Yongkang Hao, Xiaoyu Li, Yuekan Zhang, Anjun Li, Bo Chen, Peikun Liu
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Investigation on the performance optimization of sludge spray nozzles based on computational fluid dynamics coupled with discrete phase model
To reduce the energy consumption and operational costs associated with thermal sludge drying, this study integrated spray technology with sludge drying and designed a spray nozzle specifically for sludge spray drying. Theoretical research and numerical simulations were employed to examine the impact of nozzle structural parameters on the spray field, optimizing the nozzle's spray angle to improve sludge drying efficiency. The results show that as the nozzle angle increases, the pressure rises and the velocity and turbulence energy first decrease and then increase. When the nozzle angle was 120°, the sludge droplets gained the maximum kinetic energy, which maximized the effective area of the spray, resulting in the best crushing effect and the highest sludge particle drying efficiency. Finally, industrial experiments were performed, demonstrating that sludge with a moisture content of approximately 85% was reduced to about 35% after spray drying treatment.
期刊介绍:
The Canadian Journal of Chemical Engineering (CJChE) publishes original research articles, new theoretical interpretation or experimental findings and critical reviews in the science or industrial practice of chemical and biochemical processes. Preference is given to papers having a clearly indicated scope and applicability in any of the following areas: Fluid mechanics, heat and mass transfer, multiphase flows, separations processes, thermodynamics, process systems engineering, reactors and reaction kinetics, catalysis, interfacial phenomena, electrochemical phenomena, bioengineering, minerals processing and natural products and environmental and energy engineering. Papers that merely describe or present a conventional or routine analysis of existing processes will not be considered.