HTPB 推进剂装药工艺研究及力学性能预测

The manufacturing technology has a great influence on the mechanical properties of solid propellant of solid rocket motor during the molding process. Through the study of the charging process parameters and mechanical properties of 130 pots propellant，the fluctuation of the charging process parameters was determined. Based on the multiple linear regression analysis method，the key process parameters affecting the mechanical properties of the propellant were obtained. Taking the key process parameters as input，a BP neural network is set up and the mechanical properties of the propellant are predicted. The research results show that 16 parameters have different degrees of influence on mechanical properties of propellant，six key process parameters such as the curing parameters，mixing time，mixing temperature，vulcanizing time，relative humidity，mixing pressure and so on have significant effect on the mechanical properties of the propellant temperature. Based on the key process parameters and the corresponding mechanical properties of the propellant，the BP neural network was established to accurately predict the mechanical properties of the propellant. The average error of the maximum tensile strength was 4.08%，and the average error of the maximum elongation was 3.54%.