Biography
Dr. Luca Di Mare was previously at Imperial College London where he led the Whole Engine Modelling Group in the Vibration University Technology Centre sponsored by Rolls-Royce plc.
His main research interests are in the area of computational modelling of gas turbines. His work aims to build models of whole gas turbines as well as single components at multiple levels of fidelity and physical modelling, combining expertise in the areas of computational geometry, computation fluid dynamics, grid generation and structural analysis. His group’s Virtual Engine software, is earmarked as a candidate component for Engineering Systems for Rolls-Royce plc.
Luca also leads experimental/numerical research in turbulence modelling in compressors at the Whittle Laboratory, where he is a Visiting Academic.
Research Interests
- Gas turbines
- Computational geometry
- Computational fluid dynamics
- Grid generation
- Structural Analysis
Recent Publications
Numerical simulation of transpiration cooling on stagnation line in thermochemical non-equilibrium
Brody S, Lau KS, Clarke J, McGilvray M & Di Mare L (2024)
BibTeX
@inproceedings{numericalsimula-2024/1,
title={Numerical simulation of transpiration cooling on stagnation line in thermochemical non-equilibrium},
author={Brody S, Lau KS, Clarke J, McGilvray M & Di Mare L},
booktitle={AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum 2024)},
year = "2024"
}
Numerical simulations of carbon contaminants in T6 shock tube tests
Clarke J, Glenn AB, Varley O, Di Mare L & McGilvray M (2024), AIAA SCITECH 2024 Forum, 2024, 1-22
LASTA 2.0: validation of a reverse time integration method
Steer J, Clarke J, McGilvray M & Di Mare L (2024), AIAA SCITECH 2024 Forum
Heat transfer and turbulent heat flux budgets in cooling films
Hao M & di Mare L (2023), International Journal of Heat and Mass Transfer, 217
Budgets of Reynolds stresses in film cooling with fan-shaped and cylindrical holes
Hao M & di Mare L (2023), Physics of Fluids, 35(8)
Generating high-efficiency swimming kinematics using hydrodynamic eigenmode decomposition
Smyth A, Young A & Di Mare L (2023), Physics of Fluids, 35(8)
Scaling and similarity laws in three-dimensional wall jets
Hao M & di Mare L (2023), Physics of Fluids, 35(7)
Reynolds stresses and turbulent heat fluxes in fan-shaped and cylindrical film cooling holes
Hao M & di Mare L (2023), International Journal of Heat and Mass Transfer, 214
Spatial transformations for reacting gas shock tube experiments
Clarke J, Di Mare L & McGilvray M (2023), AIAA Journal
GPU-Accelerated Implicit Turbomachinery Flow Solver Using Multiple MPI Communicators
Wang F & di Mare L (2023)
BibTeX
@inproceedings{gpuacceleratedi-2023/6,
title={GPU-Accelerated Implicit Turbomachinery Flow Solver Using Multiple MPI Communicators},
author={Wang F & di Mare L},
booktitle={Volume 13C: Turbomachinery — Deposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions},
year = "2023"
}