Research on Resonance Mechanism and Collaborative Optimization for the Self-excited Oscillating Pulse Cavitation Jet Nozzle

doi:10.3901/JME.2024.16.377

Abstract

Abstract: The peak value and pulsation amplitude of the self-excited oscillating pulse cavitation jet nozzle are important indexes to evaluate the jet performance. It is of great significance in theory and engineering practice to predict the peak value of the self-excited oscillating pulse cavitation jet nozzle accurately. In order to investigate the evolution mechanism of the inner and outer flow field of the self-excited oscillating pulse cavitation jet, a simulation model of the jet impact of the nozzle is established. Taking the inlet fillet, cavity diameter, cavity length and the diameter of the lower nozzle as the design variables, and taking the peak value of the striking force and the amplitude of the pulsation of the striking force as the target variables, the collaborative optimization design method of the nozzle of the self-excited oscillating pulse cavitation jet is determined by combining the orthogonal test method, the back propagation neural network and the non-dominated sorting genetic algorithm. The results show that when the inlet pressure is 1 MPa, the main and secondary order of the influences of various factors on the jet performance of the nozzle are the inlet fillet, the diameter of the lower nozzle, the cavity diameter and the cavity length. Compared with the optimal result of orthogonal test, the amplitude of impact pulsation increased by 62.68% and the peak value of impact increased by 1.13%. The optimal structure of the nozzle can produce obvious pulse cavitation jet, and the cavitation region of the nozzle cavity contracts periodically with time. The higher the inlet pressure, the higher the cavitation intensity and the higher the content of hollow bubbles. Based on the collaborative optimization results, a visualization test model of self-excited oscillating pulse cavitation jet nozzle flow field is fabricated by 3D printing technology, and the correctness of the simulation model is verified by experiments. The obtained conclusions provide support for the development of the design theory of self-oscillating pulsed cavitation jet nozzles.

Key words: self-excited oscillation, pulsed cavitation jet, nozzle, resonance mechanism, collaborative optimization

CLC Number:

TH69

YUAN Xiaoming, WANG Ning, WANG Weidong, ZHANG Lijie, ZHU Yong. Research on Resonance Mechanism and Collaborative Optimization for the Self-excited Oscillating Pulse Cavitation Jet Nozzle[J]. Journal of Mechanical Engineering, 2024, 60(16): 377-389.

