Improving the Efficiency of an Eddy Current Sensor Measuring the Thickness of a Heat-Resistant Metal Film of Turbine Blades During Its Deposition in Vacuum

Authors

DOI:

https://doi.org/10.20535/RADAP.2022.88.86-97

Keywords:

eddy current sensor, turbine blade, heat resistant coating, metal surface, thickness, measuring transducer, oscillatory circuit

Abstract

The article analyzes the design features and general modeling of an eddy current sensor for measuring thickness of a metal film. The main tasks of the work are formulated to improve the accuracy and efficiency of the eddy current sensor based on the analysis of different solutions in the turbine industry. The purpose of the research is to study the peculiarities of the sensitive element (coil) of the eddy current sensor measuring the thickness of the heat-resistant metal film of the turbine blades in a vacuum chamber, followed by computer simulation of its functioning to identify the optimal parameters of the oscillatory circuit. The set goal is achieved by solving the following problems. Firstly, a constructive implementation of the eddy current sensor of the measuring transducer for working in a vacuum chamber at a temperature of 300°C is proposed. Secondly, the calculation of the sensitive element of the sensor (inductance coil) is performed for operation at elevated temperatures. Thirdly, corrections for the intrinsic and mutual inductance of the turns, as well as the inductance correction from temperature are studied in detail and taken into account when calculating the inductance. Finally, computer simulation of the developed measuring transducer is performed based on the oscillatory circuit and the quality factor conception of the simulation models. The most significant important results of the work are the following: a) the proposed methodology makes it possible to develop an optimal sensitive element for operation in vacuum and at elevated temperatures, and b) the simulation model helps to determine the best electrical parameters of the measuring transducer elements. The significance of the obtained results lies in the possibility of improving the accuracy and, accordingly, the efficiency of measuring the thickness of the heat-resistant metal film of the turbine blades.

References

References

Sorokes, J. M. and Kuzdzal, M. J. (2018). Centifugal compressor evolution. 47th Turbomachinery & 34th Pump Symposia, 23 p.

Stansel, D. M. (2018). Gas Turbine Emissions Improvements by Advances in Design, Analysis, Materials, Manufacturing, and Control Technology. 47th Turbomachinery & 34th Pump Symposia, 20 p.

Schnoes, M., Voß, C. and Nicke, E. (2018). Design optimization of a multi-stage axial compressor using throughflow and a database of optimal airfoils. Journal of the Global Power and Propulsion Society, Vol. 2, pp. 516–528. DOI: 10.22261/JGPPS.W5N91I.

Shcherbakova G., et al. (2021). Optimization Methods on the Wavelet Transformation Base for Technical Diagnostic Information Systems. 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS, Vol. 2, pp. 767–773. doi: 10.1109/IDAACS53288.2021.9660927.

Bodyanskiy Y., Kobylin I., Rashkevych Y., Vynokurova O., Peleshko D. (2018). Hybrid fuzzy-clustering algorithm of unevenly and asynchronously spaced time series in computer engineering. 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), pp. 930–935. DOI: 10.1109/TCSET.2018.8336346.

Topalov A., Kozlov O., Gerasin O., Kondratenko G., Kondratenko Y. (2018). Stabilization and Control of the Floating Dock’s List and Trim: Algorithmic Solution. 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), pp. 1217-1222. DOI: 10.1109/TCSET.2018.8336414.

Kondratenko Y., Korobko V., Korobko O., Gerasin O. (2015). Pulse-Phase Control System for Temperature Stabilization of Thermoacoustic Engine Model Driven by the Waste Heat Energy. 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Vol. 1, pp. 58-61. DOI: 10.1109/IDAACS.2015.7340701.

Kondratenko Y. P., Kozlov O. V., Gerasin O. S., Topalov A. M., Korobko O. (2017). Automation of Control Processes in Specialized Pyrolysis Complexes Based on Web SCADA Systems. 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Vol. 1, pp. 107-112. doi: 10.1109/IDAACS.2017.8095059.

Janoušek L. (2012). Impact of selected parameters on eddy current attenuation in conductive materials. 9th International Conference, ELEKTRO, pp. 419–422. doi: 10.1109/ELEKTRO.2012.6225656.

Cheriet A., Feliachi M., and Mimoune S. M. (2009). 3D movement simulation technique in FVM method application to eddy current non destructive testing. COMPEL — The international journal for computation and mathematics in electrical and electronic engineering, Vol. 28, No. 1, pp. 77–84. doi: 10.1108/03321640910918887.

Qu Z., Zhao Q., and Meng Y. (2014). Improvement of sensitivity of eddy current sensors for nano-scale thickness measurement of Cu films. NDT & E International, vol. 61, pp. 53–57. doi: 10.1016/j.ndteint.2013.09.007.

Vargas-Estevez C., Robaina R. R., Real R. P. D., and Plaza J. A. (2015). Nanometric Metal-Film Thickness Measurement Based on a Planar Spiral Coils Stack. IEEE Transactions on Nanotechnology, Vol. 14, No. 2, pp. 297–303. DOI: 10.1109/TNANO.2015.2392794.

