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Cocks, Peter A.

Publications and source records attributed to Cocks, Peter A..

High Fidelity Simulations of a Non-Premixed Rotating Detonation Engine

Over the last two decades, detonation based propulsion concepts have received a great deal of attention as a means to achieve significant improvement in the performance of air-breathing and rocket engines. Detonative combustion mode is particularly interesting due to the resulting pressure gain from reactants to products, faster heat release, decreased entropy generation, more available work and higher thrust compared to conventional deflagrative combustion. Rotating detonation engine (RDE) is one such class of novel combustor concepts. Realistic RDE configurations utilize separate fuel and air injection schemes, hence are not perfectly premixed. Moreover, the performance of RDEs is governed by a large number of design parameters and operating conditions. In this context, computational fluid dynamics (CFD) has the potential to enhance the understanding of RDE combustion and aid future development/optimization of this technology. In the present work, a CFD model was developed to simulate a representative non-premixed RDE combustor at the US Air Force Research Laboratory (AFRL). To resolve the reacting flow in the combustor, a finite-rate chemistry model was employed. In addition, adaptive mesh refinement (AMR) was incorporated to achieve a good trade-off between model accuracy and computational expense. Unsteady Reynolds-Averaged Navier-Stokes (RANS) simulations were performed for the full combustor (including the separate fuel and air injection ports) geometry, with hydrogen as fuel and air as the oxidizer. A 10-species detailed kinetic mechanism was employed to describe the H2-Air combustion chemistry. Two different operating conditions were simulated, corresponding to the same global equivalence ratio of unity but different fuel and air mass flow rates. For both conditions, the capability of the model to capture the essential detonation wave dynamics was assessed. A validation study was performed against a wide variety of experimental data available on detonation wave frequency/height, reactant fill height, oblique shock angle, axial pressure distribution in the channel, and fuel/air plenum pressure. The CFD model predicted the sensitivity of all these wave characteristics to the operating conditions with good accuracy, both qualitatively and quantitatively. The present CFD model offers a potential capability to perform rapid design space exploration and/or performance optimization studies for realistic full-scale RDE configurations.

Cocks, Peter A.↗

Towards Predictive Reacting Flow LES

Grid dependency and the interaction of numerical errors with those from physical models can negatively impact the predictive capabilities of the traditional large eddy simulation (LES) approach. This paper attempts to address these issues for the simulation of turbulent reacting flows, where the canonical problem of a temporally evolving reacting jet is used as a test case. The impact of implicit and explicit filtering of the governing system of equations, and the impact of removing grid dependency from physical models through application of a constant filter width, is assessed. Four different grid resolutions are employed in the study. Differences are experienced in mean velocity and temperature profiles with grid resolution refinement when using the traditional implicit filtering approach, demonstrating the grid dependency of the obtained solutions. These differences are substantially mitigated by fixing the filter width used in physical models to a constant value, as the grid resolution is refined. Explicit filtering utilizing discrete filters reduces these differences even further, but to a smaller degree. This latter improvement comes at a very substantial computational cost. Higher Reynolds number cases need to be studied, where the LES resolution is far from that of a DNS, in order for a more conclusive assessment of the benefit of the explicit filtering approach to be made. However, even if explicit filtering is found to have a large positive impact on the predictive capabilities of reacting flow LES, its computational cost is likely to prevent it from being routinely applied to large, complex geometries, at least for the case where discrete filters are used.

Cocks, Peter A.↗