Numerical investigation of droplet pre-dispersion in a monodisperse droplet spray dryer |
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| Affiliation: | 1. Suzhou Key Laboratory of Green Chemical Engineering, School of Chemical and Environmental Engineering, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, Jiangsu Province 215123, China;2. Department of Chemical Engineering, Faculty of Engineering, Monash University, Clayton Campus, Victoria, Australia;1. Department of Chemistry and Chemical Engineering, Chalmers University of Technology, SE-412 96, Göteborg, Sweden;2. Department of Applied Mechanics, Chalmers University of Technology, SE-412 96, Göteborg, Sweden;1. Key Laboratory of Coal Gasification and Energy Chemical Engineering of the Ministry of Education, Shanghai Engineering Research Center of Coal Gasification, Institute of Clean Coal Technology, East China University of Science and Technology, Shanghai 200237, China;2. Dipartimento di Ingegneria Industriale, Università degli Studi di Salerno, Via Giovanni Paolo II, 132, I-84084 Fisciano, SA, Italy;1. BASF Advanced Chemicals, China;2. University of Kaiserslautern, Germany;1. Chemical and Biological Engineering Department, University of British Columbia, Vancouver, BC V6T 1Z3, Canada;2. Environmental Science Division, Oak Ridge National Laboratory, Oak Ridge, TN 37381, USA |
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| Abstract: | Monodisperse droplet spray dryers have great advantages in particle formation through spray drying because of their ability to produce uniform sized particles. Experimental analyses of this system have shown that droplets atomized through the piezoceramic nozzle need to be sufficiently well dispersed before entering the drying chamber to achieve sufficiently dried particles. However, the dispersion dynamics cannot be readily observed because of experimental limitations, and key factors influencing the dispersion state currently remain unclear. This study carried out numerical simulations for droplet dispersions in the dispersion chamber, which allow this important process to be visualized. The systematic and quantitative analyses on the dispersion states provide valuable data for improving the design of the dispersion chamber, and optimizing the spray drying operation. |
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| Keywords: | Spray drying Monodisperse droplet spray dryer Droplet dispersion CFD simulation Reaction engineering approach (REA) Discrete phase model (DPM) |
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