howitzer.Firstly,the dynamic model of projectile motion is established considering the flexible deformation of the barrel and the interaction between the projectile and the barrel.Subsequently,the accuracy of the dynamic model is verified based on the external ballistic projectile attitude test platform.Furthermore,the probability density evolution method(PDEM)is developed to high-dimensional uncertainty quantification of projectile motion.The engineering example highlights the results of the proposed method are consistent with the results obtained by the Monte Carlo Simulation(MCS).Finally,the influence of parameter uncertainty on the projectile disturbance at muzzle under different working conditions is analyzed.The results show that the disturbance of the pitch angular,pitch angular velocity and pitch angular of velocity decreases with the increase of launching angle,and the random parameter ranges of both the projectile and coupling model have similar influence on the disturbance of projectile angular motion at muzzle. 展开更多
关键词 Truck-mounted howitzer Projectile motion Uncertainty quantification Probability density evolution method
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General design principle of artillery for firing accuracy
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作者 linfang qian Guangsong Chen +1 位作者 Minghao Tong Jinsong Tang 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2022年第12期2125-2140,共16页
In this paper,based on the topological description method,the kinematic and dynamic equations of the projectile flight and projectile-artillery coupling system during the whole process of firing are constructed.The fa... In this paper,based on the topological description method,the kinematic and dynamic equations of the projectile flight and projectile-artillery coupling system during the whole process of firing are constructed.The factors that can affect the projectile burst points,namely the state parameters of the projectile on the muzzle and state parameters of the barrel muzzle,as well as the factors that affect the barrel muzzle state parameters,are analyzed.On this basis,the design principle of artillery firing accuracy is proposed.The error analysis and the corresponding inverse problem,the extraction method of key parameters affecting artillery implicated motion,the conformal and control method of rotating band are analyzed and presented.Finally,the presented method is verified through a vehicle mounted howitzer case,and the muzzle state parameter interval is obtained meeting the given firing accuracy.In addition,the sensitivity analysis of artillery parameters shows that the less the correlation between the parameters and the barrel,the less the influence on the projectile implicated motion.The analysis of the coupling effect between rifling and the rotating band shows that the uniform rifling is the optimal form for the conformal of the rotating band during firing. 展开更多
关键词 Firing accuracy Projectile-artillery coupling Rotating band conformal Sensitivity analysis Error control
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薄壁弹药机械臂的柔性动力学建模与辨识研究
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作者 汤劲松 钱林方 +3 位作者 马佳 陈龙淼 陈光宋 董帅 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2024年第1期226-239,共14页
薄壁结构是机械设计中常用的结构形式,其柔性动力学问题一直是工程研究的前沿。针对具有薄壁结构特性的弹药机械臂,发展了一种基于板壳理论的弹药机械臂柔性多体动力学建模方法.我们在浮动参考坐标框架下,得到了Reissner-Mindlin壳结构... 薄壁结构是机械设计中常用的结构形式,其柔性动力学问题一直是工程研究的前沿。针对具有薄壁结构特性的弹药机械臂,发展了一种基于板壳理论的弹药机械臂柔性多体动力学建模方法.我们在浮动参考坐标框架下,得到了Reissner-Mindlin壳结构的运动学方程,其中结构膜变形和弯曲变形与刚性运动的耦合,这是区别于实体结构的特点。为了克服壳体单元模拟中的膜锁定和剪切锁定问题,引入一种基于边中心的应变平滑DSG(ECSS-DSG)单元对结构离散.该方法可以获得更好的膜变形和弯曲变形行为,并且有效克服剪切自锁问题,在结构模态分析中表现出更好的效果.在此基础上,结合实验对弹药机械臂模型参数进行了辨识,并且对辨识模型在各种工况下的动态响应进行了验证,证明了本文方法具有良好的鲁棒性.本文的工作不仅可以为弹药机械臂的进一步研究提供理论支撑,而且可以为薄壁结构多体系统的动力学研究提供参考. 展开更多
关键词 机械臂 实体结构 柔性动力学 柔性多体动力学 薄壁结构 多体系统 板壳理论 弯曲变形
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基于Kriging-HDMR的不确定性问题迭代区间分析方法
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作者 吉磊 陈光宋 +2 位作者 钱林方 马佳 汤劲松 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2022年第7期164-176,I0004,共14页
对于区间方面的不确定性问题越来越受到重视.然而,区间方法中准确性和效率之间的矛盾始终存在.本文提出了一种基于Kriging-HDMR的迭代区间分析方法(IIAMKH),用以获得考虑区间变量的不确定性问题的上下界.首先,利用Kriging-HDMR方法建立... 对于区间方面的不确定性问题越来越受到重视.然而,区间方法中准确性和效率之间的矛盾始终存在.本文提出了一种基于Kriging-HDMR的迭代区间分析方法(IIAMKH),用以获得考虑区间变量的不确定性问题的上下界.首先,利用Kriging-HDMR方法建立响应函数的代理模型.然后,应用遗传算法和序列二次规划(GA&SQP)混合的优化方法,搜索代理模型的最小/最大值,从而得到相应的不确定参数.通过将不确定参数代入响应函数,我们可以获得预测的区间.最后,方法中加入了一个迭代过程来提高精度和稳定性.通过几个数值算例验证了本方法的有效性.仿真结果表明,所提出的IIAMKH算法可以在较少样本的情况下获得更精确的结果. 展开更多
关键词 不确定性问题 响应函数 不确定参数 区间分析方法 序列二次规划 代理模型 遗传算法 区间变量
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Numerical integration of rotation with geometry propagators
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作者 Jianhua Tang linfang qian qiang Yin 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2016年第3期150-170,共21页
Commutator free method is an effective method for solving rotating integration.Numerical examples show that the use of the proposed combining method can achieve the same order accuracy with less computation than other... Commutator free method is an effective method for solving rotating integration.Numerical examples show that the use of the proposed combining method can achieve the same order accuracy with less computation than other geometry integration method.However,it is difficult to be directly applied to mechanic dynamics solutions.In this paper,commutator free method which is often applied to rotation integration and classical Runge–Kutta(RK)method which is usually operated in Linear space are combined to solve the multi-body dynamic equations.The explicit Runge–Kutta coefficients are reconstructed to meet different order accuracy integration methods.The reconstruction method is discussed and coefficients are given.With this method,the dynamic equations can be solved accurately and economically without much modification on the classical numerical integration.Moreover,CG method and CF method can also be combined with adaptive RK method without many changes.Finally,the results of the examples show that with less computation,fourth-order combining method is as accurate as fourth-order Crouch–Grossman algorithm. 展开更多
关键词 Runge-Kutta method geometry propagators commutator free method
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