Thermodynamic modeling and experimental investigation of glass-forming magnesium alloys

玻璃形成镁合金的热力学建模和实验研究

• 批准号: 261704-2008
• 负责人: Medraj, Mamoun
• 金额: $ 1.61万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=479963
• 关键词: Thermodynamic; modeling; experimental; investigation; glass

Development of a reliable Mg database that contains all the possible alloying elements is the applicant's long term objective. This will be achieved through computational thermodynamics coupled with key experiments using DSC, XRD, SEM/EPMA and diffusion-couples techniques. This proved to reduce the time and effort necessary to establish such a multicomponent database. The current proposal focuses on investigating Mg ternary systems that have strong potential for metallic glass applications. Three of such systems are Mg-Al-Y, Mg-Ni-Y and Mg-Cu-Y. Mg-based glass-forming alloys have attracted special attention due to their low-density, high strength, excellent corrosion resistance, and high toughness. Mg-based metallic glasses exhibit high tensile fracture strength which is more than twice as high as the highest strength of conventional Mg-based crystalline alloys. More importantly, it is mentioned in the literature that Mg-based alloys have the potential to produce the largest bulk metallic glass. So far, the efforts worldwide are focussed on the improvement of the glass-forming ability of Mg-based alloys by additions of different alloying elements. The current proposal aims at contributing to these efforts by providing a self-consistent thermodynamic database that can be used to identify the most promising compositions for Mg-alloys that have the highest glass-forming ability. Unlike the current practice of trial and error method, in the proposed research, the compositions that have the tendency to form bulk metallic glasses will be identified using this database. This can be obtained through identifying the compositions that exhibit low lying liquidus surface. It is worth noting that this strategy will enhance the chance of obtaining the most suitable Mg-based alloys for bulk metallic glass applications instead of the traditional empirical trial and error experimentation. Further, the proposed strategy will enable predicting the composition sensitivity of the glass-forming ability which is not possible by the existing criteria that are based on atomic size distribution. This project will benefit Canadian automobile and aerospace industries and will provide new opportunities to all Mg products producers.

开发包含所有可能合金元素的可靠MG数据库是申请人的长期目标。这将通过计算热力学以及使用DSC，XRD，SEM/EPMA和扩散与耦合技术技术结合的计算热力学来实现。事实证明，这可以减少建立此类多组件数据库所需的时间和精力。当前的提案着重于研究具有金属玻璃应用潜力强的MG三元系统。此类系统中有三个是mg-al-y，mg-ni-y和mg-cu-y。基于MG的玻璃形成合金由于其低密度，高强度，出色的耐腐蚀性和高韧性而引起了特别的注意。基于MG的金属玻璃表现出高抗拉力裂缝强度，其高度是常规MG基晶体合金强度的两倍以上。更重要的是，在文献中提到的是，基于MG的合金具有生产最大的大量金属玻璃的潜力。到目前为止，通过添加不同合金元素，全世界的努力都集中在基于MG的合金能力上的提高。当前的提案旨在通过提供一个自洽的热力学数据库来为这些努力做出贡献，该数据库可用于确定具有最高玻璃形成能力的MG合金的最有希望的组成。与当前的反复试验方法不同，在拟议的研究中，将使用此数据库确定具有形成大量金属眼镜的趋势的组合物。这可以通过识别表现出低谎言液体表面的成分来获得。值得注意的是，该策略将增加获得最合适的基于MG的合金用于散装金属玻璃应用，而不是传统的经验试验和错误实验。此外，提出的策略将使玻璃形成能力的组成灵敏度能够通过基于原子大小分布的现有标准不可能。该项目将使加拿大汽车和航空航天行业受益，并将为所有MG产品生产商提供新的机会。