MRI: Acquisition of an Xradia Versa 620 to Enable National Capabilities for High-throughput, Multiscale 3D/4D Materials Research
MRI: Acquisition of an Xradia Versa 620 to Enable National Capabilities for High-throughput, Multiscale 3D/4D Materials Research
批准号:
2216225
负责人:
Jacob Hochhalter
金额:
$149.01万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-01 至 2023-08-31
中文摘要
这一重大研究仪器(MRI)奖支持购买一台先进的X射线显微镜,用于检查各种天然和工程材料。这种仪器能够对基本性质和机制进行小规模的检查。在轻质航空航天材料中,将研究破裂的早期阶段,以改进失效和可靠性模型。在地质材料方面,将研究流体在多孔介质中的流动,以帮助开发新的预测模型,以提高能源效率和减少对环境的影响。在生物材料方面,将研究骨中骨折的抗力和医用植入物的有效性。NSF资助的国家科学数据结构(NSDF)将被用来确保有效的数据存储、网络、计算和教育资源。将该文书与国家可持续发展基金结合起来,必然会将该文书作为一种资源扩展到为少数群体服务的机构和弱势社区。这是为了帮助解决我们科学界的技术差距。在同步加速器光束线设施上实现的高能X射线实验(HEXRE)引领了对广泛材料的3D/4D微结构敏感研究的新前沿。然而,利用同步加速器光束线设施的资源进行现场测试和3D/4D成像需要一个应用程序来获得访问并完成一项简短的研究,这本身就限制了这些令人兴奋的方法的影响。该项目的主要目标是推出XRadia Versa 620,作为波束线资源的民主化、实验室规模的替代品,以实现对微结构敏感的3D/4D实验研究和模型开发的广泛采用,以加快材料的开发和鉴定。与同步加速器设施相比,Versa 620能够以较低的分辨率扫描大型物体(直径几英寸),但吞吐量较高,从而提高了数据采集的速度,从而使大型扫描能够找到感兴趣的区域,然后成为高分辨率测量的焦点。扫描速度的提高和可访问性的提高将使增加的数据量能够推动这一新的前沿领域在材料研究中应用数据科学。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This Major Research Instrumentation (MRI) award supports the acquisition of an advanced x-ray microscope for examination of a broad range of natural and engineered materials. This instrument enables small-scale examinations of fundamental properties and mechanisms. In lightweight aerospace materials, early stages of cracking will be studied to improve failure and reliability models. In geological materials, fluid flow in porous media will be studied to assist in the development of new predictive models to improve energy efficiency and reduce environmental impacts. In biological materials, resistance to fracture in bone and effectiveness of medical implants will be studied. The NSF-funded National Science Data Fabric (NSDF) will be leveraged to ensure effective data storage, networking, computing, and educational resources. Integration of the instrument with NSDF will inherently extend the instrument as a resource to minority-serving institutions and disadvantaged communities. This is intended to help address the technology gap in our scientific community. High-energy X-ray experiments (HEXRE) enabled at synchrotron beamline facilities have led a new frontier of 3D/4D microstructure-sensitive investigations for a broad range of materials. However, in-situ testing and 3D/4D imaging using resources at a synchrotron beamline facility requires an application process to gain access and complete an abbreviated study, which inherently restricts the impact of these exciting methods. The primary objective of this project is to launch an Xradia Versa 620 to be utilized as a democratized, lab-scale surrogate for beamline resources to enable widespread adoption of microstructure-sensitive 3D/4D experimental studies and model development for the acceleration of materials development and qualification. Compared to synchrotron facilities, the Versa 620 improves speed of data acquisition though the ability to scan large objects (several inches in diameter) at lower resolutions, but with high throughput, thereby enabling large scans to find areas of interest that can then be the focus of high-resolution measurements. The improved scan speeds and increased accessibility will enable increased data quantities to advance this new frontier toward data science applications in materials research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CDS&E/Collaborative Research: Interpretable Machine Learning for Microstructure-Sensitive Fatigue Crack Initiation from Defects in Additive Manufactured Components
-
批准号:2152868
-
项目类别:Standard Grant
-
资助金额:$27.53万
-
财政年份:2022
-
负责人:Jacob Hochhalter
-
依托单位:
海外基金