滑油系统全流量磨粒在线监测静电传感技术研究

doi:10.7527/S1000-6893.2013.0316

Abstract

Abstract:

In view of the absence of a mathematical model consistent with the physical model and of an in-depth analysis in the research on in-line abrasive electrostatic monitoring in the full flow oil system of an aero-engine, this paper proposes a mathematically more precise model. An analysis of the signal acquisition circuit indicates that the output of the induced voltage varies with the debris which carries different electric charges while passing through the electrostatic sensing area, and the polarity of the charge carried is ascertained consequently. Meanwhile, a study is conducted of the three factors influencing the spatial sensitivity: the position of the charged abrasive, the axial length and the radial radius of the transducer. The curves of spatial sensitivity obtained show good agreement, which demonstrates that the mathematical model is built accurately. To prove the consistency of the mathematical model with the data acquired during the abrasive monitoring process in the actual full flow oil system, an imitative monitoring platform is designed and the experimental result showes that the monitored signal induced by the electrostatic system is similar to the voltage output in the theoretical analysis and the abrasive polarity can be judged as well, though the signal is coupled with noise.

Key words: aero-engine, oil system, in-line monitoring, mathematical model, spatial sensitivity

CLC Number:

V233.4

HUANG Wenjie, ZUO Hongfu. Research on Electrostatic Sensing for In-line Abrasive Monitoring in Full Flow Oil System[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(8): 1786-1794.

References

[1] Harvey T J, Morris S, Wang L, et al. Real-time monitoring of wear debris using electrostatic sensing techniques. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 2007, 221(1): 27-40.

[2] Harvey T J, Wood R J K, Powrie H E G. Electrostatic wear monitoring of rolling element bearings. Wear, 2007, 263(7): 1492-1501.

[3] Powrie H E G, Wood R J K, Harvey T J, et al. Electrostatic charge generation associated with machinery component deterioration. Proceedings of IEEE Aerospace Conference, 2002, 6: 2927-2934.

[4] Powrie H E G. Use of electrostatic technology for aeroengine oil system monitoring. Proceedings of IEEE Aerospace Conference, 2000, 6: 57-71.

[5] Wang L, Wood R J K, Harvey T J, et al. Wear performance of oil lubricated silicon nitride sliding against various bearing steels. Wear, 2003, 255(1): 657-668.

[6] Morris S, Wood R J K, Harvey T J. Use of electrostatic charge monitoring for early detection of adhesive wear in oil lubricated contacts. Journal of Tribology, 2002, 124(2): 288-296.

[7] Tasbaz O D, Wood R J K, Browne M, et al. Electrostatic monitoring of oil lubricated sliding point contacts for early detection of scuffing. Wear, 1999, 230(1): 86-97.

[8] Craig M, Harvey T J, Wood R J K, et al. Advanced condition monitoring of tapered roller bearings, Part 1. Tribology International, 2009, 42(11): 1846-1856.

[9] Powrie H E G, Tasbaz O D, Wood R J K, et al. Performance of an electrostatic monitoring system during FZG scuffing test. International Conference on Condition Monitoring, 1999: 155-174.

[10] Powrie H E G. Use of electrostatic technology for aero engine oil system monitoring. IEEE Aerospace Conference Proceedings. Montana: IEEE, 2000, 6: 57-72.

[11] Wen Z H, Zuo H F, Li Y H. Gas path debris electrostatic monitoring technology and experiment. Journal of Aerospace Power, 2008, 23(12): 2312-2326. (in Chinese) 文振华, 左洪福, 李耀华. 气路颗粒静电监测技术及实验. 航空动力学报, 2008, 23(12): 2321-2326.

[12] Li Y H, Zuo H F, Wen Z H. Simulated experiment of aircraft engine gas path debris monitoring technology. Acta Aeronautica et Astronautics Sinica, 2009, 30(4): 604-608. (in Chinese) 李耀华, 左洪福, 文振华. 航空发动机气路颗粒静电监测技术模拟实验. 航空学报, 2009, 30(4): 604-608.

[13] Li Y H, Zuo H F, Liu P P. Gas path electrostatic monitoring of turbo-shaft engine: an exploratory experiment. Acta Aeronautica et Astronautica Sinica, 2010, 31(11): 2174-2181. (in Chinese) 李耀华, 左洪福, 刘鹏鹏. 某型航空涡轮轴发动机尾气静电监测探索性实验. 航空学报, 2010, 31(11): 2174-2181.

[14] Li S C, Zuo H F. Design of electrostatic sensor for wear debris on-line monitoring. Piezoel Ectrics & Acoustooptics, 2010, 32(2): 325-328. (in Chinese) 李绍成, 左洪福. 磨粒在线监测静电传感器设计. 压电与声光, 2010, 32(2): 325-328.

[15] Chen Z X, Zuo H F, Zhan Z J, et al. Study of oil system oil-line debris electrostatic monitoring technology. Acta Aeronautica et Astronautica Sinica, 2012, 33(3): 446-452. (in Chinese) 陈志雄, 左洪福, 詹志娟, 等. 滑油系统全流量在线磨粒静电监测技术研究. 航空学报, 2012, 33(3): 446-452.

[16] Sun J Z, Zuo H F, Zhan Z J, et al. Analysis of the influencing factors on the exhaust gas electrostatic monitoring signal of a turbo-shaft engine. Acta Aeronautica et Astronautica Sinica, 2012, 33(3): 412-420. (in Chinese) 孙见忠, 左洪福, 詹志娟, 等. 涡轴发动机尾气静电信号影响因素分析. 航空学报, 2012, 33(3): 412-420.

[17] Kasai T, Fu X Y, Rigney D A, et al. Applications of a non-contacting Kelvin probe during sliding. Wear, 1999, 225(2): 1186-1204.

[18] Zharin A L, Rigney D A. Application of the contact potential difference technique for on-line rubbing surface monitoring. Tribology Letter, 1998, 4(2): 205-213.

[19] Kajdas C, Furey M J, Ritter A L, et al. Triboemission on a basic part of the boundary friction regime. Proceedings of the 12th International Tribology Colloquium 2000-Plus, 2000, 3: 2075-2096.

[20] Zhang J Y, Coulthard J. Theoretical and experimental studies of the spatial sensitivity of an electrostatic pulverized fuel meter. Journal of Electrostatics, 2005, 63(12): 1133-1149.

Research on Electrostatic Sensing for In-line Abrasive Monitoring in Full Flow Oil System

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