Abstract
Previous work showed that particle behaviors in ultrasonic atomization pyrolysis (UAP) reactor have a great influence on the transport and collection of particles. In this study, the effects of droplet behaviors (i.e. droplet collision and breakage) and solvent evaporation on the droplet size, flow field and collection efficiency during the preparation of ZnO particles by UAP were investigated. The collision, breakage and solvent evaporation conditions which affect the droplet size distribution and flow pattern were considered in CFD simulation based on Eulerian-Lagrangian method. The results showed that droplet collision and breakage would increase the droplet size, broaden the droplet size distribution and hinder the transport of droplets. Solvent evaporation obviously changed the flow pattern of droplets. In addition, both droplet behaviors and solvent evaporation reduced the collection efficiency. This study could provide detail information for better understanding the effect of droplet behaviors and solvent evaporation on the particle production process via UAP reactor.
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: 21808088
Funding source: China Postdoctoral Science Foundation
Award Identifier / Grant number: 2019M650104
Funding source: Innovation and Entrepreneurship program of Jiangsu province of China
Award Identifier / Grant number: 2018
Award Identifier / Grant number: 2020
Funding source: startup funding for high-level talent of Jiangsu University of China
Award Identifier / Grant number: 18JDG022
Funding source: Natural Science Foundation of Jiangsu Province of China
Award Identifier / Grant number: BK20180868
Acknowledgements
Acknowledgements are also given to the China Academy of Engineering Physics and the high-performance computing center in Jiangsu University for the platform supports in simulation.
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: The authors acknowledge the support from the National Natural Science Foundation of China (21808088), the Innovation and Entrepreneurship program of Jiangsu province of China (2018, 2020), the Natural Science Foundation of Jiangsu Province of China (BK20180868), the China Postdoctoral Science Foundation (2019M650104), and the startup funding for high-level talent of Jiangsu University of China (18JDG022).
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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