Konstantinos Ritos

Dr

  • United Kingdom

Accepting PhD Students

20102020

Research output per year

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Personal profile

Personal Statement

I joined the University in 2011 as a PhD student in the James Weir Fluids Laboratory under the supervision of Prof. J. Reese. In 2014, after defending my PhD thesis on Nano and Micro-Scale Fluid Dynamics, I got a new role in the University as a Research Associate. In this role I was the Fluid Dynamics Expert of the Weir Advanced Research Centre working on a range of projects involving centrifugal pumps and safety relief valves. Since 2015 I am a Lecturer in Multi-Physics Fluid Mechanics at the Department of Mechanical and Aerospace Engineering.

Currently I teach compressible fluid mechanics (Heat and Flow 3 – ME301/303) and Advanced Topics in Fluid Systems Engineering (ME514) where I try to make complex fluid physics accessible to students. More importantly I try to link the fundamental mathematics and physics with modern applications as well as with the latest simulation approaches that take advantage of computers through specialised software.

The above link well with my research which involves Multi-physics modelling of advanced fluid mechanics applications using a range of programming languages (Fortran 90/95, C/C++, Python, Perl, Matlab) as well as commercial CFD tools such as OpenFOAM, Fluent and Star- CCM+. Currently my research focuses on the accuracy of high-order methods in supersonic and hypersonic transitional and turbulent boundary layers, including problems featuring shock wave/boundary layer interaction (SWBLI) and separation, with an overall scope to improve understanding of acoustic loading on aerospace structures. Part of this research was sponsored by the Air Force Office of Scientific Research, Air Force Material Command of the United States Air Force.

Research Interests

  • Multi-physics modelling of advanced fluid mechanics applications.

  • Supersonic and hypersonic transitional and turbulent flows.

  • Acoustic loading on aerospace structures.

  • High-order methods, iLES and DNS.

  • Modelling of fluid flows inside and around micro and nano structures.

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