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Dr

Luca Di Mare

Associate Professor of Engineering Science

Fellow of St John's College

TEL: 01865 288724
COLLEGE: St John's College

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 View PDF
@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

BibTeX
@inproceedings{numericalsimula-2024/1,
  title={Numerical simulations of carbon contaminants in T6 shock tube tests},
  author={Clarke J, Glenn AB, Varley O, Di Mare L & McGilvray M},
  booktitle={AIAA SCITECH 2024 Forum},
  pages={1-22},
  year = "2024"
}

LASTA 2.0: validation of a reverse time integration method

Steer J, Clarke J, McGilvray M & Di Mare L (2024), AIAA SCITECH 2024 Forum

BibTeX View PDF
@inproceedings{lastavalidation-2024/1,
  title={LASTA 2.0: validation of a reverse time integration method},
  author={Steer J, Clarke J, McGilvray M & Di Mare L},
  booktitle={2024 AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)},
  year = "2024"
}

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, 124324-124324

BibTeX View PDF
@article{reynoldsstresse-2023/11,
  title={Reynolds stresses and turbulent heat fluxes in fan-shaped and cylindrical film cooling holes},
  author={Hao M & di Mare L},
  journal={International Journal of Heat and Mass Transfer},
  volume={214},
  number={124324},
  pages={124324-124324},
  publisher={Elsevier BV},
  year = "2023"
}

Heat transfer and turbulent heat flux budgets in cooling films

Hao M & di Mare L (2023), International Journal of Heat and Mass Transfer, 217

BibTeX View PDF
@article{heattransferand-2023/9,
  title={Heat transfer and turbulent heat flux budgets in cooling films},
  author={Hao M & di Mare L},
  journal={International Journal of Heat and Mass Transfer},
  volume={217},
  number={124687},
  publisher={Elsevier},
  year = "2023"
}

Generating high-efficiency swimming kinematics using hydrodynamic eigenmode decomposition

Smyth A, Young A & Di Mare L (2023), Physics of Fluids, 35(8)

BibTeX View PDF
@article{generatinghighe-2023/8,
  title={Generating high-efficiency swimming kinematics using hydrodynamic eigenmode decomposition},
  author={Smyth A, Young A & Di Mare L},
  journal={Physics of Fluids},
  volume={35},
  number={087103},
  publisher={American Institute of Physics },
  year = "2023"
}

Scaling and similarity laws in three-dimensional wall jets

Hao M & di Mare L (2023), Physics of Fluids, 35(7)

BibTeX View PDF
@article{scalingandsimil-2023/7,
  title={Scaling and similarity laws in three-dimensional wall jets},
  author={Hao M & di Mare L},
  journal={Physics of Fluids},
  volume={35},
  number={075102},
  publisher={AIP Publishing},
  year = "2023"
}

Spatial transformations for reacting gas shock tube experiments

Clarke J, Di Mare L & McGilvray M (2023), AIAA Journal

BibTeX View PDF
@article{spatialtransfor-2023/6,
  title={Spatial transformations for reacting gas shock tube experiments},
  author={Clarke J, Di Mare L & McGilvray M},
  journal={AIAA Journal},
  publisher={American Institute of Aeronautics and Astronautics},
  year = "2023"
}

GPU-Accelerated Implicit Turbomachinery Flow Solver Using Multiple MPI Communicators

Wang F & di Mare L (2023)

BibTeX View PDF
@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"
}

Development of a New Loss Model for Turbomachinery Labyrinth Seals

Kulkarni D & Mare LD (2023), Journal of Engineering for Gas Turbines and Power, 145(6)

BibTeX View PDF
@inproceedings{developmentofan-2023/6,
  title={Development of a New Loss Model for Turbomachinery Labyrinth Seals},
  author={Kulkarni D & Mare LD},
  year = "2023"
}
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