Study on Spray Performance and Optimization Design of Gas-liquid Coaxial Swirl Nozzle

doi:10.3901/JME.2022.01.201

Abstract

Abstract: Taking the gas-liquid coaxial swirl nozzle as the research object, an optimized surrogate model and a multi-objective optimization algorithm are used to optimize the crucial geometric parameters of the nozzle. And a new nozzle with better spray performance under low pressure is obtained. The computational fluid dynamics (CFD) is used to analyze the flow field of the nozzle, and the accuracy of CFD numerical simulation was verified by experiments. Based on the Kriging model optimized by improved whale algorithm (levy WOA), the surrogate models of spray angle, film thickness and mass flow rate are established, which could analyze the influence of four crucial geometric parameters on spray performance. Based on the surrogate model, a nozzle with the optimal combination of geometric parameters is obtained by using MOGWO algorithm for multi-objective solution. The research indicates that the Kriging surrogate model optimized by levy WOA has higher fitting accuracy and lower prediction error, and it can effectively predict the influence of four crucial geometric parameters on spray performance. Compared with the original nozzle, the spray angle of the new designed nozzle increased by 4.829 2%, the liquid film thickness decreased by 39.696 0%, and the mass flow rate increased by 13.084 3%. The experimental results show that the spray angle of the new nozzle is 4% higher than that of the original nozzle, which provides a new feasible method for the design of other nozzles.

Key words: gas-liquid coaxial swirl nozzle, spray performance, CFD, surrogate models, multi-objective optimization

CLC Number:

TH122
TP18

YOU Yunxia, HOU Li, YI Zongli, ZHANG Haiyan, SHENG Xin. Study on Spray Performance and Optimization Design of Gas-liquid Coaxial Swirl Nozzle[J]. Journal of Mechanical Engineering, 2022, 58(1): 201-211.

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