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机械类外文翻译

xx大学机械工程学院毕业设计

The application of Acoustic Emission for detecting

incipient cavitation and the best efficiency point of a

60KW centrifugal pump; case study

L. Alfayez, D. Mba, G. Dyson July 2005 Abstract

Pumps play a significant role in Industrial plants and need continuous monitoring to minimize loss of production. To date, there is limited published information on the application of Acoustic Emission (AE)to incipient pump cavitation. This paper presents a case study where AE has been applied for detecting incipient cavitation and determining the best efficiency point (BEP)of a 60KW centrifugal pump. Results presented are based on NPSH (Net Positive Suction Head)and performance tests. In conclusion the AE technique was shown to offer early detection of incipient cavitation, furthermore, the technique has demonstrated the ability to determine the BEP of a pump

Keywords:

Acoustic Emission; best efficiency point; cavitation; condition monitoring;

Pump performance

1.Introduction

Typically the pump manufacturer will undertake performance and NPSH(Net Positive Suction Head)tests on supplied pumps, the significance of the latter is to determine the 3%drop in head at which serious cavitations will occur. The NPSH can be expressed as the difference between the suction head and the liquids vapour head. The concept of NPSH was developed for the purpose of comparing inlet condition of the system with the inlet requirement of the pump. Cavitation causes a loss of pump efficiency and degradation of the mechanical integrity of the pump. It must be noted that cavitation starts to develop before the

3%drop in head. It is generally accepted that the critical pressure for inception of cavitation is not constant and varies with operation fluid physical properties and the surface roughness of the hydraulic equipment.

Application of the high frequency Acoustic Emission (AE)technique in condition monitoring of rotating machinery has been growing over recent years[1-9].Typical frequencies associated with AE activity range from 20 KHz to 1MHz.The most commonly used method for identifying the presence of cavitation is based on observations of the drop in head. Whilst other techniques such as vibration analysis and hydrophone observations for pump fault diagnosis are well established, the application of AE to this field is still in its infancy. In addition, there are a limited number of publications on the application of AE to pump health and cavitation monitoring. Derakhshan et al [10]investigated the cavitation bubble collapse as a source of acoustic emission and commented that the high amplitude pressure pulse associated with bubble collapse generated AE. With the AE sensor was placed on the actual specimen experiencing cavitation Derkhshan observed increasing AE r.m.s levels with increased pressure of flow and cavitation. However, with the AE sensor mounted on the tank wall the reverse was observed, decreasing AE r.m.s levels with increasing pressure and cavitation. This was attributed to a visible bubble cloud that increased with pressure. It was commented that this cloud attenuated the AE signature prior to reaching the transducer on the wall casing. Neill et al[11,12]assessed the possibility of early cavitation detection with AE and also noted that the collapse of cavitation bubbles was an impulsive event of the type that could generate AE. It was observed that when the pump was under cavitation the AE operational background levels dropped in comparison to non-cavitating conditions. In conclusion Neill stated that loss in NPSH before the 3%drop-off criterion was detectable with AE and evidence of incipient cavitation was detectable in the higher frequency band(0.5 to 1MHz).

The papers reviewed above have clearly associated AE with the collapse of cavitation bubbles. The presence of cavitation has been shown to increase or decrease operational AE noise levels[10,11,12].This paper presents a case study to ascertain the applicability of the AE technique for detecting incipient cavitation, and, to access the opportunities offered by the AE technique for determining the best efficiency point(BEP)of a pump.

2. Experimental setup

A series of performance and NPSH tests were undertaken on a two stage

‘ DavidBrown’60KW centrifugal pump(Model DB22)with a maximum capacity of 204m 3/h at an efficiency of 70.6%.These tests were undertaken using a closed loop arrangement with a vacuum facility in accordance with BS 9906.It must be noted that best endeavours were undertaken to reduce the time taken to reach the required flow rate during performance and NPSH tests.

Acoustic Emission sensors were located at a distance of 0.5 m from suction flange; at the suction flange; on the pump casing in the vicinity of impeller suction eye; on the casing in the vicinity of the impeller discharge tip;0.5m from discharge flange, see figure 1.

