A Loss Model System for Two-Dimensional Compressor Cascades of Modern Controlled Diffusion Airfoils
Source abstract
Abstract
The early design stage of modern compressors urgently requires high-accuracy, low-cost two-dimensional (2D) cascade loss prediction models. However, existing traditional loss models, predominantly based on early profile data, struggle to accurately predict the performance of modern Controlled Diffusion Airfoils (CDA). This study develops a comprehensive loss model system specifically for 2D cascades with modern CDA profiles. A numerical simulation database, encompassing the entire operating range of various subsonic, transonic, and supersonic profile designs, was first constructed to provide the data foundation for the model system development. Eight critical sub-models essential for the system were then identified based on an analysis of loss sources (including blade surface boundary layers and shock waves). A methodology combining physical mechanism analysis and data-driven techniques was applied to determine the final modeling scheme for each sub-model. Validation results demonstrate that within the parameter space covered by the database, the new model system achieves over 70% higher prediction accuracy compared to the traditional model system, with approximately 95% of prediction errors falling within ±0.02. It also accurately captures the variation trend of loss with incidence angle. The entire model system, consisting of a series of explicit formulas with clear physical meanings, can be easily integrated into compressor design processes and effectively support the design and analysis of airfoils during the preliminary stages of compressor development.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Turbomachinery Performance and Optimization · Model Reduction and Neural Networks · Bladed Disk Vibration Dynamics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Research Institute of Aero-Engine, Beihang University, Beijing 100191, China
National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics, Beihang University, Beijing 100191, China
School of Energy and Power Engineering, Beihang University, Beijing 100191, China
Funding
China Space Foundation
References (24)
Show source-provided references
1. Improving Compressor Preliminary Design with Physically Decomposed Loss Models10.1115/1.4069523 ↗
2. Guo, Z. (2020). The Study of Transition on Controlled Diffusion Airfoils Using Large Simulations, Shanghai Jiao Tong University.
3. Development of controlled diffusion airfoils for multistage compressor application10.1115/1.3239559 ↗
4. Comparison of controlled diffusion airfoils with conventional NACA 65 airfoils developed for stator blade application in a multistage axial compressor10.1115/1.3239758 ↗
5. The development of a second generation of controlled diffusion airfoils for multistage compressors10.1115/1.3262020 ↗
6. Loss and stall analysis of compressor cascades10.1115/1.4008481 ↗
7. Loss sources and magnitudes in axial-flow compressors10.1115/1.3446202 ↗
8. Aungier, R.H. (2003). Axial-Flow Compressors: A Strategy for Aerodynamic Design and Analysis, American Society of Mechanical Engineers.10.1115/1.801926 ↗
9. Shock losses in transonic compressor blade rows10.1115/1.3673182 ↗
10. An improved Streamline Curvature Approach for Off-Design Analysis of Transonic Axial Compression Systems10.1115/1.1565085 ↗
11. Wright, P.I., and Miller, D.C. (1991, January 19–20). Improved compressor performance prediction model. Proceedings of the European Conference on Turbomachinery, London, UK.
12. Shock loss model and blade profile optimization design of a supersonic cascade10.1177/0954410014550050 ↗
13. A comprehensive analytical shock loss model for axial compressor cascades10.1115/1.4053852 ↗
14. Hearsey, R.M. (1994). Program HT0300 NASA 1994 Version, The Boeing Company.
15. Research on Loss and Deviation Angle Model based on Multivariate Nonlinear Regression
16. Tao, C., Du, X., Ding, J., Luo, Y., and Wang, Z. (2021). Maximum thickness location selection of high subsonic axial compressor airfoils and its effect on aerodynamic performance. Front. Energy Res., 9.10.3389/fenrg.2021.791542 ↗
17. Fei, T. (2020). Investigation on through-flow analysis framework and empirical model improvement of high-load compressors. [Ph.D. Thesis, Beijing Institute of Technology].
18. A spanwise loss model for axial compressor stator based on machine learning10.1016/j.cja.2022.05.013 ↗
19. Shi, H. (2019). Study on Design Method of Super/Transonic Compressor Airfoil and Application, Beihang University.
20. Ning, F.F. (2002). Numerical Simulation of Internal Flows in Transonic Compressors with Actual Geometric Fidelity, Beihang University.
21. Creveling, H.F., and Carmody, R.H. (1968). Axial Flow Compressor Computer Program for Calculating off Design Performance (Program IV), NASA. NASA-CR-72427.
22. Analysis of the influence of inlet flow distortion on the off-design performance of fan/booster
23. Two-dimensional inflow conditions for a supersonic compressor with curved blades10.1115/1.4011491 ↗
24. Incidence and deviation-angle correlations for compressor cascades10.1115/1.3662666 ↗