A high‐throughput chaotic advection microreactor for preparation of uniform and aggregated barium sulfate nanoparticles

A high‐throughput (105.5 g/h) passive four‐stage asymmetric oscillating feedback microreactor using chaotic mixing mechanism was developed to prepare aggregated Barium sulfate (BaSO4) particles of high primary nanoparticle size uniformity. Three‐dimensional unsteady simulations showed that chaotic m...

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Bibliographic Details
Published inAIChE journal Vol. 68; no. 10
Main Authors Yang, Hua, Wei, Shi‐Xiao, Chen, Han, Chen, Lang, Au, Chak‐Tong, Xie, Ting‐Liang, Yin, Shuang‐Feng
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.10.2022
American Institute of Chemical Engineers
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Summary:A high‐throughput (105.5 g/h) passive four‐stage asymmetric oscillating feedback microreactor using chaotic mixing mechanism was developed to prepare aggregated Barium sulfate (BaSO4) particles of high primary nanoparticle size uniformity. Three‐dimensional unsteady simulations showed that chaotic mixing could be induced by three unique secondary flows (i.e., vortex, recirculation, and oscillation), and the fluid oscillation mechanism was examined in detail. Simulations and Villermaux–Dushman experiments indicate that almost complete mixing down to molecular level can be achieved and the prepared BaSO4 nanoparticles were with narrow primary particle size distribution (PSD) having geometric standard deviation, σg, less than 1.43 when the total volumetric flow rate Qtotal was larger than 10 ml/min. By selecting Qtotal and reactant concentrations, average primary particle size can be controlled from 23 to 109 nm as determined by microscopy. An average size of 26 nm with narrow primary PSD (σg = 1.22) could be achieved at Qtotal of 160 ml/min.
Bibliography:Funding information
National Natural Science Foundation of China, Grant/Award Numbers: 22108066, 21725602; Natural Science Foundation of Hunan Province, Grant/Award Number: 2021JJ40048; Science and Technology Planning Project of Hunan Province, Grant/Award Number: 2019RS3010
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.17810