X-ray Microscopy of Particulate Matter in Automotive Filters

汽车过滤器中颗粒物的 X 射线显微镜检查

• 批准号: 2784874
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2784874
• 关键词: ray; Microscopy; Particulate; Matter; Automotive

Airborne particulate matter (PM) presents a hazard to human health and the environment and advanced filtration technologies have been developed to reduce the harm of PM, driven by tightening regulation and economic drivers such as fuel efficiency and the cost of catalyst metals. This project uses x-ray tomography and electron microscopy to image particulate matter and to observe the capture of aerosolized PM within particulate filters. The project addresses why exhaust filters can have variable effectiveness according to sizes and composition of PM, why particulate filters age over time, and how filters may be better designed and manufactured in the future. Furthermore, it develops a unique flow system able to observe In situ filtration in a variety of filters including HEPA and respiratory protective equipment ('face masks').The approach is to combine synchrotron x-ray radiation (Diamond Light Source) with an new purpose built in situ aerosol flow system developed by the student. Sophisticated 3D image analysis is then used on the tomographic datasets applying high performance computation for image processing and machine learning algorithms for image segmentation and measurement. The characteristics of the filter geometry and construction are assessed in relation to the observed build up of particulate matter in the filter during operation.This addresses EPSRC research areas in Catalysis, Combustion engineering, Manufacturing technologies, Particulate technology and Image and vision computing.

空气中的颗粒物(PM)对人类健康和环境构成危害，在加强监管和经济驱动因素(如燃油效率和催化剂金属成本)的推动下，先进的过滤技术已被开发出来以减少PM的危害。该项目使用X射线断层扫描和电子显微镜对颗粒物质进行成像，并观察颗粒过滤器内气雾化PM的捕获情况。该项目解决了为什么排气过滤器可以根据PM的大小和组成具有不同的效果，为什么颗粒过滤器会随着时间的推移而老化，以及过滤器如何在未来得到更好的设计和制造。此外，它还开发了一种独特的流动系统，能够观察包括HEPA和呼吸防护设备(面罩)在内的各种过滤器的原位过滤。方法是将同步加速器X射线辐射(钻石光源)与学生开发的新的特制就地气溶胶流动系统相结合。然后，对层析数据集进行复杂的3D图像分析，应用高性能计算进行图像处理，并使用机器学习算法进行图像分割和测量。根据在运行过程中观察到的颗粒物质在过滤器中的堆积，评估过滤器的几何和结构特征。这涉及EPSRC在催化、燃烧工程、制造技术、颗粒技术以及图像和视觉计算方面的研究领域。