Paper Info
Title
Visualization And Analysis Of Rotating Stall For Transonic Jet Engine Simulation
Abstract
Identification of early signs of rotating stall is essential for the study of turbine engine stability. With recent advancements of high performance computing. high-resolution unsteady flow fields allow in depth exploration of rotating stall and its possible causes. Performing stall analysis, however, involves significant effort to process large amounts of simulation data, especially when investigating abnormalities across many time steps. In order to assist scientists during the exploration process, we present a visual analytics framework to identify suspected spatiotemporal regions through a comparative visualization so that scientists are able to focus on relevant data in more detail. To achieve this, we propose efficient stall analysis algorithms derived from domain knowledge and convey the analysis results through juxtaposed interactive plots. Using our integrated visualization system, scientists can visually investigate the detected regions for potential stall initiation and further explore these regions to enhance the understanding of this phenomenon. Positive feedback from scientists demonstrate the efficacy of our system in analyzing rotating stall.
Year
DOI
Venue
2016
10.1109/TVCG.2015.2467952
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Keywords
Field
DocType
Turbine flow visualization, vortex extraction, anomaly detection, juxtaposition, brushing and linking, time series
Data modeling,Data mining,Computer science,Stall (fluid mechanics),Visual analytics,Control engineering,Artificial intelligence,Computer vision,Data visualization,Brushing and linking,Domain knowledge,Visualization,Jet engine
Journal
Volume
Issue
ISSN
22
1
1077-2626
Citations 
PageRank 
References 
3
0.39
19
Authors
6
Name
Order
Citations
PageRank
Chun-Ming Chen1946.54
Soumya Dutta210010.26
Xiaotong Liu39110.11
Gregory Heinlein430.39
Han-Wei Shen52204148.60
Jen-Ping Chen6242.51