TY - JOUR
T1 - 基于一维模型的跨声速轴流压气机特性预测研究
AU - Wang, He Jian
AU - Liu, Bo
AU - Zhang, Bo Tao
N1 - Publisher Copyright:
© 2021, Editorial Department of Journal of Propulsion Technology. All right reserved.
PY - 2021/6
Y1 - 2021/6
N2 - In order to develop a more accurate and fast program for characteristic calculation of present multi-stage transonic axial-flow compressors, a suitable reference incidence angle model was selected, and a design/off-design point deviation angle model suitable for large-camber, double-arc blade profile was established. Thereafter, the experimental data of a large camber plane cascade under multiple working conditions were used to verify the newly established deviation angle model, and the incidence angle model and deviation angle model were embedded in the HARIKA algorithm to realize the replacement of original model in the HARIKA algorithm. In addition, the newly established HARIKA algorithm and the three-dimensional numerical calculation software NUMECA were used to calculate the characteristics of a two-stage transonic axial compressor at design / off-design speeds. Finally, the results show that the values calculated by the deviation angle model established in this paper are in good agreement with the experimental values for the deviation angle of the airflow at cascade outlet, with an average error of 0.42°, which is small. The characteristic prediction results of the new HARIKA algorithm for the compressor are closer to the experimental values than the three-dimensional numerical calculation results. The maximum prediction error of the pressure ratio is 2.54%, the maximum prediction error of the efficiency is 3.68%, and the overall prediction error is small. Based on these results, it can be seen clearly that the off-design point deviation angle model established in this paper has certain accuracy and applicability, and the improved HARIKA algorithm has certain engineering practicability in characteristic prediction of multi-stage transonic axial-flow compressors.
AB - In order to develop a more accurate and fast program for characteristic calculation of present multi-stage transonic axial-flow compressors, a suitable reference incidence angle model was selected, and a design/off-design point deviation angle model suitable for large-camber, double-arc blade profile was established. Thereafter, the experimental data of a large camber plane cascade under multiple working conditions were used to verify the newly established deviation angle model, and the incidence angle model and deviation angle model were embedded in the HARIKA algorithm to realize the replacement of original model in the HARIKA algorithm. In addition, the newly established HARIKA algorithm and the three-dimensional numerical calculation software NUMECA were used to calculate the characteristics of a two-stage transonic axial compressor at design / off-design speeds. Finally, the results show that the values calculated by the deviation angle model established in this paper are in good agreement with the experimental values for the deviation angle of the airflow at cascade outlet, with an average error of 0.42°, which is small. The characteristic prediction results of the new HARIKA algorithm for the compressor are closer to the experimental values than the three-dimensional numerical calculation results. The maximum prediction error of the pressure ratio is 2.54%, the maximum prediction error of the efficiency is 3.68%, and the overall prediction error is small. Based on these results, it can be seen clearly that the off-design point deviation angle model established in this paper has certain accuracy and applicability, and the improved HARIKA algorithm has certain engineering practicability in characteristic prediction of multi-stage transonic axial-flow compressors.
KW - Characteristic calculation
KW - Deviation angle model
KW - HARIKA algorithm
KW - Large camber plane cascade
KW - Transonic axial compressor
UR - http://www.scopus.com/inward/record.url?scp=85108104788&partnerID=8YFLogxK
U2 - 10.13675/j.cnki.tjjs.190858
DO - 10.13675/j.cnki.tjjs.190858
M3 - 文章
AN - SCOPUS:85108104788
SN - 1001-4055
VL - 42
SP - 1256
EP - 1264
JO - Tuijin Jishu/Journal of Propulsion Technology
JF - Tuijin Jishu/Journal of Propulsion Technology
IS - 6
ER -