Optimizing the Formation of Hollow Annular Shaped Charges Through a Novel Charge Compensation Method: External Experiment Validation, Simulation, and Predictive Model

Abstract

The design optimization of Annular Shaped Charge (ASC) represents a highly complex and nonlinear problem. Traditional ASC optimization predominantly focuses on the liner structure and relies on empirical methods, while design optimization concerning annular charges remains scarce. This is because even slight variations in the charge can lead to significant changes in the morphology of the annular penetrator. To address this issue, this study proposes a predictive model for Optimal Charge Compensation Amount (OCCA) of Hollow Annular Shaped Charge (HASC) by integrating the Finite Element Method with a Multilayer Perceptron (FEM-MLP). To enhance the efficiency and accuracy of the MLP model's predictions, we first identified the influencing factors on the formation morphology of the annular jet through dimensional analysis and theoretical calculations. This allowed us to screen four input parameters for the MLP model. After arranging and combining these parameters and fitting curves, 1431 data points were generated to train and test the MLP. The trained MLP was then employed to predict the OCCA for both random and experimental structures. The numerical simulation results demonstrated the high accuracy and excellent generalization capability of the predictive model. The charge compensation method boasts broad applicability, enabling equivalent validation for similar HASC structures. Ultimately, the annular jet optimized through the charge compensation method exhibits no deviation and experiences a delayed fracture time, thereby offering valuable design insights for annular jet penetration into targets.