铜铝层状复合材料原子尺度研究进展
Research progress on atomic scale of copper-aluminum layered composites
张辉 1王爱琴 2潘爱琼 2谢敬佩3
作者信息
- 1. 河南科技大学材料科学与工程学院,河南洛阳 471023;郑州科技学院机械工程学院,河南郑州 450064
- 2. 河南科技大学材料科学与工程学院,河南洛阳 471023
- 3. 有色金属新材料与先进加工技术省部共建创新中心,河南洛阳 471023
- 折叠
摘要
Cu/Al层状复合材料因其极高的性价协同效应而得到越来越广泛的应用.然而不同工艺方法制备的Cu/Al复合材料的界面结构、铜层和铝层微结构存在差异,力学性能高低不同.界面结合特性的不同导致在深加工过程中容易出现错层、分层、铜层表面撕裂等宏观质量问题,严重制约了其在高端领域的应用.本文介绍了铜铝层状复合材料原子尺度的研究现状,综述了利用分子动力学对铜铝层状复合材料界面层结构、扩散与凝固、异质界面特性与力学性能的关联性等的模拟研究进展,分析了不同势函数在铜铝层状复合材料分子动力学模拟中的优劣,提出了精准的模型、合理的力场、精确的参数是材料原子尺度模拟的三个基本准则,对金属层状复合材料原子尺度的研究提供了参考.
Abstract
Cu/Al laminated composites are more and more widely used because of their high cost-effective syn-ergistic effect.However,the interface structure,microstructure of copper layer and aluminum layer of Cu/Al composites prepared by different process methods are different,and the mechanical properties are different.The difference in interface bonding characteristics leads to macroscopic quality problems such as dislocation,delamination,and copper layer surface tearing during deep processing,which seriously restricts its application in high-end fields.In this paper,the research status of atomic scale of copper-aluminum laminated composites is introduced.The research progress of molecular dynamics simulation on the interface layer structure,diffusion and solidification,the correlation between heterogeneous interface characteristics and mechanical properties of copper-aluminum laminated composites is reviewed.The advantages and disadvantages of different potential functions in molecular dynamics simulation of copper-aluminum laminated composites are analyzed.It is pro-posed that accurate model,reasonable force field and accurate parameters are the three basic criteria for material atomic scale simulation,which provides a reference for the study of atomic scale of metal laminated composites.
关键词
铜铝层状复合材料/分子动力学/原子尺度/界面/势函数Key words
copper and aluminum laminated composite material/molecular dynamic/atomic scale/interface/potential function引用本文复制引用
出版年
2024
NETL
NSTL
万方数据