Open Access
E3S Web Conf.
Volume 345, 2022
XXV Biennial Symposium on Measuring Techniques in Turbomachinery (MTT 2020)
Article Number 01013
Number of page(s) 8
Section Instrumentation
Published online 29 March 2022
  1. M. P. Wernet, Application of DPIV to study both steady state and transient turbomachinery flows, Opt. Laser Technol. 32, pp. 497-525 (2000). [CrossRef] [Google Scholar]
  2. N. Balzani, F. Scarano, M. L. Riethmuller, F. A. E. Breugelmans, Experimental Investigation of the Blade-to-Blade in a Compressor Rotor by Digital Particle Image Velocimetry, ASME J. Turbomach. 122, 743 (2000) [CrossRef] [Google Scholar]
  3. A. J. Sanders, J. Papalia, S. Fleeter, MultiBlade Row Interactions in a Transonic Axial Compressor: Part I – Stator Particle Image Velocimetry (PIV) Investigation, ASME J. Turbomach. 124 (2002) [Google Scholar]
  4. O. Uzol, Y. C. Chow, J. Katz, C. Meneveau, Experimental Investigation of Unsteady Flow Field Within a Two-Stage Axial Turbomachine Using Particle Image Velocimetry, ASME J. Turbomach. 124 (2002) [Google Scholar]
  5. B. Liu, H. Wang, H. Liu, H. Yu, H. Jiang, M. Chen, Experimental Investigation of Unsteady Field in the Tip Region of an Axial Compressor Rotor Passage at Near Stall Condition with Stereoscopic Particle Image Velocimetry, ASME J. Turbomach. 126, 360 (2004) [CrossRef] [Google Scholar]
  6. E. Göttlich, J. Woisetschläger, P. Pieringer, B. Hampel, F. Heitmeir, Investigation of Vortex Shedding and Wake-Wake Interaction in a Transonic Turbine Stage using LaserDoppler-Velocimetry and Particle Image Velocimetry, ASME paper GT2005-68579. [Google Scholar]
  7. W. J. Zang, A. K. Prasad, Performance Evaluation of a Scheimpflug Stereocamera for Particle Image Velocimetry, Appl. Opt., 36, 8738-8744 (1997). [CrossRef] [Google Scholar]
  8. A. K. Prasad, Stereoscopic Particle Image Velocimetry, Exp. Fluids, 29, pp. 103-116 (2000). [CrossRef] [Google Scholar]
  9. C. J. Kähler, B. Sammler, J. Kompenhans, Generation and Control of Tracer Particles for Optical Flow Investigations in Air, Exp. Fluids, 33, pp. 736-742 (2002). [Google Scholar]
  10. A. Mellin, Tracer Particles and Seeding for Particle Image Velocimetry, Meas. Sci. Technology 8, pp. 1496-1416 (1997). [Google Scholar]
  11. J. Westerweel, D. Dabiri, M. Gharib, The Effect of a Discrete Window Offset on the Accuracy of Cross-Correlation Analysis of Digital PIV Recordings, Exp. Fluids, 23, pp. 20-28 (1997) [CrossRef] [Google Scholar]
  12. F. Scarano, M. L. Riethmuller, Iterative Multigrid Approach in PIV Image Processing with Discrete Window Offset, Exp. Fluids, 26, pp. 513-523 (1999). [CrossRef] [Google Scholar]
  13. J. Westerweel, Efficient Detection of Spurious Vectors in Particle Image Velocimetry, Exp. Fluids, 16, pp. 237-24 (1994). [Google Scholar]
  14. M. Raffel, C. Willert, J. Kompenhans, Particle Image Velocimetry – A Practical Guide, Berlin Springer (1998) [CrossRef] [Google Scholar]
  15. C. E. Willert, M. Gharib, Digital particle image velocimetry, Exp. Fluids, 10, pp. 181-193 [Google Scholar]
  16. R. D. Keane, R. J. Adrian, Theory of cross correlation analysis of PIV images, Appl. Sci. Res., pp.191-215 (1992). [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.