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On the Relation between Natural and Enforced Syneresis of Acidic Precipitated Silica

Wilhelm, S. 1; Kind, M. 1
1 Institut für Thermische Verfahrenstechnik (TVT), Karlsruher Institut für Technologie (KIT)

Abstract:

Silica in industrial production processes is precipitated by mixing an acid and an inorganic precursor. In this aqueous solution, silica particles form due to a polymerization reaction and agglomeration and, finally, build a gel. Thereafter, the reaction continues, and the gel network shrinks with the expulsion of the enclosed pore liquid. This slow process is known as "natural syneresis" and strongly affects the product properties, such as the agglomerate size, specific surface or porosity of the silica produced. In order to investigate the influence of process parameters, such as temperature, pH or ionic strength, on the shrinkage in shorter time-scales, we propose an acceleration of this process and define it as "enforced syneresis". The acceleration is performed by applying a mechanical external force to the gel by means of a plunger and measuring the shrinkage behavior under these conditions. Thereby, the conceptual idea is the prediction of the shrinkage due to natural syneresis based on the results of enforced syneresis. We are now able to predict the natural syneresis behavior from enforced syneresis data by the development of a correlative model. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000045599
Veröffentlicht am 12.02.2018
Originalveröffentlichung
DOI: 10.3390/polym6122896
Scopus
Zitationen: 18
Web of Science
Zitationen: 13
Dimensions
Zitationen: 17
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Thermische Verfahrenstechnik (TVT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2014
Sprache Englisch
Identifikator ISSN: 2073-4360
urn:nbn:de:swb:90-455999
KITopen-ID: 1000045599
Erschienen in Polymers
Verlag MDPI
Band 6
Heft 12
Seiten 2896-2911
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Schlagwörter Enforced; Natural; Precipitation; Prediction model; Shrinkage; Silica; Syneresis
Nachgewiesen in Dimensions
Web of Science
Scopus
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