Show simple item record

contributor authorLou, Fangyuan
contributor authorKey, Nicole L.
date accessioned2022-02-06T05:53:09Z
date available2022-02-06T05:53:09Z
date copyright4/26/2021 12:00:00 AM
date issued2021
identifier issn0889-504X
identifier otherturbo_143_8_081002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278980
description abstractThe flow field in a compressor is circumferentially non-uniform due to the wakes from upstream stators, the potential field from both upstream and downstream stators, and blade row interactions. This non-uniform flow impacts stage performance as well as blade forced vibrations. Historically, experimental characterization of the circumferential flow variation is achieved by circumferentially traversing either a probe or the stator rows. This involves the design of complex traverse mechanisms and can be costly. To address this challenge, a novel method is proposed to reconstruct compressor non-uniform circumferential flow field using spatially under-sampled data points from a few probes at fixed circumferential locations. The paper is organized into two parts. In the present part of the paper, details of the multi-wavelet approximation for the reconstruction of circumferential flow and use of the particle swarm optimization algorithm for selection of probe positions are presented. Validation of the method is performed using the total pressure field in a multi-stage compressor representative of small core compressors in aero engines. The circumferential total pressure field is reconstructed from eight spatially distributed data points using a triple-wavelet approximation method. Results show good agreement between the reconstructed and the true total pressure fields. Also, a sensitivity analysis of the method is conducted to investigate the influence of probe spacing on the errors in the reconstructed signal.
publisherThe American Society of Mechanical Engineers (ASME)
titleReconstructing Compressor Non-Uniform Circumferential Flow Field From Spatially Undersampled Data—Part 1: Methodology and Sensitivity Analysis
typeJournal Paper
journal volume143
journal issue8
journal titleJournal of Turbomachinery
identifier doi10.1115/1.4050433
journal fristpage081002-1
journal lastpage081002-10
page10
treeJournal of Turbomachinery:;2021:;volume( 143 ):;issue: 008
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record