3. Data acquisition systems

The AE sensors used for all of the experiments were broadband type sensors with a relative flat response in the region between 100 KHz to 1MHz (Model:WD,‘Physical Acoustics Corporation’).The output signal from the AE sensors was pre-amplified at 40dB.Continuous AE r.m.s values were calculated in real time by the Analogue to Digital Converter(ADC).The sampling rate for acquisition was set at 100ms for all tests and the time constant for calculating the AE r.m.s was also set at 100 ms.

4. Experimental results and observation

4.1 Performance test

Figure 2 details the performance characteristics of the pump, highlighting the BEP at

94.5m/hr. The performance test were undertaken twice to ensure repeatability. Observations

of AE r.m.s activity during the performance test are displayed in figure 3.During the performance test, AE activity from the sensor located in the vicinity of impeller on pump casing was found to have the largest magnitude, providing the best position for correlating AE activity to pump performance. It was observed that the minimum AE r.m.s value was obtained for a flow rate of 94.5m/hr. At this flow rate the AE activity generated from the fluid flow within the pump and pipes was lowest in comparison to other flow rates. Either side of this flow rate resulted in increasing AE r.m.s activity with increased flow rates. Based 3 3

on these observations it was concluded that the BEP must occur where there was minimal flow turbulence in the system, and hence minimum AE activity. The predicted efficiency point of 94.5m/hr was checked with the manufacturer’s performance test and was found to be accurate. Interestingly this is the first known correlation between AE activity and the BEP and agrees with observations of McNulty [13], though McNulty’s investigation was centred at frequencies in the audible range; lower than the AE range. The advantage offered by the AE technique is the inherent rejection of typical mechanical and process operational background noise(less than 20 KHz)

4.2 NPSH test

A total of three NPSH tests were undertaken at flow rates of 101,141 and 180m/hr, see figure

4.As with the performance tests, the best AE signature response was located on the pump casing in the vicinity of the impeller eye

Figures 5 to 7 detail the associated AE r.m.s levels for the three flow rates considered.The following observations were noted:

At a flow rate of 101m/h an increase of 165%in AE r.m.s levels was observed from an NPSH value of 8.2m to 7m.Relatively constant levels followed until an NPSH of 5.8 m when a rapid decrease in AE r.m.s levels was noted. With further reductions in NPSH, spikes in AE r.m.s signal vels associated with cavitation was also observed by Neill[11].Observations of AE levels from the suction and discharge pipes mirrorthis observation.

a flow rate of 141m/h an increase of 43%in AE r.m.s was observed at NPSH value of 12.7m to 9.3m.A rapid decrease in level was noted at an NPSH of 9.3m.With further reductions in NPSH, spikes in AE r.m.s signal were observed as with the test a flow rate of 101m/hr. Again, observations of AE levels from the suction and discharge pipes mirrored this observation.

At a flow rate of 181m/h an increase in AE r.m.s of 223%was observed at NPSH value of 11m to 7.3m.A gradual decrease in the AE levels followed to an NPSH of 1.7 m, where an increase in the r.m.s value was observed.

5.Discussions

5.1Performance test

The observations of AE activity during the performance test were very encouraging. The ability to predict a systems BEP by observing variations in the AE r.m.s response offer process engineers a powerful tool for monitoring plant performance. Whilst further research is still required the opportunities offered by such a tool could be applied to determining system BEP irrespective of the type of medium (liquid, gases, semi-solids, etc )in the system. The observations noted in this investigation correlate with hydrophone measurements undertaken by McNulty [13],where the minimum sound intensity coincided with the pump BEP.

5.2 NPSH test

It is essential to understand the cavitation sequence if it is to be correlated to observed AE activity. Once the suction pressure starts to decrease, vortexes start to occur at the impeller blade tips. With further reduction in pressure these vortexes take the form of travelling bubbles in the liquid. These bubbles are initially created in lower pressure area on the suction surface of the blades. Eventually the bubbles move to higher-pressure areas where they collapse. With even further reduction in the suction pressure, the bubbles combine into larger cavities. These cavities are usually formed on the impeller blade suction surface.

