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Machine Vision Based Measurement of Dynamic Contact Angles in Microchannel Flows
Authors:Valtteri Heiskanen  Kalle Marjanen  Pasi Kallio
Institution:[1]Micro- and Nanosystems Research Group, Department of Automation Science and Engineering, Tampere University of Technology, P.O. Box 692, FIN-33101 Tampere, Finland [2]Measurements Based on Images Research Group, Department of Automation Science and Engineering, Tampere University of Technology, P.O. Box 692, FIN-33101 Tampere, Finland
Abstract:When characterizing flows in miniaturized channels, the determination of the dynamic contact angle is important. By measuring the dynamic contact angle, the flow properties of the flowing liquid and the effect of material properties on the flow can be characterized. A machine vision based system to measure the contact angle of front or rear menisci of a moving liquid plug is described in this article. In this research, transparent flow channels fabricated on thermoplastic polymer and sealed with an adhesive tape are used. The transparency of the channels enables image based monitoring and measurement of flow variables, including the dynamic contact angle. It is shown that the dynamic angle can be measured from a liquid flow in a channel using the image based measurement system. An image processing algorithm has been developed in a MATLAB® environment. Images are taken using a CCD camera and the channels are illuminated using a custom made ring light. Two fitting methods, a circle and two parabolas, are experimented and the results are compared in the measurement of the dynamic contact angles.
Keywords:digital image processing  machine vision  microfluidics  microchannel flow  dynamic contact angle  image based measurement
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