KIT | KIT-Bibliothek | Impressum | Datenschutz

Morphological characterization of urea derived deposits in SCR systems

Ates, Cihan; Börnhorst, Marion; Koch, Rainer; Eck, Mario; Deutschmann, Olaf; Bauer, Hans-Jörg

Abstract (englisch):
Selective catalytic reduction (SCR) systems based on the injection of urea–water solution (UWS) are the state-of-the-art exhaust gas after treatment systems reducing the (NOx) emissions of diesel engines. In such systems, the formation of solid urea by-products is an undesired phenomenon and reduces the overall efficiency. In order to minimize this deposit build-up, it is essential to understand the deposit formation process in the presence of spray–wall contact and how this process is influenced by the surface morphology on which the deposit grows. In this regard, the objective of this study is to gain a profound understanding of the morphology of urea-derived deposits in SCR systems and to establish a methodology to characterize the surface topology of such surfaces. For that purpose, characteristic urea deposits are created in a laboratory test bench at two different temperature regimes. Optical and confocal microscopy are used together to investigate the variations in the surface texture and to measure the surface topology. The morphology of the deposit samples is then characterized by using the root mean square roughness, power spectral density (PSD) and fractal dimension analysis. ... mehr



Originalveröffentlichung
DOI: 10.1016/j.cej.2020.128230
Zugehörige Institution(en) am KIT Institut für Thermische Strömungsmaschinen (ITS)
Institut für Technische Chemie und Polymerchemie (ITCP)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 04.2021
Sprache Englisch
Identifikator ISSN: 1385-8947
KITopen-ID: 1000128003
Erschienen in The chemical engineering journal
Verlag Elsevier
Band 409
Seiten 128230
Schlagwörter Urea deposits Surface morphology Power spectral density (PSD) FFT analysis Fractal dimension
Nachgewiesen in Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page