Design Optimisation

Our work integrates multi-physics modelling, analytical design tools, and optimization algorithms to achieve lightweight, cost-effective, and high-efficiency machine designs.
This includes coupling electromagnetic, thermal, and structural models, and using AI and computational methods to streamline the design-to-manufacture workflow.

Research Background & Challenges

•Electromagnetic Design:

•Need to optimize magnetic field for most efficient operation

•Critical Current of HTS tapes

•Thermal Design:

•Operating Temperature

•Cooling System Design (Vacuum & Thermal Insulation)

•Cooling Power Requirements

•Structural Design:

•Need to support high force/torque

•Extra mass & cost of the structure?

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Workflow

Analytical Design Tools:

•Fastest to run but requires high domain knowledge to develop

•Easy to modify according to design requirements

•We have several in house design and optimization tools

•Generator Design & Optimization (CGEN – SuperMachine)

•Electromagnetic Models (Biot Savart)

•Electrical Equivalent Circuit Models

•Can be implemented with different software

•Matlab, Python, Excel

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Case Study: Optimised Superconducting Generator Design

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