Volume 6: Turbo Expo 2007, Parts a and B 2007
DOI: 10.1115/gt2007-27926
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Pre-Stall Behavior of a Transonic Axial Compressor Stage via Time-Accurate Numerical Simulation

Abstract: CFD calculations using high-performance parallel computing were conducted to simulate the pre-stall flow of a transonic compressor stage, NASA compressor Stage 35. The simulations were run with a full-annulus grid that models the 3-D, viscous, unsteady blade row interaction without the need for an artificial inlet distortion to induce stall. The simulation demonstrates the development of the rotating stall from the growth of instabilities. Pressure-rise performance and pressure traces are compared with publish… Show more

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Cited by 24 publications
(7 citation statements)
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“…In addition, the hypothesis that the stall is initiated by the LE spillage of the interface is strongly supported by numerical and experimental results. 1518 The phenomena of the backflow at the TE plane are also observed in the stall process. 18,1921 Hoying et al.…”
Section: Introductionmentioning
confidence: 97%
“…In addition, the hypothesis that the stall is initiated by the LE spillage of the interface is strongly supported by numerical and experimental results. 1518 The phenomena of the backflow at the TE plane are also observed in the stall process. 18,1921 Hoying et al.…”
Section: Introductionmentioning
confidence: 97%
“…There are many computational efforts in simulating the stallinception process in axial compressors [17][18][19][20], each of which possesses different approaches with their own research goals. For example, in the most recent work of Davis and Yao [20], a timeaccurate single-blade-passage multiblade-row strategy is used to simulate the high-frequency unsteadiness due to self-excited flow at scales of the blade passage and rotor tip clearance as well as lowfrequency unsteadiness due to longitudinal system modes.…”
Section: Computational Approachmentioning
confidence: 99%
“…It is not unexpected that unsteady numerical simulation of a stalled compressor requires a great deal of computational resources. Chen and Hathaway [17] presented such an example, in which the simulations were run on an IBM P4 cluster at the Naval Oceanographic Office Major Shared Resource Center using 328 CPUs with 24 h (wall clock) computation time for one rotor revolution. There are 94 blade passages for the entire grid, with a total of 67 million grid points.…”
Section: Computational Approachmentioning
confidence: 99%
“…modal-and spike-type stall inception. In the case of transonic compressors, Chen et al 13 and Gannon et al 14 find a combination of modal-and spike-type stall inception.…”
Section: Introductionmentioning
confidence: 99%