My PhD
Title:
Optimising and Understanding the novel Infinity Winglet Concept in the context of green aircraft and wind turbine blade design
External Stakeholder:
Fourth Dimensional Aerospace Technology UK (4DAT-UK)
The Reseach:
The aim of my PhD is to create a novel paradigm for the solution of complex aerodynamic design problems and deliver transformative technologies which place human expertise and intuition at the heart of the computational design process. Successful completion will deliver a step change in standard practice for the way in which industrial designers interact with evolutionary optimisation algorithms. This will provide the human designer with more powerful tools which will impact a range of areas, including: improving aerodynamic efficiency of aerospace vehicles and wind turbines, decreasing the amount of time spent on design, and the inclusion of aesthetic judgement in aerodynamic design.
One objective will be to develop novel methods for visualising evolutionary algorithms. In order to influence the decision making of an evolutionary algorithm a user needs to understand what decisions it is making and why. This project aims to develop new bespoke techniques for visualising evolutionary algorithms. This will benefit the entire optimisation community as we make it available as an open source tool.
Another objective will be to develop novel techniques that will enable designers to interact with and augment evolutionary algorithms. Evolutionary algorithms often design components which are aerodynamically efficient yet aesthetically flawed. These intangible aspects of design require human input. This project will open up a new area of research by developing techniques based on computational creativity to allow designers to interact with and influence evolutionary algorithms as they run.
https://cronfa.swan.ac.uk/Record/cronfa58027