For all NPSH tests an increase in AE r.m.s levels was noted as values of NPSH started to decrease. A maximum level of AE r.m.s was reached after which further reductions in NPSH resulted in a decrease in AE r.m.s levels. This was also observed on the sensors located on the suction and discharge flanges. It is postulated that at the start of the NPSH test the increase in AE r.m.s levels was attributed to the onset of cavitation. The drop in AE r.m.s with decreasing NPSH values was attributed to the attenuation caused by bubble clouds. Following the creation of bubbles, and the eventual formation of the bubble cloud, the AE r.m.s levels were expected to drop. The loss in AE strength due to the presence of cavitation and the bubble cloud was noted by Neill[11,12]and Derakhshan [10]respectively.

5.3 Conclusions

The results from acoustic emission analysis have shown a clear relationship between AE activity measured from the pump casing, suction and discharge pipes, and incipient cavitation. At a relatively high NPSH value, when incipient cavitation is known to occur, an increase in AE r.m.s levels was observed.

However, as cavitation developed a reduction in AE r.m.s levels due to attenuation was noted This would suggest that the AE technique is more suited to detecting incipient, and not developed, cavitation.AE was also found to have enormous potential in determining the BEP of a pump and/or process employing pumps though further research on this observation is required.

6.References

1.Mba, D. and Bannister, R.H.(1999).Condition monitoring of low-speed rotating

machinery using stress waves:Part1 and Part 2.Proc Inst Mech Engrs.213(3),Part E,

153-185.

2.Morhain, A, Mba, D, Bearing defect diagnosis and acoustic emission Journal of Engineering Tribology, I Mech E, Vol 217,No.4,Part J,p

257-272,2003.ISSN1350-6501Mba,D.(2002

3.Mba,D.(2002).Applicability of acoustic emissions to monitoring the mechanical

integrity of bolted structures in low speed rotating machinery: case study. NDT and

EInternational.35(5),293-300

4. D. Mba, A. Cooke, D. Roby ,G. Hewitt, Detection of shaft-seal rubbing in large-scale

power generation turbines with Acoustic Emissions; Case study. Journal of Powerand Energy-Part A,I Mech E, Vol 218,No.2,Part A,p 71-82,March 2004.ISSN0957-6509. 5. Toutountzakis, T. and Mba, D.(2003).Observation of Acoustic Emission Activity during

Gear Defect Diagnosis. NDT and E International.36(7),471-477.

6. Kristoffer Bruzelius D. Mba(2004),An initial investigation on the potential

A pplicability of Acoustic Emission to rail track fault detection. NDT&E

International,37(7),507-516.

7. L. D. Hall and D. Mba,(2004)Diagnosis of continuous rotor–stator rubbing in largescale

turbine units using acoustic emissions,Ultrasonics,41(9),765-773.

8 .L. D. Hall and D. Mba,(2004),Acoustic emissions diagnosis of rotor-stator rubs

using the KS statistic, Mechanical Systems and Signal Processing,18(4),849-868.

9. D. Mba,N, Jamaludin, Monitoring extremely slow rolling element bearings: Part Iand

II,NDT and E International,35(60),349-366,2002.

10. O. Derakhshan, J.Richard Houghton, R. Keith Jones(1989).Cavitation Monitoring of

Hydro turbines with RMS Acoustic Emission Measurements. World Meeting on

Acoustic Emission,p305-315,March 1989.

11. G D Neill, R L Reuben, P M Sandford (1997).Detection of Incipient cavitation in Pumps

Using Acoustic Emission. Journal of Process Mechanical Engineering,

ImechE,211(4),267.

12. G D Neil, et al.(1996)Detection of Incipient cavitation in Pumps Using Acoustic

Emission. In proceedings of COMADEM 96.Sheffield University, July

16-18,391-401.