References

[1] 李根生,沈忠厚. 自振空化射流理论与应用[M]. 青岛:中国石油大学出版社,2008. LI Gensheng,SHEN Zhonghou. Theory and application of self-vibrating cavitation jet[M]. Qingdao:China University of Petroleum Press,2008.
[2] MITCHELL B R,DEMIAN S,KORKOLIS Y P,et al. Experimental comparison of material removal rates in abrasive waterjet cutting and a novel droplet stream technique[J]. Procedia Manufacturing,2020(48):586-592.
[3] BERGS T,SCHÜLER M,DADGAR M,et al. Investigation of waterjet phases on material removal characteristics[J]. Procedia CIRP,2020,95:12-17.
[4] XU Xinjian,MENG Zhaoxin. Study on the mechanism of breaking concrete by ultra-high pressure water jet[J]. Journal of Physics Conference Series,2020,15(49):1-4.
[5] YANG Biying,LIAN Kenan,ZHAO Yunwu,et al. Research on automatic cleaning equipment with high pressure water jet for optical pipelines[C]//Journal of Physics:Conference Series,October,2020,IOP Publishing,2020,1654(1):012095.
[6] LI Deng,KANG Yong,WANG Xiaochuan,et al. Effects of nozzle inner surface roughness on the cavitation erosion characteristics of high speed submerged jets[J]. Experimental Thermal and Fluid Science,2016,74:444-452.
[7] ZAHOOR R,KNOSKA J,BAJT S,et al. Experimental and numerical investigation of gas-focused liquid micro-jet velocity[J]. International Journal of Multiphase Flow,2021(135):1-13.
[8] WANG Xiaochuan,LI Yueqin,HU Yi,et al. An experimental study on the jet pressure performance of organ-helmholtz,self-excited oscillating nozzles[J]. Energies,2020,13(2):367-390.
[9] YANG Zengqiang,DOU Linming,CHANG Liu,et al. Application of high-pressure water jet technology and the theory of rock burst control in roadway[J]. International Journal of Mining Science & Technology,2016,26(5):929-935.
[10] WANG Aiming,SUN Pengfei,ZHANG Ziwei,et al. Numerical simulation and experimental study on high-pressure water jet descaling in coal mine drainage pipeline[J]. Iranian Journal of Science and Technology:Transactions of Mechanical Engineering,2020(5):1-18.
[11] STEPANOV Y,BURNASHOV M,STEPANOVA E. A thermo physical model of destruction of contaminants by means of a water-ice-jet cleaning technology[J]. Iop Conference,2017(50):12-21.
[12] MARCON A,MELKOTE S N,YODA M. Effect of nozzle size scaling in co-flow water cavitation jet peening[J]. Journal of Manufacturing Processes,2018,31:372-381.
[13] XIANG Longhao,WEI Xuesong,CHEN Songying. Experimental study on the frequency characteristics of self-excited pulsed cavitation jet[J]. European Journal of Mechanics-B/Fluids,2020(83):66-72.
[14] LI Qin,SHA Wei,LI Fubao,et al. Oscillation mechanism analysis and numerical simulation for tandem self-excited oscillation pulsed jet nozzle[J]. Applied Mechanics & Materials,2014,448(453):3449-3453.
[15] SONG Gaofeng,ZHENG Hongxiang,WANG Yining,et al. Finite element analysis of nozzle selection based on high pressure water jet technology[C]//IOP Conference Series:Earth and Environmental Science,May,2019,IOP Publishing,2019,267(4):042053.
[16] KANG Wei,ZHANG Jiazhong. Numerical analysis of lift enhancement and drag reduction by self-induced vibration of localized elastic airfoil[J]. Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University,2011,45(5):94-101.
[17] 陈波,高殿荣,杨超,等. 大功率远程射雾器结构参数多目标智能协同优化[J]. 机械工程学报,2017,53(6):166-175. CHEN Bo,GAO Dianrong,YANG Chao,et al. Multi-objective intelligent collaborative optimization of structure parameters for high-power remote sprayer[J]. Journal of Mechanical Engineering,2017,53(6):166-175.
[18] LIAN Yongsheng,LIU M. Multiobjective optimization using coupled response surface model and evolutionary algorithm[J]. European Radiology,2005,43(6):1316-1325.
[19] MA Dongliang,ZHOU Tao,CHEN Jie,et al. Supercritical water heat transfer coefficient prediction analysis based on bp neural network[J]. Nuclear Engineering and Design,2017,320(8):400-408.
[20] WANG Wenxu,TANG Ruichun,LI Cheng,et al. A BP neural network model optimized by mind evolutionary algorithm for predicting the ocean wave heights[J]. Ocean Engineering,2018,162(15):98-107.
[21] ESMAEILI A,SOUSA J. Power density ratio optimization of bimorph piezocomposite energy harvesters using a multidisciplinary design feasible method[J]. Composite Structures,2017(165):171-179.
[22] WANG Rui,WANG Na. Research on BP neural network optimization based on ant colony algorithm[J]. Applied Mechanics & Materials,2014,513(517):1819-1821.
[23] DEB K,PRATAP A,AGARWAL S,et al. A fast and elitist multiobjective genetic algorithm:NSGA-II[J]. IEEE Transactions on Evolutionary Computation,2002,6(2):182-197.
[24] WANG Gaige,CAI Xingjuan,CUI Zhihua,et al. High performance computing for cyber physical social systems by using evolutionary multi-objective optimization algorithm[J]. IEEE Transactions on Emerging Topics in Computing,2020,8(1):20-30.
[25] TIAN Ye,ZHANG Xingyi,CHENG Ran,et al. Guiding evolutionary multiobjective optimization with generic front modeling[J]. IEEE Transactions on Cybernetics,2020,50(3):1-14.
[26] WANG Jiahai,ZHONG Chenglin,ZHOU Ying,et al. Multiobjective optimization algorithm with objective-wise learning for continuous multiobjective problems[J]. Journal of Ambient Intelligence and Humanized Computing,2014,6(5):571-585.
[27] 易帅,孙巧雷,冯定,等. 基于正交试验和神经网络的液压杆稳定性研究[J]. 液压与气动,2021(2):16-22. YI Shuai,SUN Qiaolei,FENG Ding,et al. Study on stability of hydraulic rod based on orthogonal test and neural network[J]. Chinese Hydraulics and Pneumatics,2021(2):16-22.
[28] DAIRAY T,ROUX S,FORTUNÉ V,et al. On the capability of piv-based wall pressure estimation for an impinging jet flow[J]. Flow,Turbulence and Combustion,2016,96(3):667-692.
[29] HU Jianjun,YANG Zehe,HUANG Zeng,et al. Flow measurement for the pre-stage of jet pipe servo valve using 2D-PIV technique[J]. International Journal of Fluid Power,2018,19(3):165-172.
[30] SONG M,CHOI H,SEONG J,et al. Matching-index-of-refraction of transparent 3D printing models for flow visualization[J]. Nuclear Engineering and Design,2015,284(4):185-191.