A Reduced-Order Model for Turbomachinery Flows Using Proper Orthogonal Decomposition Conference Paper uri icon

abstract

  • This paper presents the development of a reduced-order model based on the proper orthogonal decomposition (POD) method. The POD method has been developed to predict turbomachinery flows modeled by the Reynolds-averaged NavierStokes equations. The purpose of using a POD-based reduced-order model is to decrease the computational cost of turbomachinery flows. The POD model has been tested for two configurations: a canonical channel with a bump case and the transonic NASA Rotor 67 case. The Rotor 67 case has been simulated at design wheel speed and at three off-design conditions: 70, 80, and 90% of the wheel speed. The results of the POD-based reduced-order model where in excellent agreement with the full-order model results. The computational time of the reduced-order model was approximately one order of magnitude smaller than that of the full-order model.

name of conference

  • ASME Turbo Expo 2013: Turbine Technical Conference and Exposition

published proceedings

  • Volume 6B: Turbomachinery

author list (cited authors)

  • Brenner, T. A., Carpenter, F. L., Freno, B. A., & Cizmas, P

complete list of authors

  • Brenner, Thomas A||Carpenter, Forrest L||Freno, Brian A||Cizmas, Paul GA

publication date

  • January 1, 2013 11:11 AM