Cu-Al-Mn合金显微结构、相变及力学性能
收藏资源简介:
超弹性合金应用于航空航天,船舶桥梁等领域能够有效地提升结构安全性和器件使用寿命,因为其在受到外部应力作用时能够发生热弹性马氏体相变从而吸收和转化这些外部能量,从而保护内部的器件不受外力的影响。Cu基(如Cu-Al系和Cu-Zn系)超弹性合金(SEAs)由于具有阻尼性能良好,价格低廉(只有Ni-Ti合金的1/10)、导电和导热性能良好、相变温度可调范围宽等诸多优点而具有广泛的应用领域。然而Cu基SEAs的马氏体相变具有很大的取向依赖性和晶界处应力集中,造成不同取向晶粒间形变和相变极不协调,导致合金的性能变差。因此本课题致力于通过探究晶界定向迁移和晶粒选择性长大机制阐明晶粒尺寸和取向对合金中热弹性马氏体相变和逆相变的影响以此为Cu基SEAs超弹性能提供有效的优化措施。本课题以多种成分的Cu基SEAs为研究对象,主要记录了Cu-Al-Mn基合金经过定向再结晶和时效处理等的晶粒尺寸和形态,晶体取向和晶界特征,纳米相特征和循环加载卸载曲线等观测值,阐明了合金晶界定向迁移和晶粒选择性长大机制,建立了再结晶晶粒生长元胞自动机模型。基于这些机制机理,开发了单晶或定向化组织变形诱导相变行为及超弹性的优化技术。数据量109MB。
Superelastic alloys (SEAs) applied in aerospace, ships, bridges and other fields can effectively improve structural safety and device service life, as they can undergo thermoelastic martensitic transformation when subjected to external stress, thereby absorbing and dissipating external energy to protect internal devices from external forces. Cu-based SEAs (such as Cu-Al system and Cu-Zn system) have broad application prospects due to their multiple advantages including excellent damping properties, low cost (only 1/10 of that of Ni-Ti alloys), good electrical and thermal conductivity, and wide adjustable range of phase transformation temperature. However, the martensitic transformation of Cu-based SEAs exhibits strong orientation dependence and severe stress concentration at grain boundaries, which leads to extremely poor coordination between deformation and phase transformation among grains with different orientations, thus deteriorating the overall performance of the alloy. Therefore, this study aims to clarify the effects of grain size and orientation on thermoelastic martensitic transformation and reverse transformation in the alloy by investigating the mechanisms of directional grain boundary migration and selective grain growth, so as to provide effective optimization strategies for improving the superelastic performance of Cu-based SEAs. This study takes Cu-based SEAs with various compositions as the research object, mainly documenting the measured data including grain size and morphology, crystal orientation and grain boundary characteristics, nanoparticle phase features, and cyclic loading-unloading curves of Cu-Al-Mn based alloys after treatments such as directional recrystallization and aging. It clarifies the mechanisms of directional grain boundary migration and selective grain growth of the alloy, and establishes a cellular automaton model for recrystallized grain growth. Based on these mechanisms, optimization techniques for deformation-induced phase transformation behavior and superelastic performance of single-crystal or oriented microstructures have been developed. The total size of this dataset is 109 MB.




