Connecting Nanoscale Structure and Plasticity in Bulk Metallic Glasses

连接大块金属玻璃中的纳米结构和可塑性

• 批准号: 1232731
• 负责人: Paul Voyles
• 金额: $ 18万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2015-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1232731&HistoricalAwards=false
• 关键词: Connecting; Nanoscale; Structure; Plasticity; Bulk; Connecting; Nanoscale; Structure; Plasticity; Bulk

The research objective of this award is to connect structure to plastic deformation in bulk metallic glasses (BMGs). Experiments with fluctuation electron microscopy (FEM) will be used to measure nanoscale medium-range order in BMGs. The FEM data will be combined with an empirical interatomic potential in a hybrid Reverse Monte Carlo structural refinement, producing models with realistic short- andmedium-range structure. Research on Pd-Si BMGs will provide an essential test of the generality of a recently proposed structural modelfor Zr-Cu-Al BMGs that consists of nanometer-regions with crystal-like and icosahedral-like internal structure. If crystal-like nanometer scale regions are a general feature of BMG structure, it could have significant impact on models of their plastic flow.If successful, this research will lay the fundamental scientific groundwork for expanded applications of BMG alloys, by eventually assisting design of new alloys with desired mechanical and glass-forming characteristics through detailed understanding of their structure and its connection to plasticity. The research team will involve undergraduate and graduate students, especially from under-represented groups, and will engage the general public and K-12 students in the excitement and outcomes of the research.

该奖项的研究目标是将结构与散装金属眼镜（BMG）的塑性变形联系起来。波动电子显微镜（FEM）的实验将用于测量BMG中纳米级中等顺序。 FEM数据将与杂交蒙特卡洛结构改进中的经验互原势相结合，从而产生具有逼真的短和中间范围结构的模型。 PD-SI BMGS的研究将对最近提出的结构模量ZR-CU-AL BMG的通用性提供必要的测试，该结构模量Zr-Cu-Al BMG由具有晶体样和二十面体样结构的纳米区域组成。 如果类似晶体样的纳米尺度区域是BMG结构的一般特征，它可能会对其塑料流的模型产生重大影响。 研究团队将涉及本科生和研究生，尤其是来自代表性不足的小组的研究生，并将吸引公众和K-12学生的兴奋和成果。