Numerical prediction of aerodynamic performance for open geometry centrifugal compressor

Takahiro Kawahara, Nobuhiko Yamasaki

Research output: Contribution to journalConference articlepeer-review

Abstract

Numerical prediction of aerodynamic performance of compressors has been widely performed by the RANS model, but there is the tendency to overestimate the work and efficiency of the impeller of a centrifugal compressor. In the RANS, we cannot analyze unsteady phenomena such as tip leakage flow. On the other hand, the LES models universal region of turbulence by performing spatial filtering operations. Since it does not include the concept of time averaging, it can be applied to unsteady calculations. In this paper we perform numerical prediction of aerodynamic performance by the RANS with the Spalart-Allmaras turbulence model and the LES with the Smagorinsky model, and reveal the unsteady phenomena, which cannot be analyzed by the RANS, by comparing each result. The CFD solver that we use is UPACS, which JAXA (Japan Aerospace Exploration Agency) has developed. We clarify its prediction accuracy and problem points of UPACS. The geometry data of the centrifugal compressor that we analyze is published in the papers written by Krain. The compressor is equipped with impeller with 24 full blades and vaneless diffuser. Comparing computed characteristic curves of mass-averaged total pressure, using the LES improves the overestimation of the total pressure ratio by the RANS by 10%. It seems that the LES can analyze the unsteady phenomena which the RANS cannot.

Original languageEnglish
Article number012025
JournalJournal of Physics: Conference Series
Volume1509
Issue number1
DOIs
Publication statusPublished - May 6 2020
Event10th Asian-Pacific Conference on Aerospace Technology and Science, APCATS 2019 and the 4th Asian Joint Symposium on Aerospace Engineering, AJSAE 2019 - Hsin Chu, Taiwan, Province of China
Duration: Aug 28 2019Aug 31 2019

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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