Optimum aerodynamic design of centrifugal comPressor using a genetic algorithm and an inverse method based on meridional viscous flow analysis

Sasuga Itou, Nobuhito Oka, Masato Furukawa, Kazutoyo Yamada, Seiichi Ibaraki, Kenichiro Iwakiri, Yoshihiro Hayashi

Research output: Contribution to conferencePaper

Abstract

An optimum aerodynamic design method for centrifugal comPressor impeller has been developed. The present optimum design method is using a genetic algorithm (GA) and a two-dimensional inverse blade design method based on a meridional viscous flow analysis. In the meridional viscous flow analysis, an axisymmetric viscous flow is numerically analyzed on a two-dimensional meridional grid to determine the flow distribution around the impeller. Full and splitter blade effects to the flow field are successfully evaluated in the meridional viscous flow analysis by a blade force modeling. In the inverse blade design procedure, blade loading distribution is given as the design variable. In the optimization procedure, the total Pressure ratio and adiabatic efficiency obtained from the meridional viscous flow analysis are employed as objective functions. Aerodynamic performance and three-dimensional flow fields in the Pareto-optimum design and conventional design cases have been investigated by three-dimensional Reynolds averaged Navier-Stokes (3D-RANS) and experimental analyses. The analyses results show performance improvements and supPressions of flow separations on the suction surfaces in the optimum design cases. Therefore, the present aerodynamic optimization using the inverse method based on the meridional viscous flow analysis is successfully achieved.

Original languageEnglish
Publication statusPublished - Jan 1 2017
Event17th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery, ISROMAC 2017 - Maui, United States
Duration: Dec 16 2017Dec 21 2017

Conference

Conference17th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery, ISROMAC 2017
CountryUnited States
CityMaui
Period12/16/1712/21/17

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

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