The EPSRC-funded grant Inside-Out: Statistical methods for Computed Tomography validation of complex structures in Additive Layer Manufacturing
(EP/K031066/1: 2013-2016) was held jointly by Warwick Statistics and Warwick Manufacturing Group (WMG), involving a multidisciplinary team, namely Julia Brettschneider, Wilfrid Kendall (PI), Audrey Kueh (Statistics), and Tom Nichols (Statistics/WMG) and Greg Gibbons, Jay Warnett, and Mark Williams (co-PI) (WMG). The overall aim of the project was to investigate the use of advanced statistical methods to determine the best ways in which to use computed tomography (CT) to assess quality of short production runs of objects produced by Additive Layer Manufacturing ("3D printing"). The challenge here is that CT is necessarily a slow process when applied to high density objects, so careful methodological thought is required to consider the most effective ways to determine quality on a short time-scale. We have established regular industrial collaboration with Nikon UK, Renishaw, and EOS. Current outputs include a statistical approach to estimate of blurring effects (Kueh et al, 2015)
In the course of our work, we have identified a number of possible PhD projects. One of these is mentioned separately (Statistics and the Life and Death of Pixels). Another concerns refinement of work conducted by the team on identifying small defects based on a very limited number of projections; this work is currently being written up but there is much more left to do. Contact me if you want to find out more.
- Kueh, A., Warnett, J. W., Gibbons, G. J., Brettschneider, J., Nichols, T. E., Williams, M. A., & Kendall, W. S. (2016). Modelling the Penumbra in Computed Tomography. Journal of X-Ray Science and Technology 24.4 583-597.