基于BP神经网络的Ni-Si_3N_4复合镀层工艺-性能模型预测  

Model Prediction of Processing-Property of Ni-Si_3N_4 Composite Coatings Based on Artificial Neural Network

作　　者：魏汉军[1] 孙万昌[1] 侯冠群[1] 赵坤[1] 张峰[1] 石琴[1] 

机构地区：[1]西安科技大学材料科学与工程学院,西安710054

出　　处：《人工晶体学报》2014年第9期2377-2383,共7页Journal of Synthetic Crystals

基　　金：国家自然科学基金(50172023);2012年榆林市产学研合作项目;2012年国家级大学生创新训练计划项目(201210704058);2013年陕西省大学生创新训练计划项目(1151)

摘　　要：在正交试验的基础上,运用BP神经网络优化脉冲电沉积工艺制备高颗粒含量的Ni-Si3N4复合镀层;并对NiSi3N4复合镀层的微观结构以及高温抗氧化性能进行了表征分析。结果表明,运用BP神经网络优化的最佳工艺条件:颗粒悬浮量为40 g/L,镀液温度为45℃,转速为300 r/min,占空比为60%;该模型所得预测值与试验值曲线吻合较好,其相对误差较小,最大误差不超过3%,相关系数为0.99932。采用该优化工艺制备的Ni-Si3N4复合镀层中Si3N4微粒弥散分布于Ni基质层内部,镀层与基体之间无孔隙、裂纹等缺陷,具有优异的高温抗氧化性能。On the basis of orthogonal experiment,the pulse electrodeposition process of Ni-Si3N4 composite coating with higher particles content on aluminum alloy substrate prepared by pulse electrodeposition process was optimized through BP neural network.The microstructure and oxidation resistance at high temperature of Ni-Si3N4 composite coatings were characterized and analyzed.The results show that the optimal electrodeposition conditions are determined as follows： the concentration of Si3N4 particles is 40 g /L; the bath temperature is 45 ℃; the stirring rate is 300 r /min and the duty clycle is 60%.The predicted data agree well with the experimental values; the relative error is small; the max error is less than 3% and the correlation coefficient is 0.99932.The composite coating deposited by the optimal synthetic condition shows dispersed Si3N4 particles and continuous Ni matrix,and there are no pores and cracks and other defects at the interface between the composite coating and the substrate.Also,the composite coating presents an excellent oxidation resistance.

关 键 词：脉冲电沉积 Ni-Si3N4复合镀层 BP神经网络 高温抗氧化涂层 

分 类 号：TG174.4[金属学及工艺—金属表面处理] TQ153.2[金属学及工艺—金属学]