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Understanding bottom-up continuous hydrothermal synthesis of nanoparticles using empirical measurement and computational simulation

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Nano Research 2016年第11期9卷 3377-3387页

作者： Jose Sierra-Pallarest thomas huddle Juan Garcia-Serna Esther Alonso Fidel Mato Igor Shvets Olaf Luebben Maria Jose Cocero Edward Lester Fluids Engineering Group Energy and Fluid Mechanics Engineering Department University of Valladolid Paseo del Cauce 59 47010 Valladolid Spain Advanced Materials Research Group the University of Nottingham University Park Nottingham NG7 2RD UK High Pressure Processes Group Department of Chemical Engineering and Environmental Technology University of Valladolid C/Prado de la Magdalena s/n 47011 Valladolid Spain School of Physics Trinity College Dublin College green Dublin 2 Ireland

Continuous hydrothermal synthesis was highlighted in a recent review as an enabling technology for the production of nanoparticles. In recent years, it has been shown to be a suitable reaction medium for the synthesis of a wide range of nanomaterials. Many single and complex nanomaterials such as metals, metal oxides, doped oxides, carbonates, sulfides, hydroxides, phosphates, and metal organic frameworks can be formed using continuous hydrothermal synthesis techniques. This work presents a methodology to characterize continuous hydrothermal flow systems both experimentally and numerically, and to determine the scalability of a counter current supercritical water reactor for the large scale production （〉1,000 T-year-1） of nanomaterials. Experiments were performed using a purpose-built continuous flow rig, featuring an injection loop on a metal salt feed line, which allowed the injection of a chromophoric tracer. At the system outlet, the tracer was detected using UV/Vis absorption, which could be used to measure the residence time distribution within the reactor volume. Computational fluid dynamics （CFD） calculations were also conducted using a modeled geometry to represent the experimental apparatus. The performance of the CFD model was tested against experimental data, verifying that the CFD model accurately predicted the nucleation and growth of the nanomaterials inside the reactor.

关键词： nanoparticle computational fluid dynamics synthesis supercritical inorganics

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