摘要
用神经网络的分析方法,对超音速电弧喷涂钛-铝合金涂层制备的工艺过程进行分析,建立了喷涂电压、距离与涂层孔隙率、硬度和耐磨性之间的非线性映射关系,对不同的工艺参数,网络可以给出较为准确的预测值,证实了将人工神经网络模型应用于电弧喷涂钛-铝合金涂层质量预测和工艺优化是可行的和有效的。
Artificial neural network (ANN) technology for the processing of ultrasonic arc sprayed coatings is proposed. A metabolism model for predicting the qualities such as porosity, micro-hardness and slide-wear resistance of Ti-Al alloy coating with ANN is presented, which only needs the spray parameters. It is proved that the ANN technology is applicable for evaluating the coating qualities of ultrasonic arc sprayed Ti-Al alloy coating.
出处
《机械工程材料》
CAS
CSCD
北大核心
2003年第7期22-24,34,共4页
Materials For Mechanical Engineering
