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Content archived on 2022-12-23

Improving transition predictions for internal and external flow applications

Objective



Transition from laminar to turbulent flow is a phenomenon encountered in almost all practical engineering situations involving fluid flow, whether over the external or internal surfaces of the device concerned. Accurate predictions of the point where such a transition process is first initiated, and the surface length over which it is completed, are essential elements in the assessment of any engineering design. Indeed, in some circumstances, e.g. within the internal passages of gas turbines where the conditions are such that the flow over the various components is almost wholly in a transitional state, such predictions are the key factor in attempting to use computational fluid dynamics (CFD) to optimise performance instead of very expensive, parametric experimental testing.

In the absence of any disturbance to laminar flow, natural transition will eventually occur due to the onset of flow instabilities, leading to the growth of regular two-dimensional waves, which break up into three-dimensional turbulent motions. However, under the influence of sufficiently strong external disturbances, this process may be by-passed and transition occur much more quickly. This is amenable to prediction by modified versions of models developed for handling turbulent flows.

The aim of this project is to advance current European CFD capabilities in this important area of predicting by-pass transition by integrating novel modelling and experimental studies carried out at three NIS research establishments with other activities already underway within an established network of Western Europe organisations forming the European Research Community on Flow Turbulence and Combustion (ERCOFTAC) special interest group (SIG) on transition.

The main project of the ERCOFTAC transition SIG is the evaluation and improvement of turbulence model predictions for transition. All three NIS groups are developing model approaches which are complementary to the different schemes being evaluated by the other participants of the SIG. Experimental data that they can provide will also broaden the range of test cases against which the best of these can be evaluated.

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Coordinator

University of Cambridge
EU contribution
No data
Address
Trumpington Street
CB2 1PZ Cambridge
United Kingdom

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Total cost

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Participants (3)