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High throughput crystal structure and composition mapping of crystalline nanoprecipitates in alloys by transmission Kikuchi diffraction and analytical electron microscopy

机译:通过透射kikuchi衍射和分析电子显微术,合金中结晶纳米沉淀物的高通量晶体结构和组成映射

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Statistically significant crystal structure and composition identification of nanocrystalline features such as nanoparticles/nanoprecipitates in materials chemistry and alloy designing using electron microscopy remains a grand challenge. In this paper, we reveal that differing crystallographic phases of nanoprecipitates in alloys can be mapped with unprecedented statistics using transmission Kikuchi diffraction (TKD), on typical carbon-based electron-transparent samples. Using a case of multiphase, multicomponent nanoprecipitates extracted from an improved version of 9% chromium Eurofer-97 reduced-activation ferritic-martensitic steel we show that TKD successfully identified more than thousand M23C6, MX, M7C3, and M2X (M = Fe, Cr, W, V, Ta; X = C, N) nanoprecipitates in a single scan, something that is currently unachievable using a transmission electron microscope (TEM) without incorporating a precision electron diffraction (PED) system. Precipitates as small as similar to 20-25 nm were successfully phase identified by TKD. We verified the TKD phase identification using high-resolution transmission electron microscopy (HRTEM) and convergent beam electron diffraction (CBED) pattern analysis of a few precipitates that were identified by TKD on same sample. TKD study was combined with state-of-art analytical scanning transmission electron microscopy (STEM)-energy dispersive X-ray (EDX) spectroscopy and multivariate statistical analysis (MVSA) which provided the complete crystal structure and distinct chemistries of the precipitates in the steel in a high throughput automated way. This technique should be applicable to characterizing any multiphase crystalline nanoparticles or nanomaterials. The results highlight that combining phase identification by TKD with analytical STEM and modern data analytics may open new pathways in big data material characterization at nanoscale that may be highly beneficial for characterizing existing materials and in designing new materials.
机译:统计学上显着的晶体结构和组合物鉴定如材料化学和用电子显微镜的材料化学和合金设计中的纳米粒子/纳米沉淀物仍然是一个大挑战。在本文中,我们揭示了在典型的碳基电子透明样品上使用透射kikuchi衍射(Tkd)来映射到合金中纳米沉淀物中纳米沉淀物的不同晶体相。使用多相的情况,从改进的9%铬Eurofer-97减压铁素体 - 马氏体钢中提取的多组分纳米沉淀物我们表明TKD成功鉴定了一千M23C6,MX,M7C3和M2X(M = FE,CR ,W,V,Ta; x = C,n)纳米尺寸在单个扫描中,使用透射电子显微镜(TEM)目前无法实现的东西,而不包含精密电子衍射(PED)系统。沉淀物与20-25nm一样小,成功通过TKD鉴定。我们使用高分辨率透射电子显微镜(HRTEM)和收敛光束电子衍射(CBE)图案分析在同一样品上鉴定的少量沉淀物的收敛光束电子衍射(CBE)图案分析。 TKD研究与最先进的分析扫描透射电子显微镜(茎) - 单体分散X射线(EDX)光谱和多变量统计分析(MVSA)结合,提供了完全晶体结构和钢中沉淀物的不同化学品在高吞吐量的自动化方式。该技术应适用于表征任何多相结晶纳米颗粒或纳米材料。结果突出显示TKD与分析词干和现代数据分析的相结合相位鉴定可以在纳米尺度的大数据材料表征中开辟新的途径,这对于特征在于现有材料和设计新材料。

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