Dr Tim Rooker
Tim’s current research, in collaboration with the Advanced Manufacturing Research Centre and metrology software products ltd., concerns the drift of geometric performance in machine tools throughout their operable life and between calibration cycles. He is exploring the use of machine learning paradigms to build intelligent monitoring models for this purpose. Potential benefits from this research include reduced frequency calibration cycles for higher manufacturing productivity, as well as an insight into the relationships between health parameters, which collectively determine the geometric error characteristics of the finished workpiece.
Rooker, T., Dervilis, N., Stammers, J., Worden, K., Hammond, P., Potts, G., Brown, T., and Kerrigan, K. 2019. ‘Predicting geometric tolerance thresholds in a five-axis machining centre’. In C. Niezrecki and J. Baquersad (eds). Structural Health Monitoring, Photogrammetry & DIC, Volume 6. 36th IMAC, A Conference and Exposition on Structural Dynamics, Orlando, USA, 12-15 February 2018, 93-100.