Numerical methodologies have been developed for a number of years, in order to predict engine soak-back in earlier design stages. This current paper is the second phase of a methodology development using coupled lattice-Boltzmann and nodal network simulations for the prediction of soak-back of a helicopter engine and its engine bay. The previous phase of the study (see GT2020-16096) focused on the engine bay, simulated with lattice-Boltzmann methods, whereas the core flow was simply modeled with imposed Heat Transfer Coefficients (HTC) and temperatures. Conduction and radiation within the solid parts are solved by a thermal solver, coupled with the CFD solver calculating convective heat transfers.

The current phase presented here extends the previous methodology by increasing the complexity of the core flow modeling. Two additional numerical approaches are considered: (1) a full simulation of the engine core flows and engine bay using lattice-Boltzmann simulations, and (2) a coupled methodology between lattice-Boltzmann simulations (for the engine bay) and 3D nodal network (for the core flows).

On one side, this study compares numerical predictions to tests data when available. On the other side, the numerical methodologies are compared using more detailed flow analysis and solid temperature evolutions, together with simulation turnaround times. All methodologies show promising results that could improve current industrial development processes.

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