Large-scale time-resolved digital particle image velocimetry (TR-DPIV) for measurement of high subsonic hot coaxial jet exhaust of a gas turbine engine

The development of a highly configurable triple digital particle image velocimetry (DPIV) system is described, which is capable of acquiring both continuous, statistically independent measurements at up to 14 Hz and time-resolved PIV data at MHz rates. The system was used at QinetiQ's Noise Test Facility (NTF) as part of the EU-funded CoJeN programme to obtain measurements from high subsonic (Mach ≤ 0.9), hot (~500 °C), large (1/10th) scale coaxial jet flows at a standoff distance of ~1 m. High-resolution time-averaged velocity and turbulence data were obtained for complete coaxial engine exhaust plumes down to 4 m (20 jet diameters) from the nozzle exit in less than 1 h. In addition, the system allowed volumetric data to be obtained, enabling fast assessment of spatial alignment of nozzle configurations. Furthermore, novel six-frame time-series data-capture is demonstrated up to 330 kHz, used to calculate time–space correlations within the exhaust, allowing for study of spatio-temporal developments in the jet, associated with jet-noise production. The highly automated system provides synchronization triggers for simultaneous acquisition from different measurement systems (e.g. LDA) and is shown to be versatile, rugged, reliable and portable, operating remotely in a hostile environment. Data are presented for three operating conditions and two nozzle geometries, providing a database to be used to validate CFD models of coaxial jet flow.

[1]  Sebastien Coudert,et al.  Back-projection algorithm with misalignment corrections for 2D3C stereoscopic PIV , 2001 .

[2]  M. Lighthill.  On sound generated aerodynamically I. General theory , 1952, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[3]  Andrew Skeen.  The development of high-speed PIV techniques and their application to jet noise measurement , 2006 .

[4]  D. Honoré,et al.  Time-resolved particle image velocimetry in confined bluff-body burner flames , 2000 .

[5]  Yi-Ping Hung,et al.  Simple and efficient method of calibrating a motorized zoom lens , 2001, Image Vis. Comput..

[7]  G. J. Skoch,et al.  Demonstration of a stabilized alumina/ethanol colloidal dispersion technique for seeding high temperature air flows , 1995, ICIASF '95 Record. International Congress on Instrumentation in Aerospace Simulation Facilities.

[8]  Toshio Kobayashi,et al.  Dual-plane stereoscopic particle image velocimetry: system set-up and its application on a lobed jet mixing flow , 2001 .

[9]  Jürgen Kompenhans,et al.  Fundamentals of multiple plane stereo particle image velocimetry , 2000 .

[10]  J. Nogueira,et al.  Data validation, false vectors correction and derived magnitudes calculation on PIV data , 1997 .

[11]  A. Melling.  Tracer particles and seeding for particle image velocimetry , 1997 .

[12]  Mark P. Wernet,et al.  Temporally resolved PIV for space–time correlations in both cold and hot jet flows , 2007 .

[13]  G. Hargrave,et al.  The development of high-speed particle image velocimetry (20 kHz) for large eddy simulation code refinement in bluff body flows , 2003 .

[14]  M. Michard,et al.  Space-time correlations in two subsonic jets using dual-PIV measurements , 2007 .

[15]  Ludovic Chatellier,et al.  Spatio-temporal correlation analysis of turbulent flows using global and single-point measurements , 2005 .

[16]  Hiroshi Kawanabe,et al.  Gas-flow measurements in a jet flame using cross-correlation of high-speed-particle images , 2000 .

[17]  Eric Loth,et al.  Cinematic particle image velocimetry of high-Reynolds-number turbulent free shear layer , 1996 .

[18]  Richard D. Keane,et al.  Optimization of particle image velocimeters. I, Double pulsed systems , 1990 .