13. P.J. McNulty(1981)Measurement Techniques and Analysis of Fluid-Borne Noise in

Pumps. National Engineering Laboratory. NEL Report No

声发射检测初生空化及其应用

60KW离心泵最佳效率点案例研究

L.法浦亚斯,D.姆巴,G.戴森 2005年7月

摘要

泵在工业领域发挥着显著的作用,需要持续监控,以尽量减少生产损失。到目前为止,将声发射技术(AE)应用于泵初生空化的信息依然很有限。本文介绍了一个声发射技术(AE)已应用于检测初生空化和确定60KW离心泵的最佳效率点(BEP)的研究案例。该案例的结果是基于NPSH(汽蚀余量)和性能测试得到的。总之,声发射技术被证明可以提供初生空化的检测,此外,该技术已还证明,声发射具有确定泵的最佳效率点(BEP)的能力。

关键字:声发射;最佳效率点;空化;状态监测;泵性能

1.介绍

泵广泛的应用于我们的生活和工业当中。泵的制造商会提供说明泵在给定条件下的性能特性曲线。这些曲线表明泵的放电能力,泵的扬程,功率和工作效率之间的关系。一台泵的理想工作点被称为最佳效率点(BEP)。在这一点,泵的流量和压头相结合,使泵达到最佳效率。如果泵在最佳效率点(BEP)外运行,不仅将使泵的效率受到影响,而且会加剧磨损,降低泵的使用寿命。通常情况下,泵制造商将对泵进行性能和NPSH(汽蚀余量)测试,后者的意义在于确定扬程

下降3%时将发生严重的气穴现象。汽蚀余量(NPSH)可以表示为总水头和液体汽化时的压力头之间的差。 NPSH的概念是因比较泵的入口条件与泵的入口要求而提出的。气蚀引起泵的效率和泵机械完整性降低。必须指出,空化开始发生于扬程下降3%之前。人们普遍认为初生空化的临界压力不是恒定的,而且与工作流体的物理性质及液压设备的表面粗糙度的变化有关。

声发射技术在回转机械状态监测中的应用一直在增长。声发射的范围从20 KHz到1MHz。最常用的用于识别汽蚀存在的方法是观测泵扬程的下降。虽然振动分析及泵故障诊断水听器观测等技术已经非常成熟,声发射技术在这一领域的应用尚处于起步阶段。此外,将声发射技术应用到泵的性能和空化监测的出版物的数量仍十分有限。

德拉哈思汉等人研究认为空化泡破裂是声发射的一种来源,并认为与泡沫破裂相关的高振幅压力脉冲产生了声发射。通过放置在空化实验样品中的声发射传感器,德拉哈思汉观察到AE有效值、水平流动和空化压力都增大了。然而,将AE传感器安装在实验箱箱壁上却得到了相反的结果,AE有效值、水平与空化压力都下降了。这是由一个随着压力增大的可见的气泡云造成的。这就是说,气泡云产生的AE在到达实验箱箱壁上的AE传感器之前在不断地衰减。尼尔等人评估了利用AE检测早期气蚀的可能性,并且指出,空化气泡的破裂所产生的脉冲可以产生声发射。据观察,泵在空化条件下的AE水平比在无空化条件下的要低。总之尼尔表示,比标准低3 %的汽蚀余量是可以被声发射检测到的,并且,初生空化的证据在较高的频带(0.5至1MHz)也是可检测的。

上文已明确表明AE与空化气泡的破裂有关。汽蚀的存在已被证明增加或减少AE水平。本文介绍了一个案例研究,以确定声发射技术检测初生空化的适用性,并利用声发射技术确定泵的最佳效率点(BEP)。

2.实验装置

一系列的性能和汽蚀余量的测试将分两个阶段进行。大卫·布朗的60KW离心泵(型号DB22),最大流量为204m3/h,效率为70.6%。这些试验在BS9906标准的真空封闭设备中进行。必须指出的是,在泵的性能和汽蚀余量测试实验中,实验人员尽了最大的努力,从而降低了泵达到实验所要求的流量所需的时间。声发

