Research and prediction on the characteristics of cooling channels with bionic S-shaped rib-wall coupled design

Abstract

The flow and heat transfer of bionic S-shaped rib-wall coupled design cooling channels with different geometric parameters in turbine blades were studied by numerical simulation and artificial intelligence prediction. The effects of walls' different amplitudes and the phase difference between profiles of surrounding walls on the S-shaped ribs cooling channel performance are investigated. The results show that the amplitude mainly affects the overall heat transfer by altering the cooling air's maximum velocity, and the ribbed wall Nu/Nu0 increases with the amplitude increasing. The difference in phase angle of the channel's half period induces cooling air originally concentrated in the rib right channel to redistribute and distribute more evenly throughout the channel, thereby enhancing wall heat transfer. The ribbed wall Nu/Nu0 of the preferred scheme can be increased by 52.8 % at most. The heat transfer uniformity σ of the superior channel which is optimized by the neural network is only 30 % of the original channel.

Keywords

• S-shaped rib
• S-shaped wall
• Rib-wall coupled
• Heat transfer characteristics
• Machine learning