Abo Bibliothek: Guest
Digitales Portal Digitale Bibliothek eBooks Zeitschriften Referenzen und Berichte Forschungssammlungen
Atomization and Sprays
Impact-faktor: 1.189 5-jähriger Impact-Faktor: 1.596 SJR: 0.814 SNIP: 1.18 CiteScore™: 1.6

ISSN Druckformat: 1044-5110
ISSN Online: 1936-2684

Volumes:
Volumen 28, 2018 Volumen 27, 2017 Volumen 26, 2016 Volumen 25, 2015 Volumen 24, 2014 Volumen 23, 2013 Volumen 22, 2012 Volumen 21, 2011 Volumen 20, 2010 Volumen 19, 2009 Volumen 18, 2008 Volumen 17, 2007 Volumen 16, 2006 Volumen 15, 2005 Volumen 14, 2004 Volumen 13, 2003 Volumen 12, 2002 Volumen 11, 2001 Volumen 10, 2000 Volumen 9, 1999 Volumen 8, 1998 Volumen 7, 1997 Volumen 6, 1996 Volumen 5, 1995 Volumen 4, 1994 Volumen 3, 1993 Volumen 2, 1992 Volumen 1, 1991

Atomization and Sprays

DOI: 10.1615/AtomizSpr.2011002806
pages 189-202

A NEW QUALITY METHODOLOGY AND METRICS FOR SPRAY PATTERN ANALYSIS

Ingo W. Scheer
ioos LLC
Claudia Beaumont
ioos LLC

ABSTRAKT

A new quality procedure and metrics for detecting quality problems in various applications, including medical device coating, spray drying, mass spectrometry, inhalation (drug delivery), heat transfer, and combustion, is presented. The novel spray characterization method facilitates the evaluation of data relating to spray surface area, spray density distribution, and/or mass distribution by visualizing deviations (spray errors) with respect to an ideal distribution in a two-dimensional plane. In this paper an optical patternation experiment was performed using a custom diagnostic system based on a 2D laser light sheet (Mie scattering) technique to control the quality of a series of air-assisted micronozzles for medical device coating. The novel spray error metrics were evaluated and compared to traditional quality measures such as the pattern index (P.I.). It was noted that the new spray error patternation methodology and error metrics SEt, SEo, and SEu provide a more informative indicator than conventional measures for detecting the spray quality. Besides the spray symmetry, the spray size and accurate location and type of spray density deviations are assessed. The results show that by obtaining quantitative information on spray density deviations, nozzle comparability is facilitated, and otherwise- "invisible" spray under-representation and/or over-representations are detected. A new insight into the spray characteristics of a series of micronozzles could be gained.