单晶合金与防护涂层智能设计进展  

Advances in intelligent design of single crystal superalloys and protective coatings

作　　者：邢艺锋 尹奥博 耿粒伦 杨帆 茹毅 赵文月 裴延玲[1] 李树索[3] 宫声凯[1,2] XING Yifeng;YIN Aobo;GENG Lilun;YANG Fan;RU Yi;ZHAO Wenyue;PEI Yanling;LI Shusuo;GONG Shengkai(School of Materials Science and Engineering,Beihang University,Beijing 100191,China;Tianmushan Laboratory,Hangzhou 311115,China;Research Institute of Aero-Engine,Beihang University,Beijing 100191,China)

机构地区：[1]北京航空航天大学材料科学与工程学院,北京100191 [2]天目山实验室,杭州311115 [3]北京航空航天大学航空发动机研究院,北京100191

出　　处：《航空材料学报》2024年第5期70-85,共16页Journal of Aeronautical Materials

基　　金：国家自然科学基金(92360302)。

摘　　要：随着航空发动机涡轮前温度的不断提升,研发新一代航空发动机涡轮叶片用单晶高温合金及其热防护涂层迫在眉睫。为了满足航空发动机复杂的服役环境对高温结构材料综合性能提出的严苛要求,在材料集成计算工程与材料信息学的推动下,近年来国内外逐步开展了单晶高温合金与热防护涂层的智能设计研究,以提高研发效率、降低研发成本。本文重点综述多尺度计算模拟与机器学习方法在推动新型单晶高温合金与热防护涂层设计上的最新研究进展,确证了多尺度计算模拟为揭示单晶高温合金强韧化机理与热防护涂层抗氧化、阻扩散机制所提供的有效理论支撑,展现机器学习在构建高温结构材料“成分-组织-性能”内禀关系上的可靠性与巨大潜力,为新一代高承温单晶高温合金与热防护涂层提供了智能高效的快速研发新路径。As the turbine inlet temperatures of aero engines continue to rise,there is an urgent need to develop a new generation of single-crystal superalloys and their thermal protective coatings for turbine blades.In order to meet the stringent requirements for the comprehensive performance of high-temperature structural materials in the complex service environments of aero engines,the intelligent design research of single crystal superalloys and thermal protection coatings has been gradually carried out at home and abroad in recent years under the promotion of material integrated computational engineering and material informatics.This paper reviews the latest research progress in the design of novel single-crystal superalloys and thermal protective coatings by utilizing multi-scale computational simulations and machine learning methods.The findings confirm that multi-scale computational simulations offer robust theoretical support for understanding the strengthening and toughening mechanisms of single-crystal superalloys,as well as the oxidation resistance and diffusion protective mechanisms of thermal protective coatings.Additionally,the study highlights the reliability and significant potential of machine learning in constructing intrinsic"composition-structureproperty"relationship for high-temperature structural materials.This approach paves an intelligent and efficient new pathway for the rapid development of next-generation high-temperature single-crystal superalloys and thermal protective coatings.

关 键 词：计算模拟 智能设计 镍基单晶高温合金 防护涂层 

分 类 号：V252[一般工业技术—材料科学与工程] TG132.32[航空宇航科学与技术—航空宇航制造工程]