首页> 外文期刊>Archives of acoustics >Experimental Investigation of the Effect of Suction Valve Opening on the Performance and Detection of Cavitation in the Centrifugal Pump Based on Acoustic Analysis Technique
【24h】

Experimental Investigation of the Effect of Suction Valve Opening on the Performance and Detection of Cavitation in the Centrifugal Pump Based on Acoustic Analysis Technique

机译:基于声学分析技术的吸气阀开度对离心泵性能和空化检测影响的实验研究

获取原文
获取原文并翻译 | 示例
           

摘要

The pump performance and occurrence of cavitation directly depends on different operating conditions. To cover a wide range of operation conditions for detecting cavitation in this work, investigations on the effect of various suction valve openings on cavitation in the pump were carried out. In order to analyse various levels of cavitation in different operation conditions, the effect of the decrease in the inlet suction pressure of the centrifugal pump by controlling the inlet suction valve opening was investigated using this experimental setup. Hence, the acoustic and pressure signals under different inlet valve openings and different flow rates, namely, 103, 200, 302 l/min were collected for this purpose. A detailed analysis of the results obtained from the acoustic signal was carried out to predict cavitation in the pump under different operating conditions. Also, the acoustic signal was investigated in time domain through the use of the same statistical features. The FFT technique was used to analyse the acoustic signal in the frequency domain. In addition, in this work an attempt was made to find a relationship between the cavitation and noise characteristics using the acoustic technique for identifying cavitation within a pump.
机译:泵的性能和空化的发生直接取决于不同的运行条件。为了在这项工作中检测气蚀的广泛操作条件,对各种吸入阀开口对泵中的气蚀的影响进行了研究。为了分析不同工况下的各种气蚀程度,使用该实验装置研究了通过控制进口吸气阀开度来降低离心泵进口吸气压力的影响。因此,为此目的收集了在不同的进气门开度和不同的流量(即103、200、302 l / min)下的声音和压力信号。对从声信号获得的结果进行了详细的分析,以预测在不同工况下泵中的气蚀现象。另外,通过使用相同的统计特征在时域中研究了声信号。 FFT技术用于分析频域中的声音信号。另外,在这项工作中,尝试使用用于识别泵内的气蚀的声学技术来发现气蚀与噪声特性之间的关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号