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

Sierra-Pallares, José, Huddle, Thomas, García-Serna, Juan, Alonso, Esther, Mato, Fidel, Shvets, Igor, Luebben, Olaf, Cocero, María José and Lester, Edward (2016) Understanding bottom-up continuous hydrothermal synthesis of nanoparticles using empirical measurement and computational simulation. Nano Research, 9 (11). pp. 3377-3387. ISSN 1998-0000

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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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/804641
Additional Information: The final publication is available at Springer via http://dx.doi.org/10.1007/s12274-016-1215-6
Keywords: Nanoparticle, Computational fluid, Dynamics, Synthesis, Supercritical, Inorganics
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
Identification Number: https://doi.org/10.1007/s12274-016-1215-6
Depositing User: Eprints, Support
Date Deposited: 02 Mar 2017 11:36
Last Modified: 04 May 2020 18:05
URI: https://eprints.nottingham.ac.uk/id/eprint/41016

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