Visualization of microscale cavitating flow regimes via particle shadow sizing imaging and vision based estimation of the cone angle
| Autor: | Huseyin Uvet, Mustafa Unel, Devrim Gozuacik, Sinan Ekici, Ali Koşar, Morteza Ghorbani, Asif Sabanovic, Gokhan Alcan |
|---|---|
| Přispěvatelé: | Maltepe Üniversitesi |
| Rok vydání: | 2016 |
| Předmět: |
Materials science
General Chemical Engineering Flow (psychology) Aerospace Engineering 02 engineering and technology 01 natural sciences 010305 fluids & plasmas Spray 0203 mechanical engineering 0103 physical sciences Digital image processing Fluid dynamics Ligand cone angle Microscale chemistry Visualization Fluid Flow and Transfer Processes Cavitation Microchannel Cone angle Mechanical Engineering Mechanics Breakup 020303 mechanical engineering & transports Nuclear Energy and Engineering Kalman filter |
| Zdroj: | Experimental Thermal and Fluid Science. 78:322-333 |
| ISSN: | 0894-1777 |
| Popis: | WOS: 000381835200030 Recent studies show the destructive effect of the energy released from the collapse of cavitation bubbles, which are generated in micro domains, on the targeted surfaces. The cavitation phenomenon occurs at low local pressures within flow restrictive elements and strongly affects fluid flow regimes inside microchannels which results in spray formation. Extended cavitation bubbles toward the outlet of the microchannel, droplet evolution, and spray breakup are among crucial mechanisms to be considered in spray structure. In this study, various spray structures under the effect of hydrodynamic cavitation were recorded using a high speed visualization system. Acquired images were analyzed and characterized using several image processing algorithms. In this regard, the fluid flow with ascending upstream pressures from 10 to 120 bar were passed through a microchannel with an inner diameter of 0.152 mm. The spray at the outlet of the microchannel was analyzed for these pressures in four different segments. Particle Shadow Sizing (PSS) imaging and several image processing techniques such as contrast stretching, thresholding and morphological operations were employed to identify the flow regimes in the separated segments. In addition, a vision based estimation technique that utilizes a Kalman filter was developed to estimate cone angle of the spray. Furthermore, classification of fluid flow regimes and morphological characteristics of the spray structure were outlined based on the cavitation number. (C) 2016 Published by Elsevier Inc. TUBITAK (The Scientific and Technological Research Council of Turkey) Support Program for Scientific and Technological Research Projects Grants [113S092]; TUBITAK (The Scientific and Technological Research Council of Turkey) Support Program for Scientific and Technological Research Projects Grants [113S092] This work was supported by TUBITAK (The Scientific and Technological Research Council of Turkey) Support Program for Scientific and Technological Research Projects Grants, 113S092. Equipment utilization support from Sabanci University Nanotechnology Research and Applications Center (SUNUM) is also gratefully appreciated. |
| Databáze: | OpenAIRE |
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