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Feasibility Study for a Chemical Process Particle Size Characterization System for Explosive Environments Using Low Laser Power

Ross-Jones, Jesse; Teumer, Tobias; Wunsch, Susann; Petri, Lukas; Nirschl, Hermann; Krause, Mathias J.; Methner, Frank-Jürgen; Rädle, Matthias

The industrial particle sensor market lacks simple, easy to use, low cost yet robust, safe and fast response solutions. Towards development of such a sensor, for in-line use in micro channels under continuous flow conditions, this work introduces static light scattering (SLS) determination of particle diameter using a laser with an emission power of less than 5 µW together with sensitive detectors with detection times of 1 ms. The measurements for the feasibility studies are made in an angular range between 20° and 160° in 2° increments. We focus on the range between 300 and 1000 nm, for applications in the production of paints, colors, pigments and crystallites. Due to the fast response time, reaction characteristics in microchannel designs for precipitation and crystallization processes can be studied. A novel method for particle diameter characterization is developed using the positions of maxima and minima and slope distribution. The novel algorithm to classify particle diameter is especially developed to be independent of dispersed phase concentration or concentration fluctuations like product flares or signal instability. Measurement signals are post processed and particle diameters are validated against Mie light scattering simulations. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000129042
Veröffentlicht am 27.01.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 2072-666X
KITopen-ID: 1000129042
Erschienen in Micromachines
Verlag MDPI
Band 11
Heft 10
Seiten Art. Nr.: 911
Vorab online veröffentlicht am 30.09.2020
Schlagwörter angular dependence, side-scattering, low laser power, particle size measurement, recursion model
Nachgewiesen in Dimensions
Web of Science
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