Comparison of sonochemiluminescence images using image analysis techniques and identification of acoustic pressure fields via simulation |
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| Affiliation: | 1. Department of Chemical and Environmental Engineering, University of Nottingham Malaysia Campus, 43500 Semenyih, Selangor, Malaysia;2. Graduate School, University of Nottingham Malaysia Campus, 43500 Semenyih, Selangor, Malaysia;3. Department of Chemical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia;1. Chemical Engineering Department, Institute of Chemical Technology, Mumbai 400 019, India;2. University of West Hungary, Faculty of Wood Sciences, Institute of Wood and Paper Technology, 9400 Sopron, Hungary;1. Atotech Deutschland GmbH, Erasmusstraße 20, 10553 Berlin, Germany;2. Drittes Physikalisches Institut, Georg-August-Universität Göttingen, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany;1. Laboratory of Environmental Engineering, Department of Process Engineering, Faculty of Engineering, Badji Mokhtar – Annaba University, P.O. Box 12, 23000 Annaba, Algeria;2. Department of Chemical Engineering, Faculty of Pharmaceutical Engineering Process, University of Constantine 3, 25000 Constantine, Algeria;3. Laboratory of Applied Chemistry and Materials Technology, University of Oum El-Bouaghi, P.O. Box 358, 04000 Oum El Bouaghi, Algeria |
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| Abstract: | One common method to determine the existence of cavitational activity in power ultrasonics systems is by capturing images of sonoluminescence (SL) or sonochemiluminescence (SCL) in a dark environment. Conventionally, the light emitted from SL or SCL was detected based on the number of photons. Though this method is effective, it could not identify the sonochemical zones of an ultrasonic systems. SL/SCL images, on the other hand, enable identification of ‘active’ sonochemical zones. However, these images often provide just qualitative data as the harvesting of light intensity data from the images is tedious and require high resolution images. In this work, we propose a new image analysis technique using pseudo-colouring images to quantify the SCL zones based on the intensities of the SCL images and followed by comparison of the active SCL zones with COMSOL simulated acoustic pressure zones. |
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| Keywords: | Sonochemiluminescence Image analysis COMSOL Acoustic pressure |
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