周舸,张善庆,莫卫红,孔令利,成亦飞

• 1:中国航空工业集团公司北京航空材料研究院

摘要(Abstract)：

利用人工神经网络技术研究了DD6合金表面贫Cr层厚度与真空热处理工艺参数之间的关系。建立了以热处理温度、保温时间、真空充气压力为输入变量的三层BP人工神经网络模型,预报了该合金不同工艺下表面贫Cr层的厚度。获得了DD6合金真空热处理过程中应予以规避的工艺区间。为了获得期望的预测结果,对神经网络模型的数据库、隐含层和神经元个数、运算函数进行了优化。预测结果表明:该模型的多元线性相关系数0.9996,网络预测值与样本值相似度较高。采用该方法能够较为准确的预测DD6合金不同真空热处理工艺下的表面贫Cr层厚度。

关键词(KeyWords)： DD6合金;BP人工神经网络模型;表面贫化;真空热处理

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 周舸,张善庆,莫卫红,孔令利,成亦飞

DOI: 10.13289/j.issn.1009-6264.2015.12.043

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