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Uncertainty Analysis of Trench Film Cooling on Flat Plate by Chunhua Wang; Xiaokai Sun; Jingzhou Zhang is a Engineering article available to read on EtoBox.

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Uncertainty on operating and manufacturing conditions for gas turbines leads to a reduced knowledge of their behavior along with high risk of unexpected failures. This study presents quantification analysis of the impacts of geometric uncertainty on film cooling performance at the blowing ratio of 0.5 and 1.5, and a classical flat-plate model with trench hole is used for test case. Four geometric parameters including fillet radiuses and deviation angles of trench are selected as uncertain inputs, and it is assumed that these inputs follow truncated Gaussian distributions. Radial basis function neural network is used for surrogate model based on the CFD (Computational fluid dynamics) calculation results, and Monte Carlo simulation is applied to investigate statistical characteristics of the outputs. The uncertain analysis results show that the increase of the blowing ratio results in the increase of uncertain degree of adiabatic film cooling effectiveness, especially in the near-filed region. Furthermore, by sensitivity analysis, the impact of fillet radius of trench-trailing corner on film cooling performance is the greatest, while the impact of deviation angle of trench-leading ed

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Author

Chunhua Wang; Xiaokai Sun; Jingzhou Zhang

Publisher

Elsevier BV

Published

2019

Language

EN

Field

Engineering (Physical Sciences)