CombiMet : Combinatorial metallurgy : high throughput mapping in time and compositional space of the microstructure of advanced alloys

The design space of alloys encompasses composition and processing parameters. Exploring the link between these and the microstructure, which control properties, allows feeding materials models and design new alloys. CombiMet will set-up on ID31 a high throughput methodology that will improve drastically the efficiency of this exploration, based on combined space- and time-resolved HEXRD on on materials with composition gradients, giving access to mapping of microstructure evolution kinetics in parameter space.
This methodology involves the development of sample environments for in-situ thermo-mechanical processing with fast continuous sample translation synchronized with fast data acquisition. AI-aided data reduction will be developed to reduce the large datasets generated. These tools will be used for scientific cases addressing coupled microstructure evolutions including phase transformations, recrystallization and recovery, for improved structural properties and recyclability.

合金的设计空间涵盖成分与工艺参数。探究二者与调控材料性能的微观组织之间的关联，可为材料模型提供支撑并助力新型合金的开发设计。CombiMet项目将在ID31装置上搭建一套高通量表征方法，基于成分梯度材料的时空分辨高能X射线衍射（HEXRD）联合测试，大幅提升该探索过程的效率，从而实现参数空间内微观组织演化动力学图谱的绘制。
该方法需开发适配原位热机械加工的样品环境，实现快速连续样品平移与快速数据采集的同步。同时将研发AI辅助数据约简技术，以处理生成的大规模数据集。上述工具将应用于涵盖相变、再结晶与回复过程的耦合微观组织演化相关科学研究场景，以优化结构性能并提升材料的可回收性。