射传感器分别被安装在距吸入口法兰0.5m处,叶轮入口附近的壳体上,叶轮放电尖端附近壳体上及距出口法兰0.5m处。参见图1。

3.数据采集系统

实验中的声发射传感器均是工作范围为100 kHz至1MHz的(型号:WD,物理声学公司)传感器。AE传感器的输出信号将预放大为40dB,连续的声发射有效值将会被数字转换器(ADC)实时计算。所有测试的采样率均为100毫秒,计算声发射有效值的时间也是100毫秒。

4. 实验结果

4.1性能测试

图2详细描述了泵的性能特征,表明泵的最佳效率点在流量为94.5m3/h时。泵的性能测试进行了两次,以确保其可重复性。 AE有效值测试结果如图3所示。AE活动的峰值出现在泵壳叶轮附近从设在叶轮上的泵壳体附近,AE的相关活动为泵的性能提供了最佳的位置。据观察,在流量为94.5m3/h时AE的有效值最低。相比于其他流量下流体在泵和管道内产生的声发射,在94.5m3/h的流量下所产生的声发射最低。高于或低于这个流量都将会导致AE活动的增加。基于这些观察可以得出结论,最佳效率点(BEP)一定出现在系统湍流最小点,也就是声发射活动最低点。预测的最佳效率点94.5m3/h是制造商通过性能测试的得到的,并且该点被证明是正确的。有趣的是,这第一次证明了的AE活性和最佳效率点存在相关性并且和麦克纳尔蒂的观察相符合,虽然麦克纳尔蒂的调查集中在比AE范围低的可听频率范围内。AE技术的优点是降低了传统的机械噪音(低于20千赫)。

4.2汽蚀余量测试

实验分别测试了流量分别为101、141、180m3/h时的汽蚀余量。如图4所示。由性能测试实验可知,最好的AE信号出现在叶轮入口附近的泵壳处。

图5到图7详细的表明了在三种不同流量下的声发射有效值

观察结果表明:

1)在流量为101m3/h,汽蚀余量为7m至8.2m时,AE有效值增加了165%。当汽蚀余量为5.8m时,AE有效值会急剧增大。随汽蚀余量继续降低,AE有效值会出现尖峰,此时泵的扬程下降了3%。尼尔也观察到了这种和空化有关的AE有效值的变化,泵吸入口和排出口处的AE有效值变化也印证了这种现象。2)在流量为141m3/h,汽蚀余量为9.3m至12.7m时,AE有效值增加了43%。当汽蚀余量为9.3m时,AE有效值会急剧增大。随汽蚀余量继续降低,同流量为101m3/h 时相同,AE有效值出现了尖峰。泵吸入口和排出口处的AE有效值变化又再一次印证了这一现象。

3)在流量为180m3/h,汽蚀余量为7.3m至11m时,AE有效值增加了223%。随汽蚀余量继续降低,在汽蚀余量为1.7m之前,AE有效值逐渐降低。当汽蚀余量低于1.7m时,AE有效值会增加

5.讨论

5.1 性能测试

性能测试中声发射活动的观察是非常令人鼓舞的。通过AE相应的变化预测系统的最佳效率点给工艺工程师提供了一个检测装置性能的强大的工具。虽然还需要进一步的研究,但这个工具可以确定系统的最佳效率点,而不用考虑介质类型(液体,气体,半固体,等)。将本研究的发现与水听器测量麦克纳尔蒂的实验进行比较,其中最小的声音强度符合泵的最佳效率点。

5.2 汽蚀余量测试

如果要观察到声发射活动,必需要了解空化本质。一旦吸入压力开始下降,叶轮的叶片尖端将产生漩涡。随着压力的进一步降低,这些漩涡在液体中形成气泡。这些气泡最初在低压区中的叶片的负压面上创形成。最终,气泡进入到高的压区,并最终破裂。随着吸入口压力的进一步降低,气泡的合并成较大空腔。这些空腔通产生于叶轮叶片负压面。

在所有的汽蚀余量测试中,随着汽蚀余量值的降低AE 有效值都出现上升。AE有效值达到最高值之后,进一步减少汽蚀余量会导致AE 有效值的下降。这种现象吸入口和排出口法兰处。据推测,在NPSH试验开始时AE有效值增加是因为

