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Characterisation of the eddy dissipation model for the analysis of hydrogen-fuelled scramjets

Hoste, J.J.O.E. and Fossati, M. and Taylor, I.J. and Gollan, R.J. (2019) Characterisation of the eddy dissipation model for the analysis of hydrogen-fuelled scramjets. Aeronautical Journal, 123 (1262). pp. 536-565. ISSN 0001-9240

[img] Text (Hoste-etal-AJ-2019-Characterization-of-the-Eddy-dissipation-model-for-the-analysis)
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    The eddy dissipation model (EDM) is analysed with respect to the ability to address the turbulence-combustion interaction process inside hydrogen-fuelled scramjet engines designed to operate at high Mach numbers (≈7-12). The aim is to identify the most appropriate strategy for the use of the model and the calibration of the modelling constants for future design purposes. To this end, three hydrogen-fuelled experimental scramjet configurations with different fuel injection approaches are studied numerically. The first case consists of parallel fuel injection and it is shown that relying on estimates of ignition delay from a 1D kinetics program can greatly improve the effectiveness of the EDM. This was achieved through a proposed zonal approach. The second case considers fuel injection behind a strut. Here the EDM predicts two reacting layers along the domain which is in agreement with experimental temperature profiles close to the point of injection but not the case any more at the downstream end of the test section. The first two scramjet test cases demonstrated that the kinetic limit, which can be applied to the EDM, does not improve the predictions in comparison to experimental data. The last case considered a transverse injection of hydrogen and the EDM approach provided overall good agreement with experimental pressure traces except in the vicinity of the injection location. The EDM appears to be a suitable tool for scramjet combustor analysis incorporating different fuel injection mechanisms with hydrogen. More specifically, the considered test cases demonstrate that the model provides reasonable predictions of pressure, velocity, temperature and composition.