Open Access
MATEC Web Conf.
Volume 345, 2021
20th Conference on Power System Engineering
Article Number 00006
Number of page(s) 7
Published online 12 October 2021
  1. E. J. List, Turbulent jets and plumes, Annual Review of Fluid Mechanics 14, 189–212 (1982), DOI: 10.1146/annurev.fl.14.010182.001201 [CrossRef] [Google Scholar]
  2. D. Duda, V. Uruba, Spatial spectrum from Particle Image Velocimetry data, Journal of Nuclear Engineering and Radiation Science, 5, 031901 (2019), DOI: 10.1115/1.4043319 [Google Scholar]
  3. E. Amromin, Analysis of vortex core in steady turbulent flow, Physics of Fluids 19, 118108 (2007); DOI: 10.1063/1.2813045 [CrossRef] [Google Scholar]
  4. J. M. Redondo, A. K. Platonov, Self-similar distribution of oil spills in European coastal waters, Environmental Research Letters, 4, 014008 (2009), DOI: 10.1088/17489326/4/1/014008 [CrossRef] [Google Scholar]
  5. Inkinen, S., Hakkarainen, M., Albertsson, A., Södergoard, A. From lactic acid to poly(lactic acid) (pla): Characterization and analysis of pla and its precursors. Biomacromolecules 12, 523–532 (2011) DOI: 10.1021/bm101302t. [CrossRef] [Google Scholar]
  6. Alsoufi, M.S., Elsayed, A.E., 2018. Surface roughness quality and dimensional accuracy - a comprehensive analysis of 100per-sonal/desktop cost-effective FDM 3D printer. Materials Sciences and Applications 09, 11–40. DOI: 10.4236/msa.2018.91002. [CrossRef] [Google Scholar]
  7. Zhang, C., Zhao, H., Gu, F., Ma, Y., 2015. Phase unwrapping algorithm based on multi-frequency fringe projection and fringe background for fringe projection profilometry. Measurement Science and Technology 26. DOI: 10.1088/0957-0233/26/4/045203. [Google Scholar]
  8. Mendricky, R., 2016. Determination of measurement accuracy of optical 3d scanners. MM Science Journal 2016, 1565–1572. DOI: 10.17973/MMSJ.2016_12_2016183. [Google Scholar]
  9. Vagovsky, J., Buransky, I., Görög, A., 2015. Evaluation of measuring capability of the optical 3d scanner, in: Procedia Engineering, pp. 1198–1206. DOI: 10.1016/j.proeng.2015.01.484. [CrossRef] [Google Scholar]
  10. Tropea, C., Yarin, A., Foss, J.F., 2007. Springer Handbook of Experimental Fluid Mechanics. Springer, Heidelberg, DE. [Google Scholar]
  11. V. Kopecky, Laserová anemometrie v mechanice tekutin (2008) [Google Scholar]
  12. D. Duda, V. Uruba, PIV of air flow over a step and discussion of fluctuation decompositions, AIP Conference Proceedings, 2000, 1, 020005 (2018) DOI: 10.1063/1.5049912 [CrossRef] [Google Scholar]
  13. J. Nikuradse, Untersuchungen über die Geschwindigkeitsverteilung in Turbulenten Strijmungen (Ph.D. thesis), Univesty of Götingen, Götingen, 1926. [Google Scholar]
  14. Z. Wang, N. Cheng, Time-mean structure of secondary flows in open channel with longitudinal bedforms, Adv. Water Resour. 29 (11) (2006) 1634–1649, DOI: 10.1016/j.advwatres.2005.12.002. [CrossRef] [Google Scholar]
  15. M. Uhlmann, A. Pinelli, G. Kawara and A. Sekimoto, Marginally turbulent flow in a square duct, J. Fluid Mech. 588: 153–162 (2007) DOI: 10.1017/S0022112007007604 [CrossRef] [Google Scholar]
  16. D. Duda, J. Béma, V. Yanovych, P. Pavlicek, V. Uruba, Secondary flow of second kind in a short channel observed by PIV, European Journal of Mechanics / B Fluids 79, 444–453 (2020), DOI: 10.1016/j.euromechflu.2019.10.005 [Google Scholar]
  17. D. Duda, M. La Mantia and L. Skrbek, Streaming flow due to a quartz tuning fork oscillating in normal and superfluid He 4, Physical Review B 96 (2) 024519 (2017) DOI: 10.1103/PhysRevB.96.024519 [Google Scholar]
  18. J. Bém, D. Duda, J. Kovafik, V. Yanovych, V. Uruba, Visualization of Secondary Flow in a Corner of a Channel, AIP Conference Proceedings 2189, 020003 (2019), DOI: 10.1063/1.5138615 [CrossRef] [Google Scholar]
  19. E. O. Schulz-DuBois and I. Rehberg, Structure function in lieu of correlation function, Applied Physics 24: 323–329 (1981) [NASA ADS] [CrossRef] [Google Scholar]
  20. C. E. Cala, E. C. Fernandes, M. V. Heitor, S. I. Shtork, Coherent structures in unsteady swirling jet flow, Experiments in Fluids volume 40, 267–276 (2006), DOI: 10.1007/s00348-005-0066-9 [CrossRef] [Google Scholar]
  21. D. Duda, The PIV study of air flow past the counter-swirler 53983, MATEC Web of Conferences 168, 05004 (2018), DOI: 10.1051/matecconf/201816805004 [CrossRef] [EDP Sciences] [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.