Publications

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Visualization of Microscale Cavitating Flow Regimes via Particle Shadow Sizing Imaging and Vision Based Estimation of the Cone Angle

Journal Articles
M. Ghorbani, G. Alcan, M. Unel, D. Gozuacik, S. Ekici, H. Uvet, A. Sabanovic, A. Kosar
Experimental Thermal and Fluid Science, Volume 78, Pages 322–333
Publication date: November, 2016

Abstract

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.

Highlights

  • A complete system including generation of microscale cavitating flows was constructed.
  • High speed visualization and novel image based analysis of spray structure were performed.
  • High speed flow characterization and elimination of manual adjustments are the advantages of the proposed system.
  • The fluid flow was classified as discrete droplet flow, liquid jet, jet cavitation, bubbly flow and highly vaporous bubbly flow.
  • Obtained cone angle of multiphase flow was estimated through 3D Gaussian modeling and by employing a Kalman filter.

Keywords

  • Cavitation
  • Cone angle
  • Kalman filter
  • Microchannel
  • Spray
  • Visualization

BibTeX

@article{ghorbani2016visualization,
  title={Visualization of microscale cavitating flow regimes via particle shadow sizing imaging and vision based estimation of the cone angle},
  author={Ghorbani, Morteza and Alcan, Gokhan and Unel, Mustafa and Gozuacik, Devrim and Ekici, Sinan and Uvet, Huseyin and Sabanovic, Asif and Kosar, Ali},
  journal={Experimental Thermal and Fluid Science},
  volume={78},
  pages={322--333},
  year={2016},
  publisher={Elsevier}
}

 

A New Visual Tracking Method for the Analysis and Characterization of Jet Flow

Journal Articles
G. Alcan, M. Ghorbani, A. Kosar, M. Unel
Flow Measurement and Instrumentation, Volume 51, Pages 55-67
Publication date: October, 2016

Abstract

In this paper, we develop a new method to track the evolution of bubbles or droplets in jet flow. Proposed tracker fuses shape and motion features of the individually detected droplets in 2D shadow images and employs the Bhattacharyya distance to assign the closest one among candidate droplet regions. Distinct from the existing droplet tracking techniques in the literature, shapes of the target droplets were not assumed to be circles or ellipses. Instead evolving droplet contours were extracted and analyzed. Proposed tracking algorithm could achieve real time performance with 16 fps in MATLAB environment. Single, double and triple droplets were tracked with the average accuracy of 87%, 87% and 83%, respectively. Experimental results were then evaluated to explain the underlying jet phenomena.

Highlights

  • A new tracking method based on structural and motion characteristics of droplets.
  • Matching of droplets is performed using Bhattacharyya distance.
  • No circular or elliptical shape assumption during tracking.
  • Successful tracking of single, double and triple droplets.
  • Real-time performance with 87% average tracking accuracy.

Keywords

  • Jet flow
  • Droplet
  • Bubble
  • Segmentation
  • Tracking
  • Bhattacharyya distance

BibTeX

@article{alcan2016new,
  title={A new visual tracking method for the analysis and characterization of jet flow},
  author={Alcan, Gokhan and Ghorbani, Morteza and Kosar, Ali and Unel, Mustafa},
  journal={Flow Measurement and Instrumentation},
  volume={51},
  pages={55--67},
  year={2016},
  publisher={Elsevier}
}

 

Single Droplet Tracking in Jet Flow

Conference PapersBook Chapters
G. Alcan, M. Ghorbani, A. Kosar, M. Unel
International Conference on Image Analysis and Recognition (ICIAR 2016), Póvoa de Varzim, Portugal, July 13-15, 2016
Lecture Notes in Computer Science, Volume 9730, Pages 415-422
Publication date: July, 2016

Abstract

Fluid systems such as the multiphase flow and the jet flow usually involve droplets and/or bubbles whose morphological properties can provide important clues about the underlying phenomena. In this paper, we develop a new visual tracking method to track the evolution of single droplets in the jet flow. Shape and motion features of the detected droplets are fused and Bhattacharyya distance is employed to find the closest droplet among possible candidates in consecutive frames. Shapes of the droplets are not assumed to be circles or ellipses during segmentation process, which utilizes morphological operations and thresholding. The evolution of single droplets in the jet flow were monitored via Particle Shadow Sizing (PSS) technique where they were tracked with 86 % average accuracy and 15 fps real-time performance.

