Study On Optimization Method Of Structural Parameter Matching Of Shaped Charge With Truncated Cone Partition

The shaped charge warhead,as an effective killing force to destroy armored targets on the battlefield,has been highly valued by weapon designers all over the world.At present,in order to improve the damage power of shaped charge,most countries focus on the change of charge structure and the development of new damage materials.In charge structure,partition or multiple initiation methods are added to enhance the work ability of explosive to the liner,so as to improve the utilization rate of liner;in new damage materials,energetic materials,including explosive and combustion energetic fragments and active jet,are used to carry out secondary damage,such as explosion and combustion,while penetrating the target,which greatly improves the killing power.In this paper,the optimization method of structural parameter matching between truncated conical baffles and shaped charge is studied.Because of the high cost of the real-time test,this paper studies the matching relationship between the truncated cone diaphragm and the shaped charge by the method of theoretical analysis,engineering calculation and numerical simulation.Firstly,based on the theory of shaped charge,the preliminary design of shaped charge with truncated cone partition is carried out,and the reliability of the model is verified by simulation.Using the grey correlation theory,the importance of diaphragm parameters on jet performance is studied,and the main factors are selected to analyze the impact on metal jet performance.Then,the machine learning algorithm is used to optimize the shaped charge,find the best matching relationship between the liner and diaphragm structure,and carry out simulation verification.Finally,the rapid modeling method of the finite element model of the shaped charge is discussed to realize the parametric modeling process and improve the design efficiency of the shaped charge.The main work of this paper is as follows:(1)This paper expounds the background and significance of the research on the matching technology of the partition plate and the shaped charge,analyzes and summarizes the previous research results on the shaped charge warhead with the partition plate,introduces the application of new technologies such as artificial intelligence and machine learning in weapons,which paves the way for the following analysis and optimization of the shaped charge structure by using the machine learning algorithm.(2)In this paper,the basic theory of shaped charge and the theory of detonation wave propagation in shaped charge with baffle are briefly introduced.Based on the theory of shaped charge,the structural parameters of truncated conical baffle and shaped charge are designed preliminarily.The simulation experiment of the designed shaped charge structure is carried out,and the simulation results are compared with the engineering calculation to verify the correctness of the simulation model.(3)The importance of the diaphragm diameter,height,angle of the diaphragm and the height of the top powder on the jet performance is analyzed by using the grey correlation theory.According to the analysis results,the order of importance of the diaphragm parameters is: diaphragm diameter > top coating height > diaphragm height > diaphragm frustum angle.Two main factors,the diameter of the baffle and the height of the top charge,are taken to analyze their influence on the jet performance.The structural parameters of the baffle and the shaped charge are non-linear fitted by using the 1stOpt software.The functional relationship between the jet performance and the parameters of the baffle and the charge structure is obtained,and the mathematical model is established.After error analysis,the fitting accuracy of the formula is high.(4)The genetic algorithm and support vector machine algorithm are introduced in the study of the optimization of shaped charge with truncated cone partition by machine learning.Since the parameter penalty factor C,kernel function parameter γ and distance error epsilon in SVM algorithm have great influence on the calculation results,genetic algorithm is used to optimize the parameters of SVM,and then the improved SVM algorithm is used to predict the jet head speed.The maximum predicted jet head speed is used as the fitness function to predict the diaphragm structure parameters And the structural parameters of the charge are optimized to find out the optimal structural parameters.(5)Because a lot of simulation work is needed to collect data for data processing and analysis,this chapter explores the rapid modeling technology by using truegrid software based on the designed truncated cone shaped partition shaped charge structure,so as to facilitate the rapid establishment of the finite element model of shaped charge and improve the design efficiency.