The next KE Hub online Triage Workshop will be presented by Quanta Engineering:
Mathematical optimisation of propellant-free electric propulsion: From magnetic field dynamics to digital twin development
Quanta Engineering, a University of Leicester spin-off, is developing revolutionary propellant-free electric propulsion thrusters for Low Earth Orbit and space operations. Following successful collaboration with NPL to validate the underlying physics, we are seeking mathematical expertise to address critical optimisation challenges that will enable commercial deployment.
Our propulsion system uses magnetic fields to accelerate ionised particles, creating thrust without traditional propellants. We face interconnected mathematical challenges spanning:
1. Electromagnetic System OptimisationRapid energisation of magnetic fields while minimising power consumption
• Coil geometry and configuration optimisation
• Trade-offs between magnetisation speed, field strength, and energy efficiency
2. Advanced Materials Selection
• Identifying ceramic materials and high-permeability coatings suitable for space environments
• Optimising magnetic properties whilst maintaining electromagnetic shielding
• Multi-objective materials selection under extreme environmental constraints
3. Particle Dynamics in Complex Magnetic Fields
• Determining optimal magnetic field geometries for ion capture and acceleration
• Modelling particle behaviour as magnetic field velocities approach relativistic speeds
• Identifying operational limitations and boundary conditions
4. Digital Twin Development
• Building upon existing NPL work to create comprehensive system models
• Integrating electromagnetic, thermal, and particle dynamics
• Enabling predictive optimisation and real-time operational adjustments
5. Operational Environment Analysis
• Understanding performance limitations at sea level versus vacuum conditions
• Characterising atmospheric interaction effects
We are looking for mathematical scientists with expertise in:
• Electromagnetic field optimisation and control theory
• Computational fluid/particle dynamics
• Multi-objective optimisation under constraints
• Digital twin frameworks and system modelling
• Materials science modelling
The workshop will explore which mathematical approaches can address these interconnected challenges and identify pathways for collaborative development. We welcome innovative mathematical perspectives that could unlock performance improvements or reveal new optimisation strategies.
Success will enable sustainable satellite operations, reducing space debris and operational costs whilst opening new possibilities for space infrastructure. The mathematical challenges are complex but tractable, with potential for significant academic and commercial impact.
