Semiviscous Method for Compressor Performance Prediction

Autor: Magdy S. Attia
Rok vydání: 2005
Předmět:
Zdroj: Journal of Propulsion and Power. 21:792-796
ISSN: 1533-3876
0748-4658
DOI: 10.2514/1.14040
Popis: The performance prediction of the modern axial compressor is a vital step in the design and analysis process. Not only are accurate flow and efficiency predictions necessary, but also reliable radial and axial work distributions predictions are needed to verify the design, and more importantly, uncover problems. Furthermore, an accurate and consistent predictive system can minimize the need for testing, resulting in substantial savings. Although traditional S1S2 type systems are fast, they are limited in the transonic and subsonic regimes and are not very reliable often failing at or near the end walls. Multirow computational fluid dynamics (CFD) has come a long way, but also has its share of issues such as meshing, turbulence models, and mixing plane formulations. Furthermore, setup and turnaround time for a multistage compressor make multirow CFD less than efficient and often requiring “expert” users. This paper presents a simple, physically sound, reliable, and efficient method for predicting axial compressor performance using a combination of single-row CFD and streamline curvature (Throughflow) codes. The method has been developed and tested on several industrial multistage compressors of varying sizes and loadings. In each case, the prediction was well within the measurement accuracy.
Databáze: OpenAIRE