[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. |