HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

A minimal predictive model for better formulations of solvent phases with low viscosity

Abstract : The viscosity increase of the organic phase when liquid–liquid extraction processes are intensified causes difficulties for hydrometallurgical processes on industrial scale. In this work, we have analyzed this problem for the example of N,N-dialkylamides in the presence of uranyl nitrate experimentally. Furthermore, we present a minimal model at nanoscale that allows rationalizing the experimental phenomena by connecting the molecular, mesoscopic and macroscopic scale and that allows predicting qualitative trends in viscosity. This model opens broad possibilities in optimizing constraints and is a further step towards knowledge-based formulation of extracting microemulsions formed by microstructures with low connectivity, even at high load with heavy metals.
Document type :
Journal articles
Complete list of metadata

Cited literature [86 references]  Display  Hide  Download

Contributor : Marianne Leriche Connect in order to contact the contributor
Submitted on : Tuesday, January 28, 2020 - 4:18:32 PM
Last modification on : Wednesday, January 26, 2022 - 3:14:26 AM


Files produced by the author(s)



Maximilian Pleines, Maximilian Hahn, Jean Duhamet, Thomas Zemb. A minimal predictive model for better formulations of solvent phases with low viscosity. EPJ N - Nuclear Sciences & Technologies, EDP Sciences, 2020, 6, pp.3. ⟨10.1051/epjn/2019055⟩. ⟨cea-02458352⟩



Record views


Files downloads