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Dynamics of large and inertial scale turbulent structures in an internal combustion engine

Academic lead
Dr Alexy Burluka, School of Mechanical Engineering
Co-supervisor(s)
Prof Sam Falle, School of Mathematics
Project themes
Reacting flows, mixing and safety

This project will combine Large-Eddy Simulations (LES) with the time-resolved high-speed Particle-Image Velocimetry (PIV) of turbulent flows in a reciprocating internal combustion engine. While it is still common that the turbulence is modelled with either two-equation models, e.g. ubiquitous k-epsilon model, or with the approaches based on transport equations for individual components of the Reynolds-stress tensor, LES methods, despite all their promise, have not yet found a wide-spread use. However, with the recent development of fast repetition rate lasers, the time resolved PIV in engines have become possible but such applications are few and restricted to a "demonstration of capability". This project aims at combination of the two best available approaches in an attempt to elucidate the properties of the large and inertial scales of turbulent flows in engines. The previous experimental work shows that the combustion rate is determined by these scales rather than universal small-scale turbulence. One particular obstacle to the application of PIV or LES is the significant amount of data produced by these methods; this large amount is due to the unsteady character of the flows. Because of this, the project will consider methods of representation of the velocity fields in terms of a small number of modes using either Principal Orthogonal Decomposition (POD) or another similar technique. The Combustion Group in Mech Eng developed an extensive experimental database of burning rates of high-pressure premixed flames. Mr Khan's study will concentrate on assessment and selection of various LES models, starting with the basic Smagorinsky's sub-grid model, using this database. This work will necessitate development of a computer code; it is anticipated that this will benefit from the modern computer programming practices. The main outcome should be a clear recommendation on what LES sub-grid model offers the best capabilities for combustion modelling under conditions approaching those existing in a modern gas turbine or spark-ignition engine.