Reduced-Order Model of Unsteady Flows in a Turbomachinery Fan Modeled Using a Novel Proper Orthogonal Decomposition Conference Paper uri icon


  • Abstract This paper presents a novel, more efficient reduced-order model based on the proper orthogonal decomposition (POD) for the prediction of flows in turbomachinery. To further reduce the computational time, the governing equations were written as a function of specific volume instead of density. This allowed for the pre-computation of the coefficients of the system of ordinary differential equations that describe the reduced-order model. A penalty method was developed to implement time-dependent boundary conditions and achieve a stable solution for the reduced-order model. Rotor 67 was used as a validation case for the reduced-order model, which was tested for both on- and off-reference conditions. This reduced-order model was shown to be more than 10,000 times faster than the full-order model.

name of conference

  • ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition

published proceedings

  • Volume 2C: Turbomachinery

author list (cited authors)

  • Krath, E. H., Carpenter, F. L., Cizmas, P., & Johnston, D. A.

complete list of authors

  • Krath, Elizabeth H||Carpenter, Forrest L||Cizmas, Paul GA||Johnston, David A

publication date

  • January 1, 2019 11:11 AM