UK - Durham
2016 •
Understanding drivers of environmental concentrations •
Industrial Partner: Syngenta
The goal of this project was to understand why commercial modeling software predicts two seperate peaks in chemical concentration for a single application of said chemical. Using simple continuum models we were able to emulate the commercial software and explain the observed behaviour.
Study group report available here (not yet)
UK - Bath
2017 •
Optimal design of inflatable hydroponic systems •
Industrial Partner: Phytophonics
Investigated the mechanics of Phytophonics's novel design for a hydroponic system and subsequently optimized the design to support greater plant-mass.
Study group report available here (not yet)
Optimising the Design of Polythene Hydroponics Beds
A. Champneys, I. Hewitt, William T. Lee, A. Leida, M. Mcphail, E. Murphy, J. Ockendon, L. Parkin, L. Roberts.
Portugal - Barreira
2018 •
Organisational strategies for more reducing jams in marathons •
Industrial Partner: Lap2go
Constructed a model for runner density in marathons that accounts for different release strategies, running abilities, and possible choke points in the course. We trained this model using real race data and used the model to optimize marathon starting strategy (for race coordinators).
Study group report available here (or contact me directly)
Managing start waves for mass running events
A. Paula, S. Barbeiro, R. Barreira, L. Cavique, J. Correia, M. Cruz, R. Enguiça, N. Lopes, M. McPhail, J. Santos, P. Simões, F. Wechsung.
Ireland - Dublin
2018 •
Liquid wicking in hierachical microstructures •
Industrial Partner: Analog Devices
Modelled the deposition and spread of a droplet over a microstructured surface. Goal was to structure the surface for optimal spreading/wicking rate.
Study group report available here
Liquid Wicking in Hierarchical Microstructures
L. Ò Nàraigh, C. Deverapu, J. Herterich, D. Flynn, M. McPhail, D. Lunz, J.Dewynne.
South Africa -Cape Town (AIMS)
2019 •
Sustainability of fish populations •
Industrial Partner: Prof. Phil Broadbridge
Using models for fish population we were able to determine criteria for stable populations. Also determined how sensitive these criteria are to different habitat geometry and carrying capacity.
Study group report here (not yet)