Multi-Physics Coupled Acoustic-Mechanics Analysis and Synergetic Optimization for a Twin-Fluid Atomization Nozzle  

作　　者：Wenying Li Yanying Li Yingjie Lu Jinhuan Xu Bo Chen Li Zhang Yanbiao Li 

机构地区：[1]College of Mechanical Engineering,Zhejiang University of Technology,Hangzhou 310023,China [2]State Key Laboratory of Fluid Power and Mechatronic Systems,Zhejiang University,Hangzhou 310027,China [3]School of Materials Science and Engineering,Northwestern Polytechnical University,Xian 710072,China [4]Guizhou Anda Aviation Forging Co.,Ltd.,Anshun 561005,China

出　　处：《Chinese Journal of Mechanical Engineering》2024年第3期204-223,共20页中国机械工程学报（英文版）

基　　金：Supported by National Natural Science Foundation of China (Grant No.U21A20122);Zhejiang Provincial Natural Science Foundation of China (Grant No.LY22E050012);China Postdoctoral Science Foundation (Grant Nos.2023T160580,2023M743102);Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems of China (Grant No.GZKF-202225);Students in Zhejiang Province Science and Technology Innovation Plan of China (Grant No.2023R403073)。

摘　　要：Fine particulate matter produced during the rapid industrialization over the past decades can cause significant harm to human health.Twin-fluid atomization technology is an effective means of controlling fine particulate matter pollution.In this paper,the influences of the main parameters on the droplet size,effective atomization range and sound pressure level(SPL)of a twin-fluid nozzle(TFN)are investigated,and in order to improve the atomization performance,a multi-objective synergetic optimization algorithm is presented.A multi-physics coupled acousticmechanics model based on the discrete phase model(DPM),large eddy simulation(LES)model,and Ffowcs Williams-Hawkings(FW-H)model is established,and the numerical simulation results of the multi-physics coupled acoustic-mechanics method are verified via experimental comparison.Based on the analysis of the multi-physics coupled acoustic-mechanics numerical simulation results,the effects of the water flow on the characteristics of the atomization flow distribution were obtained.A multi-physics coupled acoustic-mechanics numerical simulation result was employed to establish an orthogonal test database,and a multi-objective synergetic optimization algorithm was adopted to optimize the key parameters of the TFN.The optimal parameters are as follows:A gas flow of 0.94 m^(3)/h,water flow of 0.0237 m^(3)/h,orifice diameter of the self-excited vibrating cavity(SVC)of 1.19 mm,SVC orifice depth of 0.53 mm,distance between SVC and the outlet of nozzle of 5.11 mm,and a nozzle outlet diameter of 3.15 mm.The droplet particle size in the atomization flow field was significantly reduced,the spray distance improved by 71.56%,and the SPL data at each corresponding measurement point decreased by an average of 38.96%.The conclusions of this study offer a references for future TFN research.

关 键 词：Twin-fluid nozzle BP neural network Multi-objective optimization Multi-physics coupled Acousticmechanics analysis Genetic algorithm 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] X701[自动化与计算机技术—控制科学与工程]