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

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. | A minimal predictive model for better formulations of solvent phases with low viscosity EPJ Nuclear Sci. Technol. 6 3 2020 Nuclear Sciences M. Pleines et al. published by EDP Sciences 2020 amp Technologies https epjn 2019055 Available online at https REGULAR ARTICLE A minimal predictive model for better formulations of solvent phases with low viscosity Maximilian Pleines1 2 Maximilian Hahn2 3 Jean Duhamet4 and Thomas Zemb1 1 Institute for Separation Chemistry ICSM CEA CNRS ENSCM Univ. Montpellier Marcoule France 2 Department of Physical Chemistry University of Regensburg 93051 Regensburg Germany 3 COSMOlogic GmbH amp Co. KG 51379 Leverkusen Germany 4 CEA DEN DMRC Univ. Montpellier Marcoule France Received 20 August 2019 Received in final form 10 October 2019 Accepted 13 November 2019 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. 1 Introduction combined small angle scattering and molecular dynamic simulations 6 . Compared to classical microemulsions the Liquid liquid extraction is the central technology in metal gain in free energy arising from formation of aggregates is recycling 1 2 . An important application is the recovery lower. Therefore these microemulsions belong to the class of major actinides Uranium and .

• Năng lượng
• Minimal predictive model
• Liquid–liquid extraction processe
• Mesoscopic and macroscopic scale
• Knowledge based formulation of extracting microemulsion
• Mixed Oxide Fuel