Particle image velocimetry to quantify 3D-flow properties of gas turbine forced mixers

Author(s):  
W. Scheuerpflug ◽  
N. Lawin
2018 ◽  
Vol 32 (12n13) ◽  
pp. 1840026 ◽  
Author(s):  
Wei-Cheng Chen ◽  
Keh-Chin Chang

Particle image velocimetry (PIV) is a non-intrusive optical diagnostic and must be made of the seedings (foreign particles) instead of the fluid itself. However, reliable PIV measurement of turbulence requires sufficient numbers of seeding falling in each interrogation window of image. A gray-level criterion is developed in this work to check the attainment of statistically stationary status of turbulent flow properties. It is suggested that the gray level of no less than 0.66 is used as the threshold for reliable PIV measurements in the present near-wake turbulent regions.


Author(s):  
Carol Eastwick ◽  
Stephen Hibberd ◽  
Kathy Simmons ◽  
Yi Wang ◽  
Ian Care ◽  
...  

Within the transmission system of a commercial gas turbine engine the lubrication and cooling of shaft bearings is performed by oil injected into bearing chambers that are typically sealed with air-pressurised labyrinth seals. The subsequent air/oil mixture is scavenged from the bearing chamber with the oil being re-used, whilst the air is discharged overboard via an air/oil separator. Efficiency of separators is becoming a high priority to industry, with any loss of oil an environmental concern. To help improve the design of separators a computational model was created of an existing design and coupled two-phase CFD calculations were performed. A limited amount of experimental data, collected by particle image velocimetry (PIV) was available for validation.


2015 ◽  
Vol 5 (1) ◽  
pp. 16-23 ◽  
Author(s):  
Yu Chen ◽  
Meng Guo ◽  
Yan Xiong ◽  
Wentao Jiang ◽  
Fei Yan ◽  
...  

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