Jack is undertaking his DPhil through the Centre for Doctoral Training (CDT) in Gas Turbine Aerodynamics. He completed his Master of Research degree at the University of Cambridge as part of the same programme following undergraduate studies at the University of Warwick. Before joining the CDT he worked in financial technology for a tier one investment bank.
Jack’s research focusses on modelling particulate deposition in gas turbines, primarily bounce-stick behaviour. Predicting deposition and erosion is desirable both to quantify the cost of ownership effects that arise from atmospheric contaminants and to allow the optimisation of component design to minimise engine deterioration. He is currently developing high performance numerical models of bounce-stick behaviour in addition to machine learning surrogate models for use with commercial CFD solvers. Modelling particle trajectory, rebound and deposition also has applications in additive manufacturing, pipeline engineering and biomedical sciences – particularly concerning the respiratory system.
Gaskell, J. G., McGilvray, M. & Gillespie, D. R. (2021). A Discrete Element Methods-Based Model for Particulate Rebound & Deposition in Gas Turbines. Proceedings of ASME Turbo Expo 2021. (Paper accepted)
Gaskell, J. G., McGilvray, M. & Gillespie, D. R. (2021). The Rebound of Non-Spherical Particles in Gas Turbine Components. Proceedings of 14th European Conference on Turbomachinery Fluid Dynamics & Thermodynamics. (Paper accepted)
Gaskell, J. G., Vadgama, N., McGilvray, M., Gillespie, D. R. & Clarkson, R. J. (2020). Collision-Induced Rotation and the Magnus Force on Particulates. AIAA Aviation 2020 Forum. doi:10.2514/6.2020-2820
Gaskell, J., Yip, V., & Thompson, O. (2018). The Nest Project: Initial Lessons from Large-Scale Student-Leadership. Student Engagement in Higher Education Journal, 2(2), 124-132. Retrieved from https://sehej.raise-network.com/raise/article/view/799
Gaskell, J., Doru, A., Harrold, D., Tam, E., Groves, R., Enaigbe, T., Chappell, M. J., Upadhyay, P. & Evans, N. D. (2018). A Novel Methodology for Analysis of Lower-Limb Loading with Applications for Implant Testing. Proceedings of BioMedEng18, 103. ISBN 978-1-9996465-0-9. Retrieved from https://www.biomedeng18.com/conference-proceedings