Keywords

  • Jet flow 
  • Droplet 
  • Bubble 
  • Morphology 
  • Segmentation 
  • Tracking 
  • Bhattacharyya distance 

BibTeX

@inproceedings{alcan2016single,
  title={Single droplet tracking in jet flow},
  author={Alcan, Gokhan and Ghorbani, Morteza and Kosar, A and Unel, M},
  booktitle={Lecture Notes in Computer Science},
  volume={9730},
  pages={415--422},
  year={2016},
  publisher={Springer}
}

 

Visualization and Image Processing of Spray Structure Under the Effect of Cavitation Phenomenon

Journal ArticlesConference Papers
M. Ghorbani, G. Alcan, D. Yilmaz, M. Unel, A. Kosar
9th International Symposium on Cavitation (CAV 2015), EPFL, Lausanne, Switzerland, December 6-10, 2015
Journal of Physics: Conference Series, Volume 656, Article Number: 012115
Publication date: December, 2015

Abstract

This paper presents visualization and image processing of spray structure affected by cavitation bubbles and cavitating flow patterns. Experiments were conducted for a better understanding of cavitation and resulting flow regimes. Cavitation is generated with sudden pressure drop across a 4.5 mm long short micro-channel with an inner diameter of 152 μm connected to the setup using proper fittings. Generated cavitation bubbles and fluid flow patterns were observed by using a high speed camera. The spray structure was observed in four different segments and mainly the droplet evaluation in the lower segments for low upstream pressures was analyzed using several image processing techniques including contrast adjustments and morphological operators. Moreover, fluid flow regimes for different upstream pressures were investigated, and the flow patterns were analyzed in the separated regions of the spray.

BibTeX

@inproceedings{ghorbani2015visualization,
  title={Visualization and image processing of spray structure under the effect of cavitation phenomenon},
  author={Ghorbani, Morteza and Alcan, Gokhan and Yilmaz, D and Unel, M and Kosar, A},
  booktitle={Journal of Physics: Conference Series},
  volume={656},
  number={1},
  pages={012115},
  year={2015},
  organization={IOP Publishing}
}

Vision Based Cone Angle Estimation of Bubbly Cavitating Flow and Analysis of Scattered Bubbles Using Micro Imaging Techniques

Conference Papers
G. Alcan, M. Ghorbani, A. Kosar, M. Unel
41st Annual Conference of the IEEE Industrial Electronics Society (IECON 2015), Yokohama, Japan, November 9-12, 2015
Publication date: November, 2015

Abstract

Hydrodynamic cavitation is an effective and alternative treatment method in various biomedical applications such as kidney stone erosion, ablation of benign prostatic hyperplasia tissues and annihilation of detrimental cells. In order to effectively position the orifice of bubbly cavitating flow generator towards the target and control the destructive cavitation effect, cone angle of multi-phase bubbly flow and distributions of scattered bubble swarms around main flow must be determined. This paper presents two vision based solutions to determine these quantities. 3D Gaussian modeling of multi-phase flow and edge slopes of cross-section are used to estimate the cone angle in a Kalman filter framework. Scattered bubble swarm distributions around main flow were assumed as a normal distribution and analyzed with the help of covariance matrix of the bubble position data. Hydrodynamical cavitating bubbles were generated from 0.45 cm long micro probe with 152μm inner diameter under 10 to 120 bars pressures and monitored via Particle Shadow Sizing technique. Proposed methods enabled to quantize the increasing inlet pressure effect on bubbly cavitating multi-phase flow.

BibTeX

@inproceedings{alcan2015vision,
  title={Vision based cone angle estimation of bubbly cavitating flow and analysis of scattered bubbles using micro imaging techniques},
  author={Alcan, Gokhan and Ghorbani, Morteza and Kosar, Ali and Unel, Mustafa},
  booktitle={IECON 2015-41st Annual Conference of the IEEE Industrial Electronics Society},
  pages={003473--003474},
  year={2015},
  organization={IEEE}
}

 

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