橡胶老化性能的神经网络研究方法

Neural network research method of rubber aging properties

运用神经网络方法,建立了预测橡胶老化性能的计算模型。运用该模型计算了“O”型橡胶密封圈在不同时间下的老化性能,并与实验结果进行了比较。结果表明,该模型精度较高,在固体火箭发动机研究方面具有较好的工程应用价值。

The calculation model for predicting rubber aging properties was derived by means of neural network method. By using this model, the aging properties of O type rubber sealing ring at different time was calculated and compared with the experiment results. The results show that the model with high precision will find promising engineering application in research of solid rocket motors.