气蚀。AE有效值的下降与汽蚀余量值的减小是由气泡云的衰减引起的。随着气泡的生成,并且最终形成气泡云时,AE有效值将会将下降。声发射的强度由于空化和气泡云的存在而减弱是由尼尔和德拉哈思汉分别指出的。

5.3实验结果

声发射分析的结果表明,泵壳,吸入口和排出口的初生空化与AE活性之间有明确的关系。在汽蚀余量值相对高的地方,初始空化发生后,AE有效值将会增加。然而,随着空化发展的AE有效值将会降低。这表明,AE技术更适合于检测早期的并没有发展的空化现象。AE也被发现在确定泵的最佳效率点上具有巨大的潜力,虽然这一潜力尚需进一步的研究。

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分,无损检测和E国际,35(60),349-366页,2002

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On the vehicle sideslip angle estimation through neural networks: Numerical and experimental results. S. Melzi,E. Sabbioni Mechanical Systems and Signal Processing 25 (2011):14~28 电脑估计车辆侧滑角的数值和实验结果 S.梅尔兹,E.赛博毕宁 机械系统和信号处理2011年第25期:14~28

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The development of automobile As the world energy crisis and the war and the energy consumption of oil -- and are full of energy in one day someday it will disappear without a trace. Oil is not inresources. So in oil consumption must be clean before finding a replacement. With the development of science and technology the progress of the society people invented the electric car. Electric cars will become the most ideal of transportation. In the development of world each aspect is fruitful especially with the automobile electronic technology and computer and rapid development of the information age. The electronic control technology in the car on a wide range of applications the application of the electronic device cars and electronic technology not only to improve and enhance the quality and the traditional automobile electrical performance but also improve the automobile fuel economy performance reliability and emission spurification. Widely used in automobile electronic products not only reduces the cost and reduce the complexity of the maintenance. From the fuel injection engine ignition devices air control and emission control and fault diagnosis to the body auxiliary devices are generally used in electronic control technology auto development mainly electromechanical integration. Widely used in automotive electronic control ignition system mainly electronic control fuel injection system electronic control ignition system electronic control automatic transmission electronic control ABS/ASR control system electronic control suspension system electronic control power steering system vehicle dynamic control system the airbag systems active belt system electronic control system and the automatic air-conditioning and GPS navigation system etc. With the system response the use function of quick car high reliability guarantees of engine power and reduce fuel consumption and emission regulations meet standards. The car is essential to modern traffic tools. And electric cars bring us infinite joy will give us the physical and mental relaxation. Take for example automatic transmission in road can not on the clutch can achieve automatic shift and engine flameout not so effective improve the driving convenience lighten the fatigue strength. Automatic transmission consists mainly of hydraulic torque converter gear transmission pump hydraulic control system electronic control system and oil cooling system etc. The electronic control of suspension is mainly used to cushion the impact of the body and the road to reduce vibration that car getting smooth-going and stability. When the vehicle in the car when the road uneven road can according to automatically adjust the height. When the car ratio of height low set to gas or oil cylinder filling or oil. If is opposite gas or diarrhea. To ensure and improve the level of driving cars driving stability. Variable force power steering system can significantly change the driver for the work efficiency and the state so widely used in electric cars. VDC to vehicle performance has important function it can according to the need of active braking to change the wheels of the car car motions of state and optimum control performance and increased automobile adhesion controlling and stability. Besides these appear beyond 4WS 4WD electric cars can greatly improve the performance of the value and ascending simultaneously. ABS braking distance is reduced and can keep turning skills effectively improve the stability of the directions simultaneously reduce tyre wear. The airbag appear in large programs protected the driver and passengers safety and greatly reduce automobile in collision of drivers and passengers in the buffer to protect the safety of life. Intelligent electronic technology in the bus to promote safe driving and that the other functions. The realization of automatic driving through various sensors. Except some smart cars equipped with multiple outside sensors can fully perception of information and traffic facilities

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汽车保险中英文对照外文翻译文献

汽车保险中英文对照外文翻译文献(文档含英文原文和中文翻译)

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机械设计外文翻译--车床和铣床

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