机器学习在铝基复合材料组分和工艺设计中的应用
Application of Machine Learning in Composition and Process Design of Aluminum Matrix Composites
杜晓双 1曲囡 1张学习 2刘勇 2朱景川2
作者信息
- 1. 哈尔滨工业大学材料科学与工程学院,黑龙江哈尔滨 150001
- 2. 哈尔滨工业大学材料科学与工程学院,黑龙江哈尔滨 150001;金属精密热加工国家级重点实验室,黑龙江哈尔滨 150001
- 折叠
摘要
铝基复合材料具有优异的力学性能,在航空、航天、国防、汽车等领域都得到一定的应用,机器学习在铝基复合材料组分和工艺设计中应用潜力巨大.首先介绍了机器学习的概念和常用算法,然后从性能预测、组分设计、工艺设计和材料体系与工艺一体化设计等4个方面详细论述了机器学习在铝基复合材料研发应用的进展,最后对机器学习在铝基复合材料领域未来的发展应用做了总结与展望.
Abstract
Aluminum matrix composites have excellent mechanical properties and have been applied in aviation,aerospace,na-tional defense,automobile and other fields.Machine learning has great potential in the composition and process design of alumi-num matrix composites.In this paper,the concept and common algorithms of machine learning are introduced,and then the ap-plication progress of machine learning in the research and development of aluminum matrix composites is discussed in detail from perspectives of performance prediction,component design,process design,and integrated design of material system and process.Finally,the future development and application of machine learning in the field of aluminum matrix composites are summarized and prospected.
关键词
机器学习/铝基复合材料/性能预测/组分设计/工艺设计Key words
machine learning/aluminum matrix composites/performance prediction/component design/process design引用本文复制引用
基金项目
国家重点研发计划项目(2022YFB3705701)
出版年
2024
NETL
NSTL
万方数据