Skip to main content
Menu
Profile photo of Luca-Di-Mare

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

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"
}

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"
}

A statistic study on raspberry vesicles: formation and properties

Guo Y, di Mare L & Wong J (2023), Polymer, 280

BibTeX View PDF
@article{astatisticstudy-2023/5,
  title={A statistic study on raspberry vesicles: formation and properties},
  author={Guo Y, di Mare L & Wong J},
  journal={Polymer},
  volume={280},
  number={126058},
  publisher={Elsevier},
  year = "2023"
}

Divergence-free turbulent inflow data from realistic covariance tensor

Dreze Y, Hao M & di Mare L (2023), Physics of Fluids, 35(2)

BibTeX View PDF
@article{divergencefreet-2023/2,
  title={Divergence-free turbulent inflow data from realistic covariance tensor},
  author={Dreze Y, Hao M & di Mare L},
  journal={Physics of Fluids},
  volume={35},
  number={025120},
  publisher={AIP Publishing},
  year = "2023"
}

Generation of turbulent inflow data from realistic approximations of the covariance tensor

Hao M, Hope-Collins J & di Mare L (2022), Physics of Fluids, 34

BibTeX View PDF
@article{generationoftur-2022/10,
  title={Generation of turbulent inflow data from realistic approximations of the covariance tensor},
  author={Hao M, Hope-Collins J & di Mare L},
  journal={Physics of Fluids},
  volume={34},
  number={115140 },
  publisher={AIP Publishing},
  year = "2022"
}

The influence of shock speed variation on radiation and thermochemistry experiments in shock tubes

Cone PL, Satchell M, Di Mare L & McGilvray M (2022), Journal of Fluid Mechanics, 948

BibTeX View PDF
@article{theinfluenceofs-2022/9,
  title={The influence of shock speed variation on radiation and thermochemistry experiments in shock tubes},
  author={Cone PL, Satchell M, Di Mare L & McGilvray M},
  journal={Journal of Fluid Mechanics},
  volume={948},
  number={A51},
  publisher={Cambridge University Press},
  year = "2022"
}

Analysis of transonic bladerows with non-uniform geometry using the spectral method

Wang F & di Mare L (2021), Journal of Turbomachinery, 143(12)

BibTeX View PDF
@article{analysisoftrans-2021/7,
  title={Analysis of transonic bladerows with non-uniform geometry using the spectral method},
  author={Wang F & di Mare L},
  journal={Journal of Turbomachinery},
  volume={143},
  number={121012},
  publisher={American Society of Mechanical Engineers},
  year = "2021"
}

Software prefetching for unstructured mesh applications

Hadade I, Jones TM, Wang F & Di Mare L (2020), ACM Transactions on Parallel Computing, 7(1)

BibTeX View PDF
@article{softwareprefetc-2020/3,
  title={Software prefetching for unstructured mesh applications},
  author={Hadade I, Jones TM, Wang F & Di Mare L},
  journal={ACM Transactions on Parallel Computing},
  volume={7},
  number={3},
  publisher={Association for Computing Machinery},
  year = "2020"
}

Efficient approach for simulating aperiodic flows due to geometry distortions

Wang F & Di Mare L (2019), AIAA Journal, 58(3)

BibTeX View PDF
@article{efficientapproa-2019/12,
  title={Efficient approach for simulating aperiodic flows due to geometry distortions},
  author={Wang F & Di Mare L},
  journal={AIAA Journal},
  volume={58},
  publisher={American Institute of Aeronautics and Astronautics},
  year = "2019"
}
View all