Cheng W. and Komura I. (2008). Simulation of Transient Eddy-Current Measurement for the Characterization of Depth and Conductivity of a Conductive Plate. IEEE Transactions on Magnetics, Vol. 44, No. 11, pp. 3281–3284. DOI: 10.1109/TMAG.2008.2001613.

Yin W. and Peyton A. (2007). Thickness measurement of non-magnetic plates using multi-frequency eddy current sensors. NDT & E International, Vol. 40, No. 1, pp. 43–48. doi: 10.1016/j.ndteint.2006.07.009.

Wang H., Li W., and Feng Z. (2015). Noncontact Thickness Measurement of Metal Films Using Eddy-Current Sensors Immune to Distance Variation. IEEE Transactions on Instrumentation and Measurement, Vol. 64, No. 9, pp. 2557–2564. DOI: 10.1109/TIM.2015.2406053.

Shin Y. K., Choi D. M., Kim Y. J., and Lee S. S. (2009). Signal characteristics of differential-pulsed eddy current sensors in the evaluation of plate thickness. NDT & E International, Vol. 42, No. 3, pp. 215–221. doi: 10.1016/j.ndteint.2008.09.006.

Le Bihan Y. (2002). Lift-off and tilt effects on eddy current sensor measurements: a 3-D finite element study. The European Physical Journal Applied Physics (EPJ AP), Vol. 17, Iss. 1, pp. 25–8. doi: 10.1051/epjap:2001002.

Jamia N., Friswell M. I., El-Borgi S. and Fernandes R. (2018). Simulating eddy current sensor outputs for blade tip timing. Advances in Mechanical Engineering, Vol. 10, Iss. 1, pp. 1–12. doi: 10.1177/1687814017748020.

Yin W., Withers P., Sharma U., Peyton A. J. (2009). Noncontact Characterization of Carbon-Fiber-Reinforced Plastics Using Multifrequency Eddy Current Sensors. IEEE Transactions on Instrumentation and Measurement, Vol. 58, Iss. 3, pp. 738–43. DOI: 10.1109/TIM.2008.2005072.

Rose J. H., Tai C., Moulder J. C. (1997). Introduction I. Scaling relation for the inductance of a coil on a ferromagnetic half-space. Journal of Applied Physics, Vol. 82, pp. 243–250. doi: 10.1063/1.366197.

Moulder J. C., Uzal E., Rose J. H. (1992). Thickness and conductivity of metallic layers from eddy current measurements. Review of Scientific Instruments, Vol. 63, Iss. 6, pp. 3455–3465. doi: 10.1063/1.1143749.

García-Martín J., Gómez-Gil J., and Vázquez-Sánchez E. (2011). Non-destructive techniques based on eddy current testing. Sensors, Vol. 11, No. 3, pp. 2525–2565. doi: 10.3390/s110302525.

Ke Hai, Xu Zhiyuan, Huang Chen, Wu Xinjun. (2011). Research on thickness measurement of ferromagnetic materials using pulsed eddy current based on signal slopes. Chinese Journal of Scientific Instrument, Vol. 32, No. 10, pp. 2376–2381.

Huang C., Wu X., Xu Z., and Kang Y. (2011). Ferromagnetic material pulsed eddy current testing signal modeling by equivalent multiple-coil-coupling approach. NDT & E International, Vol. 44, No. 2, pp. 163–168. doi: 10.1016/j.ndteint.2010.11.001.

Nalika Ulapane. (2016). Nondestructive Evaluation of Ferromagnetic Critical Water Pipes Using Pulsed Eddy Current Testing. University of Technology Sydney, Ph.D. dissertation, Dept. Eng. Inf. Technol., 75 p.

Kondratenko Y. P., Zaporozhets Y. M., Rudolph J., Gerasin O. S., Topalov A. M., Kozlov O. V. (2017). Features of clamping electromagnets using in wheel mobile robots and modeling of their interaction with ferromagnetic plate. 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), pp. 453-458. DOI: 10.1109/IDAACS.2017.8095122.

Kondratenko Y. P., Kozlov O. V., Gerasin O. S., Zaporozhets Y. M. (2016). Synthesis and Research of Neuro-Fuzzy Observer of Clamping Force for Mobile Robot Automatic Control System. 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), pp. 90–95. doi: 10.1109/DSMP.2016.7583514.

Ulapane N., Alempijevic A., Vidal-Calleja T., Miro J. V., Rudd J., and Roubal M. (2014). Gaussian process for interpreting pulsed eddy current signals for ferromagnetic pipe profiling. 2014 9th IEEE Conference on Industrial Electronics and Applications, pp. 1762–1767. doi: 10.1109/ICIEA.2014.6931453.

Ulapane N., Thiyagarajan K., Hunt D., and Miro J. V. (2020). Quantifying the relative thickness of conductive ferromagnetic materials using detector coil-based pulsed eddy current sensors. JoVE Journal, Engineering, No. 155. doi: 10.3791/59618.

