TY - JOUR
T1 - Multidisciplinary design optimization of twin-web turbine disk with pin fins in inner cavity
AU - Li, Lei
AU - Tang, Zhonghao
AU - Li, Honglin
AU - Tong, Fujuan
AU - Gao, Wenjing
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/10
Y1 - 2019/10
N2 - To enhance convective heat transfer and reduce the working temperature, a novel twin-web turbine disk with staggered pin fins arranged in the inner cavity and near the outlet is developed. Compared to the traditional single web turbine disk, the numerical analysis result shows that the maximum temperature of the disk and the region with the maximum temperature at the disk rim decrease, and the low-temperature region at the twin-web increases. Considering the convective heat transfer analysis, a strength analysis with temperature interpolation by the inverse distance-weighted average method and a multidisciplinary analysis of the novel twin-web turbine disk are implemented. A Pareto analysis shows that the diameter and radial distance of the pin fin significantly affect the temperature and stress of the turbine disk. Based on the kriging model, the multidisciplinary design optimization of the novel turbine disk is performed, in which the optimization objectives are the minimum weight and minimum temperature obtainable under the stress constraints. The optimal result reduces the mass of the turbine disk and improves its temperature and structural stress, which has potential applications in high-performance aero engines.
AB - To enhance convective heat transfer and reduce the working temperature, a novel twin-web turbine disk with staggered pin fins arranged in the inner cavity and near the outlet is developed. Compared to the traditional single web turbine disk, the numerical analysis result shows that the maximum temperature of the disk and the region with the maximum temperature at the disk rim decrease, and the low-temperature region at the twin-web increases. Considering the convective heat transfer analysis, a strength analysis with temperature interpolation by the inverse distance-weighted average method and a multidisciplinary analysis of the novel twin-web turbine disk are implemented. A Pareto analysis shows that the diameter and radial distance of the pin fin significantly affect the temperature and stress of the turbine disk. Based on the kriging model, the multidisciplinary design optimization of the novel turbine disk is performed, in which the optimization objectives are the minimum weight and minimum temperature obtainable under the stress constraints. The optimal result reduces the mass of the turbine disk and improves its temperature and structural stress, which has potential applications in high-performance aero engines.
KW - Aero engine
KW - Multidisciplinary design optimization
KW - Staggered pin fins
KW - Twin-web turbine disk
UR - http://www.scopus.com/inward/record.url?scp=85069745944&partnerID=8YFLogxK
U2 - 10.1016/j.applthermaleng.2019.114104
DO - 10.1016/j.applthermaleng.2019.114104
M3 - 文章
AN - SCOPUS:85069745944
SN - 1359-4311
VL - 161
JO - Applied Thermal Engineering
JF - Applied Thermal Engineering
M1 - 114104
ER -