Session: 15-07 Numerical Studies of Internal Cooling

Paper Number: 124237

124237 - Investigation of Predictive Methods for Flow Resistance in Channel With Asymmetric Rib Arrangements Under Rotating Condition 

The cooling requirements for turbine blade pressure side and suction side vary significantly. To optimize blade cooling and make the most use of the cold air, an innovative asymmetric ribbed channel design method has been introduced. Predicting resistance is a critical challenge in designing rotating asymmetric channel. In this paper, we separate the flow resistance coefficients for each surface within the rotating channel and employ machine learning to predict the coefficients for asymmetric ribbed channels. Our study delves into the flow and resistance characteristics of channels with varying rib spacings, all with a rib height to hydraulic diameter ratio (e:D) of 0.1, under conditions of Re=0-50000, Ro=0-0.4. The findings reveal a significant source of error when simply summing surface resistance coefficients, particularly when dealing with small rib spacings (p:e), where errors can reach as high as 28.2%. This error becomes more pronounced as Re increasing, which arises from the non-negligible coupling effect of flow between double-sided ribbed surfaces. In our research, we leverage machine learning to address this coupling effect between double-sided surfaces, iteratively refining the prediction method for asymmetric ribbed channel. Ultimately, this approach achieves a prediction error of less than 2% within the defined scope of our study.

Presenting Author: Yunteng Xu Reserach Institute of Areo-Engine, Beihang University

Presenting Author Biography: Graduated with a Bachelor's degree in Aircraft Power Engineering from the School of Energy and Power Engineering at Beihang University in 2022. Subsequently, began pursuing a M.S. degree in Engineering Thermophysics at Research Institute of Aero-Engine at Beihang University.

Authors:

Yunteng Xu Reserach Institute of Areo-Engine, Beihang University
Ruquan You Reserach Institute of Areo-Engine, Beihang University
Junxin Che Reserach Institute of Areo-Engine, Beihang University
Haiwang Li Reserach Institute of Areo-Engine, Beihang University