航空材料学报2025，Vol.45Issue(3)：85-104,20.DOI:10.11868/j.issn.1005-5053.2024.000059
机器学习技术在航空材料领域的应用
Application of machine learning technology in field of aviation materials
摘要
Abstract
The machine learning technology has broad prospects in the field of aerospace materials and plays an important role in material selection,design,and optimization.Firstly,a brief discussion was made on the advantages and potential of machine learning technology in the aerospace field,outlining the technological developments,algorithm categories,features,and limitations.The conventional or potential applications of machine learning in scientific exploration,especially in complex material data formats,are introduced.Secondly,the research status of machine learning in aviation materials is mainly focused on,discussing the recent progress in utilizing machine learning to assist in the research of high-temperature alloy materials,high-strength structural materials,thermal protection coating materials,as well as functional and smart materials.The strategies and methods of machine learning-driven aviation material research are elucidated.Finally,the challenges encountered in machine learning-assisted aerospace material research and development are examined.Facilitating the transformation of aerospace material research towards the fourth paradigm of data-driven materials science necessitates efforts in promoting the open sharing of data resources,integrating domain knowledge and physical laws more deeply into machine learning models,and ensuring feature consistency across different data types.关键词
机器学习/航空材料/高温合金/热障涂层/结构与性能预测Key words
machine learning/aviation materials/superalloys/thermal barrier coatings/structure and performance prediction引用本文复制引用
何玄,宋鹏,孔德昊,黄太红,李青..机器学习技术在航空材料领域的应用[J].航空材料学报,2025,45(3):85-104,20.基金项目
国家自然科学基金(52071168) （52071168）
云南省重点研发计划(202303AP140016) （202303AP140016）
云南省重大科技专项(202202AB080011) （202202AB080011）
