Unsteady Computational Fluid Dynamics Investigation of Effusion Cooling Process in a Lean Burn Aero-Engine Combustor
| Autor: | Alessio Picchi, Antonio Andreini, I. Vitale, Lorenzo Mazzei, Bruno Facchini |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Materials science
business.industry 020209 energy Mechanical Engineering Process (computing) Energy Engineering and Power Technology Aerospace Engineering Mechanical engineering 02 engineering and technology Computational fluid dynamics Aero engine 01 natural sciences 010305 fluids & plasmas Fuel Technology Nuclear Energy and Engineering Effusion 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Combustor business Lean burn |
| Zdroj: | Journal of Engineering for Gas Turbines and Power. 139 |
| ISSN: | 1528-8919 0742-4795 |
| Popis: | This work describes the main findings of a computational fluid dynamics (CFD) analysis intended to accurately investigate the flow field and wall heat transfer as a result of the mutual interaction between a swirling flow generated by a lean burn injection system and a slot–effusion liner cooling system. In order to overcome some limitations of Reynolds-averaged Navier–Stokes (RANS) approach, the simulations were performed with shear stress transport (SST)–scale-adaptive simulation (SAS), a hybrid RANS–large eddy simulation (LES) model. Moreover, the significant computational effort due to the presence of more than 600 effusion holes was limited exploiting two different modeling strategies: a homogeneous model based on the application of uniform boundary conditions on both aspiration and injection sides, and another solution that provides a coolant injection through point mass sources within a single cell. CFD findings were compared to experimental results coming from an investigation carried out on a three-sector linear rig. The comparison pointed out that advanced modeling strategies, i.e., based on discrete mass sources, are able to reproduce the effects of mainstream–coolant interactions on convective heat loads. By validating the approach through a benchmark against time-averaged quantities, the transient data acquired were examined in order to better understand the unsteady behavior of the thermal load through a statistical analysis, providing useful information with a design perspective. |
| Databáze: | OpenAIRE |
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