Academic Division: Energy, Fluid Mechanics and Turbomachinery
Research group: Energy
Development of low-order network models to assess the stability of thermoacoustic systems. By using adjoint-based methods we extract information on how the resonant modes shift as soon as we change any of the parameters of the system. Taking this gradient information as an input for an optimization routine, we are able to find configurations which are linearly stable to infinitesimal perturbations.
- Network modelling
- Adjoint based sensitivity analysis
- Optimization for stability
- José G. Aguilar, Luca Magri, Matthew P. Juniper, (2017) Adjoint-based sensitivity analysis of low-order thermoacoustic networks using a wave-based approach, Journal of Computational Physics.
Supervising Compressible Flow modules:
- 1D and 2D Compressible flow theory
- Shockwave theory
- Numerical Methods
|PhD candidate in Engineering, University of Cambridge||2015 - ongoing|
|Brakes applications Engineer, Ford Motor Company||2012 - 2014|
|BSc Mechanical Engineering, ITESM CEM, Mexico||2008 - 2012|