摘要
对添加有稀土元素Ho的AZ31镁合金进行抗腐蚀性能测试,同时利用神经网络预测模型,研究不同Ho含量对AZ31镁合金抗腐蚀性能的影响。结果表明,ZA31镁合金腐蚀速度的神经网络预测值与实验值的相对误差在±5%以内,所建立抗腐蚀性能神经网络预测模型的预测精度较高。
The corrosion resistance of AZ31 magnesium alloy with Ho were tested, and the effect of Ho contents on the corrosion resistance of AZ31 magnesium alloy were studied by neural network model. The results show that the relative error between the predicted values and experimental values are ＋5%, and the prediction accuracy of the neural network model is higher.
出处
《铸造技术》
CAS
北大核心
2014年第6期1141-1143,共3页
Foundry Technology
关键词
AZ31镁合金
稀土Ho
抗腐蚀性能
神经网络
AZ31 magnesium alloy
rare earth Ho element
corrosion resistance
neural network
