Analysis Methods of Flow Pressure Signal in Oscillation Cavity of a Self-resonating Jet Nozzle
Xu Pingping1,2, Liu Jing1, Ma Fei1, Wang Hui1,CAI Teng fei1,Ma Lin1
1. School of Mechanical Engineering , University of Science and Technology Beijing, Beijing, 100083, China;
2 School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010,China
Abstract:Flow pressure pulsation in nozzle’s oscillation cavity is closely related to the characteristics of self-resonating jet. Component analysis of the pressure signal plays an essential role to comprehend generation of self-resonating jet. The pressure pulsation signal was compared and analyzed with wavelet analysis and Hilbert-Huang transform(HHT) in this paper. The applicability of two methods in pressure signal extraction and time-frequency analysis were discussed. Experimental results showed both of the two methods could be used in decomposition and reconstruction for signal in the cavity. The main feature information could be extracted well. There is no need to select the basic function in HHT. The inherent characteristic of original signal could be reflected in Intrinsic Mode Function(IMF) obtained from Empirical Mode Decomposition(EMD). HHT has practical significance. The instantaneous frequency of signal could be got from HHT. That was beneficial to the real-time observation for pulsation signal in cavity. Compared with wavelet analysis, HHT is more suitable for the analysis of pressure pulsation signal in oscillation cavity of self-resonating jet nozzles.
徐平平1,2,柳靖1,马 飞1,汪晖1,蔡腾飞1,马琳1. 自振射流喷嘴腔内压力信号分析方法的研究[J]. 振动与冲击, 2015, 34(17): 180-184.
Xu Pingping1,2, Liu Jing1, Ma Fei1, Wang Hui1,CAI Teng fei1,Ma Lin1. Analysis Methods of Flow Pressure Signal in Oscillation Cavity of a Self-resonating Jet Nozzle. JOURNAL OF VIBRATION AND SHOCK, 2015, 34(17): 180-184.
[1]廖振方, 唐川林. 自激振荡脉冲射流喷嘴的理论分析[J]. 重庆大学学报,2002 ,25 (2) :24~27.
Liao Zhenfang, Tang Chuanlin. Theory of the Self - excited Oscillation Pulsed Jet Nozzle[J]. Journal of Chongqing University, 2002,25(2):24-27.
[2]Wang Ruihe, Du Yukun, Ni Hongjian, et al. Hydrodynamic Analysis of Suck-in Pulsed Jet in Well drilling[J]. Journal of Hydrodynamics, 2011, 23(1):34~41.
[3]杨敏官, 陆金刚, 王育立,等. 超高压水射流流场预测涡粘模型分析[J]. 农业机械学报, 2014,45(7):306~312.
Yang Minguan, Lu Jingang, Wang Yuli, et al. Analysis of Eddy Viscosity Models in Predicting Flow Field of High-speed Water Jet[J]. Transactions of the Chinese Society for Agricultural Machinery, 2014,45(7):306~312.
[4]王萍辉,马飞. 自激振动空化射流振动分析试验[J]. 机械工程学报, 2009,45(10):89~95.
Wang Pinghui, Ma Fei. Vibration Analysis Experiment of Self-resonating Cavitating Water Jet[J]. Chinese Journal of Mechanical Engineering,2009,45(10):89~95.
[5]刘会霞,圣银,王宵,等. 水射流切割模型及其性能分析[J]. 农业机械学报, 2006, 37(11):122~124,136.
Liu Huixia, Ding Shengyin, Wang Xiao, et al. Water Jet Cutting Model and Analysis of Capability[J]. Transactions of the Chinese Society for Agricultural Machinery, 2006, 37(11): 122~124,136.
[6]李根生,易灿,黄中伟. 自振空化射流改善油层渗透机理及实验研究[J]. 中国石油大学学报(自然科学版),2007,31(1):72~76.
Li Gensheng,Yi Can,Huang Zhongwei. Mechanism and experimental study of self-resonating cavitating jet for improving polluted rock permeability[J]. Priodical Office of China University of petrolcum, 2007,31(1):72~76.
[7]李根生,沈忠厚,周长山. 自振空化射流冲击压力脉动特性实验研究[J]. 水动力学研究与进展, 2003,18(5):570~575.
Li Gensheng, Shen Zhonghou , Zhou Changshan. An experimental study on impact pressure characters tics of self-resonant cavitating jets[J]. Journal of Hydro-dynamics , 2003,18(5):570~575.
[8]Anirban Guha, Ronald M. Barron, Ram Balachandar. An experimental and numerical study of water jet cleaning process[J]. Journal of Materials Processing Technology, 2011, 211:610~618.
[9]Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J]. Proceedings of the Royal Society of London, Series A,1998,454: 903~995.
[10]张俊红,王健,毕凤荣,等. 基于EMD和时频分析的低振动机体结构优化研究[J]. 振动与冲击, 2014,33(3):117~121,144.
Zhang Junhong,Wang Jian, Bi Fengrong, et al. Structural optimization of a low-vibration block based on EMD and time-frequency analysis[J]. Journal of Vibration and Shock, 2014,33(3):117~121,144.
[11]汤宝平,何启源,蒋恒恒,等. 利用小波去噪和HHT的模态参数识别[J]. 振动、测试与诊断,2009,29(2):197~200,243.
Tang Baoping,He Qiyuan,Jing Hengheng,et al. Modal Parameter Identif ication Based on Hilbert Huang Transform and Wavelet De-Noising[J]. Journal of Vibration, Measurement & Diagnosis, 2009,29(2) :197~200,243.
[12]廖振方,唐川林,张凤华. 自激振荡脉冲射流喷嘴的试验研究[J]. 重庆大学学报(自然科学版),2002, 25(2):28~32.
Liao Zhenfang, Tang Chuanlin, Zhang Fenghua. Experiments of the Self-excited Oscillation Pulsed Jet Nozzle[J]. Journal of Chongqing University, 2002, 25(2):28~32.
[13]王循明.自激振荡脉冲射流装置性能影响因素数值分析及喷嘴结构优化设计[D].浙江大学博士论文, 2005.
Wang Xunming. Influence factors numerical simulation study of the self-exicited oscillation pulsed get device and nozzle structure optimized design[D]. Zhejiang University,2005.
[14]周福昌,陈进,何俊,等.基于小波滤波与循环平稳度分析的滚动轴承早期故障诊断方法[J]. 振动与冲击, 2006,25(4):91~93,179.
Zhou Fuchang, Chen Jin, He Jun,et al. Application of Cyclostationary Signal Processing With Wavelet Filtering Rolling Element Bearing Fault Diagnosis[J]. Journal of Vibration and Shock, 2006,25(4):91~93,179.
[15]李夕兵,张义平,刘志祥, 等. 爆破震动信号的小波分析与HHT变换[J]. 爆炸与冲击,2005,25(6):528~535.
Li Xibing, Zhang Yiping, Liu Zhixiang, etal. Wavelet analysis and Hilbert-Huang transform of blasting vibration signal[J]. Explosion and Shock Waves, 2005,25(6):528~535.
[16]杨宇,于德介,程军圣. 基于Hilbert边际谱的滚动轴承故障诊断方法[J]. 振动与冲击,2005,24(1):70~72.
Yang Yu, Yu Deijie, Chen Junsheng. Roller Bearing Fault Diagnosis Based on Hilbert Marginal Spectrum[J]. Journal of Vibration and Shock, 2005,24(1):71~72.
[17]张德丰. MATLAB小波分析[M],北京:机械工业出版社,2009.