High Resolution Experimental and Computational Methods for Modelling Multiple Row Effusion Cooling Performance†
AbstractThe continuing rise in turbine entry temperatures has necessitated the development of ever-more advanced cooling techniques. Effusion cooling is an example of such a system and is characterised by a high density of film cooling holes that operate at low blowing ratios, thereby achieving high overall cooling effectiveness. This paper presents both an experimental and computational investigation into the cooling performance of effusion systems. Two flat-plate geometries (with primary hole pitches of 3.0D and 5.75D) are experimentally investigated via a pressure sensitive paint technique yielding high resolution film effectiveness distributions via heat-mass transfer analogy. A computational fluid dynamics (CFD) scalar tracking method was used to model the setup computationally with the results comparing favourably to those obtained from the experiments. The CFD domain was modified to assess the cooling performance from a single film hole ejection. A superposition method was developed and applied to the resulting two-dimensional film effectiveness distribution that quickly yielded data for an array of closely-packed holes, allowing a rapid assessment of a multi-hole effusion type setup. The method produced satisfactory results at higher pitches, but at lower pitches, high levels of jet interactions reduced the performance of the superposition method. View Full-Text
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Murray, A.V.; Ireland, P.T.; Wong, T.H.; Tang, S.W.; Rawlinson, A.J. High Resolution Experimental and Computational Methods for Modelling Multiple Row Effusion Cooling Performance. Int. J. Turbomach. Propuls. Power 2018, 3, 4.
Murray AV, Ireland PT, Wong TH, Tang SW, Rawlinson AJ. High Resolution Experimental and Computational Methods for Modelling Multiple Row Effusion Cooling Performance. International Journal of Turbomachinery, Propulsion and Power. 2018; 3(1):4.Chicago/Turabian Style
Murray, Alexander V.; Ireland, Peter T.; Wong, Tsun H.; Tang, Shaun W.; Rawlinson, Anton J. 2018. "High Resolution Experimental and Computational Methods for Modelling Multiple Row Effusion Cooling Performance." Int. J. Turbomach. Propuls. Power 3, no. 1: 4.