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All Outputs (6)

Spatially Resolved Acoustic Spectroscopy Towards Online Inspection of Additive Manufacturing (2018)
Conference Proceeding
Milesh Pieris, D., Patel, R., Dryburgh, P., Hirsch, M., Li, W., Sharples, S. D., …Clark, M. (2018). Spatially Resolved Acoustic Spectroscopy Towards Online Inspection of Additive Manufacturing. In 57th Annual Conference of the British Institute of Non-Destructive Testing

High-integrity engineering applications such as aerospace will not permit the incorporation of components containing any structural defects. The current generation of additive manufacturing platforms yield components with relatively high levels of... Read More about Spatially Resolved Acoustic Spectroscopy Towards Online Inspection of Additive Manufacturing.

Super-resolution imaging using nano-bells (2018)
Journal Article
Fuentes-Dominguez, R., Pérez-Cota, F., Naznin, S., Smith, R. J., & Clark, M. (2018). Super-resolution imaging using nano-bells. Scientific Reports, 8, 1-9. https://doi.org/10.1038/s41598-018-34744-6

In this paper we demonstrate a new scheme for optical super-resolution, inspired, in-part, by PALM and STORM. In this scheme each object in the field of view is tagged with a signal that allows them to be detected separately. By doing this we can ide... Read More about Super-resolution imaging using nano-bells.

Imaging material texture of as-deposited selective laser melted parts using spatially resolved acoustic spectroscopy (2018)
Journal Article
Patel, R., Hirsch, M., Dryburgh, P., Pieris, D., Achamfuo-Yeboah, S., Smith, R., …Clark, M. (2018). Imaging material texture of as-deposited selective laser melted parts using spatially resolved acoustic spectroscopy. Applied Sciences, 8(10), Article 1991. https://doi.org/10.3390/app8101991

Additive manufacturing (AM) is a production technology where material is accumulated to create a structure, often through added shaped layers. The major advantage of additive manufacturing is in creating unique and complex parts for use in areas wher... Read More about Imaging material texture of as-deposited selective laser melted parts using spatially resolved acoustic spectroscopy.

Targeted rework of powder bed fusion additive manufacturing (2018)
Conference Proceeding
Dryburgh, P., Patel, R., Catchpole-Smith, S., Hirsch, M., Parry, L., Smith, R. J., …Clare, A. T. (2018). Targeted rework of powder bed fusion additive manufacturing. In Proceedings of LPM2018 - the 19th International Symposium on Laser Precision Microfabrication (#18/030)

There is a clear industrial pull to fabricate high value components using premium high temperature aerospace materials by additive manufacturing. Inconveniently, the same materials’ properties which allow them to perform well in service render them... Read More about Targeted rework of powder bed fusion additive manufacturing.

Non destructive evaluation of biological cells (2018)
Journal Article
Pérez-Cota, F., Smith, R. J., Moradi, E., Webb, K. F., & Clark, M. (2019). Non destructive evaluation of biological cells. AIP Conference Proceedings, 2102, https://doi.org/10.1063/1.5099737

© 2019 Author(s). Regenerative medicine promises to be the next revolution in health care. This technology, which will be the first systematic manufacturing of biological parts for human consumption, requires non destructive evaluatioin (NDE) thechni... Read More about Non destructive evaluation of biological cells.

Analysis of noise in differential and ratiometric biosensing systems (2018)
Journal Article
Abayzeed, S., Smith, R. J., See, C. W., & Somekh, M. G. (2018). Analysis of noise in differential and ratiometric biosensing systems. Sensors and Actuators B: Chemical, 260, 1059-1067. https://doi.org/10.1016/j.snb.2018.01.004

This paper presents formulations to evaluate noise in differential and ratiometric measurements that are often performed in biosensing. These measurements are performed to improve signal to noise ratio of the sensing systems for sensitive detection o... Read More about Analysis of noise in differential and ratiometric biosensing systems.