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Image analysis framework for hydraulic mixing

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study is focused on the image analysis of motionless hydraulic mixing process, for which pressure changes were the driving force. To improve the understanding of hydraulic mixing, mixing efficiency was assessed with dye introduction, which resulted in certain challenges. In order to overcome them, the framework and methodology consisting of three main steps were proposed and applied to an experimental case study. The experiments were recorded using a camera and then processed according to the proposed framework and methodology. The main outputs from the methodology which were based only on the recorded movie were liquid heights and colour changes during the process time. In addition, considerable attention has also been given to issues related to other colour systems and the hydrodynamic description of the process.
Rocznik
Strony
3–--21
Opis fizyczny
Bibliogr. 19 poz., tab., rys.
Twórcy
  • Poznan University of Technology, Department of Chemical Engineering and Equipment, Berdychowo 4, 60-965 Poznan, Poland
  • Poznan University of Technology, Department of Chemical Engineering and Equipment, Berdychowo 4, 60-965 Poznan, Poland
  • Poznan University of Technology, Department of Chemical Engineering and Equipment, Berdychowo 4, 60-965 Poznan, Poland
  • Poznan University of Technology, Department of Chemical Engineering and Equipment, Berdychowo 4, 60-965 Poznan, Poland
Bibliografia
  • 1. Afshari-Jouybari H., Farahnaky A., 2011. Evaluation of Photoshop software potential for food colorimetry. J. Food Eng., 106, 170–175. DOI: 10.1016/j.jfoodeng.2011.02.034.
  • 2. Bellard F., 2015. FFmpeg. A complete, cross-platform solution to record, convert and stream audio and video. Available at: http://ffmpeg.org/.
  • 3. Bishop M.D., 1992. Converter to convert a computer graphics signal to an interlaced video signal. US5455628A.
  • 4. Bratkova M., Boulos S., Shirley P., 2009. oRGB: A practical opponent color space for computer graphics. IEEE Comput. Graphics Appl., 29, 42–55. DOI: 10.1109/mcg.2009.13.
  • 5. Cabaret F., Bonnot S., Fradette L., Tanguy P.A., 2007. Mixing time analysis using colorimetric methods and image processing. Ind. Eng. Chem. Res., 2007, 46, 14, 5032–5042. DOI: 10.1021/ie0613265.
  • 6. Eliceiri K.W., Rueden C., 2005. Invited review tools for visualizing multidimensional images from living specimens. Photochem. Photobiol., 81, 1116-1122. DOI: 10.1562/2004-11-22-IR-377.
  • 7. Ferreira T., Rasband W., 2012. ImageJ User Guide. IJ 1.46r. Available at: https://imagej.nih.gov/ij/docs/guide/user-guide.pdf.
  • 8. Galer M., Horvat L., 2003. Digital imaging: Essential skills. 3rd edition. Focal Press. DOI: 10.4324/9780080472515.
  • 9. Ghanem A., Lemenand T., Della Valle D., Peerhossaini H., 2014. Static mixers: Mechanisms, applications, and characterization methods – A review. Chem. Eng. Res. Des., 92, 205–228. DOI:10.1016/j.cherd.2013.07.013.
  • 10. Hardt, S., Schönfeld, F., 2003. Laminar mixing in different interdigital micromixers: II. Numerical simulations. AIChE J., 49, 578–584. DOI: 10.1002/aic.690490305.
  • 11. Jankowski M., 2006. Elementy grafiki komputerowej. WNT, Warszawa.
  • 12. McAndrew A., 2004. An introduction to digital image processing with Matlab. Notes for SCM2511 Image Processing 1. Available at: https://www.hlevkin.com/hlevkin/49octaveImageProc/Books/McAbdrew-An%20Introduction%20to%20Digital%20Image%20Processing%20with%20Matlab.pdf.
  • 13. Mitkowski P.T., Adamski M., Szaferski W., 2016. Experimental set-up of motionless hydraulic mixer and analysis of hydraulic mixing. Chem. Eng. J. 288, 618–637. DOI: 10.1016/j.cej.2015.12.012.
  • 14. Molenda J., Wrona M., Siwiec E., 2012. Application of the CIE Lab model in research of fly ash colour. Problemy Eksploatacji, 3, 177–188 (in Polish).
  • 15. Plataniotis K., Venetsanopoulos A.N., 2014. Color image processing and applications. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-662-04186-4.
  • 16. Reynolds O., 1883. An experimental investigation of the circumstances which determine whether the motion of water shall be direct or sinuous, and of the law of resistance in parallel channels. Phil. Trans. R. Soc., 174, 935–982. DOI: 10.1098/rstl.1883.0029.
  • 17. Schönfeld F., Hessel V., Hofmann C., 2004. An optimised split-and-recombine micro-mixer with uniform ‘chaotic’ mixing. Lab Chip, 4, 65–69. DOI: 10.1039/b310802c.
  • 18. Vega-Alvarado L., Taboada B., Hidalgo-Millán A., Ascanio G., 2011. Image analysis method for the measurement of mixing times in stirred vessels. Chem. Eng. Technol., 34, 859–866. DOI: 10.1002/ceat.201000060.
  • 19. Woziwodzki S., 2014. Mixing of viscous Newtonian fluids in a vessel equipped with steady and unsteady rotatingdual-turbine impellers. Chem. Eng. Res. Des., 92, 435–446. DOI: 10.1016/j.cherd.2013.09.013.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-30676317-1413-4082-af4f-973596cc4523
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