宇航材料工艺2025，Vol.55Issue(2)：43-50,8.DOI:10.12044/j.issn.1007-2330.2025.02.006
考虑晶粒不均匀度的神经网络晶粒长大模型构建及应用
Construction and Application of Artificial Neural Network Based Grain Growth Model Considering Non-uniformity of Grains
摘要
Abstract
To further investigate the grain growth behavior of Inconel X-750 superalloy,artificial neural networks were employed in this work.The grain growth tests of Inconel X-750 superalloy were carried out to obtain the grain distributions under different holding temperatures and holding times,and the influences of the holding temperature and holding time on the size and non-uniformity of grains were investigated.The artificial neural network based grain growth model involving grain non-uniformity was constructed with the holding temperature and holding time as inputs,and average grain size and coefficient variation of grain size as outputs.The relationships between the grain size,grain non-uniformity,holding temperature and holding time under isothermal condition were established by predicting the grain sizes and grain non-uniformities in wide process parameter range using the constructed grain growth model.The results show that the neural network model for grain growth possesses high precision.关键词
晶粒长大/Inconel X-750高温合金/晶粒尺寸/不均匀度/人工神经网络Key words
Grain growth/Inconel X-750 superalloy/Grain size/Non-uniformity/Artificial neural network分类
金属材料引用本文复制引用
王赟,周智敏,童逸杰,吕航鹰..考虑晶粒不均匀度的神经网络晶粒长大模型构建及应用[J].宇航材料工艺,2025,55(2):43-50,8.基金项目
杭州市农业与社会发展科研一般项目(20201203B135) （20201203B135）
浙江省教育厅一般科研项目(Y202148060) （Y202148060）
