Abstract
The increased performance makes turbine blades suffer from more severe temperature loads. This puts higher demands on the cooling design. The multi-row film superposition characteristic is a very important part of cooling design on turbine blade. The film cooling superposition method of multi-row fan-shaped holes is validated on a turbine blade. The study compares experimentally measured and superimposed predicted cooling effectiveness, laterally-averaged η and area-averaged η on the blade in detail. The film superposition method is highly adaptive on the baseline (Model A). However, the deviation of the film superposition method increases on another layout (Model B, which has the same opening ratio) at M = 1.5. Therefore, numerical calculations were used to analyzed the inner mechanism of the film superposition characteristics. For Model B, the deviation of the film superposition prediction increases due to the stronger CRVP after increasing the number of rows. Therefore, a correction factor based on the numbers of rows of holes and Reynolds number (Red) was introduced to improve the accuracy of film superposition prediction. After experimental and numerical validation, this new method can predict the film superposition of blades with the same opening ratio.
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