Antonelli G., Ruzzier M. and Necci F. (1998). Thickness Measurement of MCrAlY High-Temperature Coatings by Frequency Scanning Eddy Current Technique. Journal of Engineering for Gas Turbines and Power, Vol. 120, Iss. 3, pp 537-542. doi: 10.1115/1.2818180.

Yong Li, Zhenmao Chen, Ying Mao, Yong Qi. (2012). Quantitative evaluation of thermal barrier coating based on eddy current technique. NDT & E International, Vol. 50, pp. 29–35. doi: 10.1016/j.ndteint.2012.04.006.

Le Bihan Y., Joubert P.-Y., Placko D. (2000). Eddy current technique applied to the nondestructive evaluation of turbine blade wall thickness. SPIE, pp. 145-153. doi: 10.1117/12.385028.

Le Bihan Y., Joubert P. Y., Placko D. (2001). Wall thickness evaluation of single-crystal hollow blades by eddy current sensor. NDT & E International, Vol. 34, Iss. 5, pp. 363–368. doi: 10.1016/S0963-8695(00)00074-8.

Crowther P. (2004). Non-Destructive Evaluation of Coatings for Land-Based Gas Turbines Using a Multi-Frequency Eddy Current Technique. Insight — Non-Destructive Testing and Condition Monitoring, Vol. 46, No. 9, pp. 547-549. doi: 10.1784/insi.46.9.547.40846.

Cherno O. O., Gerasin O. S., Topalov A. M., Stakanov D. K., Hurov A. P., Vyzhol Yu. O. (2021). Simulation of mobile robot clamping magnets by circle-field method. Technical Electrodynamics, No. 3, pp. 58-64. doi: 10.15407/techned2021.03.058.

Kondratenko Y. P., Topalov А. M., Kozlov O. V. (2019). Simulation of the Initial Stability of the Floating Dock for the List and Trim Stabilization Tasks. PROBLEMELE ENERGETICII REGIONALE, Vol. 1-2, Iss. 41, pp. 12-24. doi: 10.5281/zenodo.3239200. [In Russian].

Taranov M., Rudolph J., Wolf C., Kondratenko Y., Gerasin O. (2017). Advanced Approaches to Reduce Number of Actors in a Magnetically-Operated Wheel-Mover of a Mobile Robot. 2017 13th International Conference Perspective Technologies and Methods in MEMS Design (MEMSTECH), pp. 96–100. doi: 10.1109/MEMSTECH.2017.7937542.

Gerasin O., Zaporozhets Y., Kondratenko Y. (2018). Models of Magnetic Driver Interaction with Ferromagnetic Surface and Geometric Data Computing for Clamping Force Localization Patches. IEEE Second International Conference on Data Stream Mining & Processing, pp. 44-49. doi: 10.1109/DSMP.2018.8478623.

Zarh I. M. (1966). Reference manual for the installation and adjustment of radio-electronic equipmen [Spravochnoe posobie po montazhu i regulirovke radioelektronnoj apparatury]. Publisher: Lenizdat [Izdatel'stvo: Lenizdat], 444 p.

Kalantarov P. L., Cejtlin L. A. (1986). Calculation of inductances. Reference book [Raschet induktivnostej. Spravochnaya kniga], 3rd edition. Publisher: Energoatomizdat, 488 p.

Kondratenko Y., Topalov A., Gerasin O. (2015). Analysis and Modeling of the Slip Signals’ Registration Processes Based on Sensors with Multicomponent Sensing Elements. The Experience of Designing and Application of CAD Systems in Microelectronics, pp. 109-112. doi: 10.1109/CADSM.2015.7230810.

Kondratenko Y. P., Gerasin O. S., Topalov A. M. (2015). Modern Sensing Systems of Intelligent Robots Based on Multi-Component Slip Displacement Sensors. IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), pp. 902–907. doi: 10.1109/IDAACS.2015.7341434.

Kondratenko Y., Gerasin O., Topalov A. (2016). A simulation model for robot’s slip displacement sensors. International Journal of Computing, Vol. 15, Iss. 4, pp. 224–236. doi: 10.47839/ijc.15.4.854.

Kondratenko Y., Korobko O., Kozlov O., Gerasin O., Topalov A. (2015). PLC Based System for Remote Liquids Level Control with Radar Sensor. 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), pp. 47-52. doi: 10.1109/IDAACS.2015.7340699.

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Published

2022-06-30 — Updated on 2022-07-03

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How to Cite

Hui , W., Ben, N. ., Ryzhkov, S., Topalov, A., Gerasin, O. and Vyzhol , Y. (2022) “Improving the Efficiency of an Eddy Current Sensor Measuring the Thickness of a Heat-Resistant Metal Film of Turbine Blades During Its Deposition in Vacuum”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (88), pp. 86-97. doi: 10.20535/RADAP.2022.88.86-97.

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Functional Electronics