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Main Title: Automated image analysis for trajectory determination of single drop collisions
Author(s): Kamp, Johannes
Hänsch, Ronny
Kendzierski, Gregor
Kraume, Matthias
Hellwich, Olaf
Type: Article
Language Code: English
Is Part Of: 10.14279/depositonce-6528
Abstract: The fundamental analysis of drop coalescence probability in liquid/liquid systems is necessary to reliably predict drop size distributions in technical applications. For this crucial investigation two colliding oil drops in continuous water phase were recorded with different high speed camera set-ups under varying conditions. In order to analyze the huge amount of recorded image sequences with varying resolutions and qualities, a robust automated image analysis was developed. This analysis is able to determine the trajectories of two colliding drops as well as the important events of drop detachment from cannulas and their collision. With this information the drop velocity in each sequence is calculated and mean values of multiple drop collisions are determined for serial examinations of single drop collisions. Using the developed automated image analysis for drop trajectory and velocity calculation, approximately 1-2 recorded high speed image sequences can be evaluated per minute. (C) 2016 Elsevier Ltd. All rights reserved.
Issue Date: 2016
Date Available: 16-Feb-2018
DDC Class: 629 Andere Fachrichtungen der Ingenieurwissenschaften
Subject(s): image analysis
drop collision
high speed imaging
collision velocity
Journal Title: Computers and Chemical Engineering
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 89
Publisher DOI: 10.1016/j.compchemeng.2016.03.033
Page Start: 184
Page End: 191
EISSN: 1873-4375
ISSN: 0098-1354
Appears in Collections:FG Verfahrenstechnik » Publications

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