工程科学学报，第41卷，第3期：377-383,2019年3月 Chinese Journal of Engineering,Vol.41,No.3:377-383,March 2019 DOI:10.13374/j.issn2095-9389.2019.03.011:http://journals.ustb.edu.cn 基于管道流体信号的自振射流特性检测方法 蔡腾飞，潘岩，马飞，崔立华，邱林宾 北京科技大学机械工程学院，北京100083 ☒通信作者，E-mail:yeke@usth.cdu.cn 摘要提出基于管道流体信号的自振射流特性检测方法，将压力传感器从高压罐内移至高压罐外，布置在高压罐外的前端 管路上，从而避开高围压环境影响：通过双压力传感器拾取管道流体压力脉动信号，并运用信号处理技术有效抑制干扰噪声， 提高有用信号强度，准确获取射流的压力脉动信息.试验表明，管道流体压力信号的频谱特征与喷嘴腔内检测法具有一致性， 且与理论计算较为吻合，充分表征了射流的压力振荡特性：其声功率谱与高压罐内水听器检测结果相一致，较好地表述了射 流的空化作用特性.由此认为基于管道流体信号的检测法用于自振射流特性的检测是完全可行的，具有先进性，为高围压下 自振射流的研究提供了新手段. 关键词自振射流：流体信号；压力振荡；空化作用：检测方法 分类号TG142.71 Detection method of the self-resonating waterjet characteristic based on the flow signal in a pipeline CAl Teng-fei,PAN Yan,MA Fei,CUl Li-hua,OIU Lin-bin School of Mechanical Engineering,University of Science and Technology Beijing.Beijing 100083,China Corresponding author,E-mail:yeke@ustb.edu.cn ABSTRACT The self-resonating waterjet has the characteristics of high-frequency pressure oscillation and strong cavitation.Accu- rately grasping the jet characteristics is a prerequisite for the application research of self-resonating waterjets.The characteristics of the self-resonating waterjet are typically acquired through a test.Traditional test methods primarily include the striking test and signal de- tection in the nozzle chamber.However,these methods both have the disadvantage of low detection accuracy and the inability to over- come the impact of high ambient pressure.In this article,a detection method for self-resonating waterjet characteristics based on the flow signal in a pipeline was proposed.The pressure sensors were transferred from within the high pressure tank to the outside of the tank and were arranged in the front pipeline outside the tank to avoid the influence of high ambient pressure.Dual-pressure sensors were used to acquire the flow pressure pulse signal,and signal-processing technology was used to effectively suppress noise interference for enhancing the intensity of useful signals and accurately obtaining the pressure fluctuation information of the self-resonating waterjet. The test results show that the spectral characteristics acquired from the flow pressure signal in the pipeline agree with the results ob- tained from the signal in the chamber and are also consistent with the theoretical calculations.Thus,the pressure oscillation character- istics of the waterjet are fully characterized.Moreover,the acoustic power spectrum obtained from the flow pressure signal in the pipe- line is in accordance with the result obtained from the hydrophone in the high pressure tank.Consequently,the cavitation characteristic of the waterjet is well characterized.Therefore,the detection method based on the flow signal in the pipeline is entirely feasible and ad- vanced and provides a new means for the study of the self-resonating waterjet under high ambient pressure. KEY WORDS self-resonating waterjet:flow signal;pressure oscillation:cavitation:detection method 收稿日期：20180404 基金项目：国家自然科学基金资助项目(51274021,51774019)：国家“十二五”资助项目(DY125-14-T03)工程科学学报，第 41 卷，第 3 期: 377--383，2019 年 3 月 Chinese Journal of Engineering，Vol． 41，No． 3: 377--383，March 2019 DOI: 10． 13374 /j． issn2095--9389． 2019． 03． 011; http: / /journals． ustb． edu． cn 基于管道流体信号的自振射流特性检测方法 蔡腾飞，潘 岩，马 飞，崔立华，邱林宾 北京科技大学机械工程学院，北京 100083 通信作者，E-mail: yeke@ ustb． edu． cn 摘 要 提出基于管道流体信号的自振射流特性检测方法，将压力传感器从高压罐内移至高压罐外，布置在高压罐外的前端 管路上，从而避开高围压环境影响; 通过双压力传感器拾取管道流体压力脉动信号，并运用信号处理技术有效抑制干扰噪声， 提高有用信号强度，准确获取射流的压力脉动信息． 试验表明，管道流体压力信号的频谱特征与喷嘴腔内检测法具有一致性， 且与理论计算较为吻合，充分表征了射流的压力振荡特性; 其声功率谱与高压罐内水听器检测结果相一致，较好地表述了射 流的空化作用特性． 由此认为基于管道流体信号的检测法用于自振射流特性的检测是完全可行的，具有先进性，为高围压下 自振射流的研究提供了新手段． 关键词 自振射流; 流体信号; 压力振荡; 空化作用; 检测方法 分类号 TG142. 71 收稿日期: 2018--04--04 基金项目: 国家自然科学基金资助项目( 51274021，51774019) ; 国家“十二五”资助项目( DY125--14--T--03) Detection method of the self-resonating waterjet characteristic based on the flow signal in a pipeline CAI Teng-fei，PAN Yan，MA Fei ，CUI Li-hua，QIU Lin-bin School of Mechanical Engineering，University of Science and Technology Beijing，Beijing 100083，China Corresponding author，E-mail: yeke@ ustb． edu． cn ABSTＲACT The self-resonating waterjet has the characteristics of high-frequency pressure oscillation and strong cavitation． Accu￾rately grasping the jet characteristics is a prerequisite for the application research of self-resonating waterjets． The characteristics of the self-resonating waterjet are typically acquired through a test． Traditional test methods primarily include the striking test and signal de￾tection in the nozzle chamber． However，these methods both have the disadvantage of low detection accuracy and the inability to over￾come the impact of high ambient pressure． In this article，a detection method for self-resonating waterjet characteristics based on the flow signal in a pipeline was proposed． The pressure sensors were transferred from within the high pressure tank to the outside of the tank and were arranged in the front pipeline outside the tank to avoid the influence of high ambient pressure． Dual-pressure sensors were used to acquire the flow pressure pulse signal，and signal-processing technology was used to effectively suppress noise interference for enhancing the intensity of useful signals and accurately obtaining the pressure fluctuation information of the self-resonating waterjet． The test results show that the spectral characteristics acquired from the flow pressure signal in the pipeline agree with the results ob￾tained from the signal in the chamber and are also consistent with the theoretical calculations． Thus，the pressure oscillation character￾istics of the waterjet are fully characterized． Moreover，the acoustic power spectrum obtained from the flow pressure signal in the pipe￾line is in accordance with the result obtained from the hydrophone in the high pressure tank． Consequently，the cavitation characteristic of the waterjet is well characterized． Therefore，the detection method based on the flow signal in the pipeline is entirely feasible and ad￾vanced and provides a new means for the study of the self-resonating waterjet under high ambient pressure． KEY WOＲDS self-resonating waterjet; flow signal; pressure oscillation; cavitation; detection method