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Research project

H2020 - Madeline - JAE-WOOK KIM

Staff

Lead researchers

Professor Jae Wook Kim PhD, FRAeS, FHEA, CEng.

Professor of Aerodynamics&Aeroacoustics

Research interests

  • Aerodynamics
  • Aeroacoustics
  • Compressible Fluid Flow
Connect with Jae Wook

Email: [email protected]

Other researchers

Professor Alec Wilson

Professor Computational Aeroacoustics

Research interests

  • As Director of the Rolls-Royce UTC in Propulsion Systems Noise Alec develops, leads and participates in a range of European and UK collaborative research programmes in the field of aeroplane noise, with particular emphasis on aeroengine noise sources and sound propagation.
  • While at Rolls-Royce Alec played a pioneering role in the application of aerodynamic CFD codes to predict turbomachinery tone noise generated by real engineering geometries, and Alec’s own research at the University of Southampton still centres on the development and application of analytic and numerical modelling techniques to real-world engineering issues and opportunities.
  • An example of Alec’s current research is the development of a new prediction method based on eigen analysis.  Eigen analysis has been used for many years to provide a fast, computationally efficient method for predicting noise propagation in ducts, but the methods used have been limited to simplified geometries and mean flow which has limited their usefulness in practice.  The new method being developed retains the computational efficiency of previous methods, but can be applied to any smoothly varying mean flow and duct geometry.  The initial target of the research is to provide a method to predict acoustic propagation through a three-dimensional aeroengine intake at a computational cost that permits multiple calculations during the design optimisation process.
Connect with Alec

Email: [email protected]

Collaborating research institutes, centres and groups

Research outputs

Automatic design optimisation of a transonic compressor rotor for improving aeroacoustic and aerodynamic performance
Long Wu, Jae Wook Kim, Alexander Wilson & Shahrokh Shahpar, 2022, Journal of Turbomachinery, 144(8)
DOI: 10.1115/1.4053916
Type: article
Low-noise blade design optimization for a transonic fan using adjoint-based approach
Long Wu, Alexander Wilson, Jae Wook Kim, David Radford & Shahrokh Shahpar, 2021, AIAA Journal, 60(4), 2367－2382
DOI: 10.2514/1.J060959
Type: article
Low-noise blade design optimization for a transonic fan using adjoint-based MDO approach
Long Wu, Alexander Wilson, Jae Wook Kim, David Radford & Shahrokh Shahpar, 2021
DOI: 10.2514/6.2021-3055
Type: conference