doi: 10.17586/2226-1494-2016-16-6-1103-1110


FUNCTIONAL SURFACE MICROGEOMETRY PROVIDING THE DESIRED PERFORMANCE OF AN AIRCRAFT VIBRATION SENSOR

Y. S. Andreev, N. A. Demkovich, R. M. Isaev, A. A. Tselishchev, S. D. Vasilkov


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Article in Russian

For citation: Andreev Yu.S., Demkovich N.A., Isaev R.M., Tselischev A.A., Vasilkov S.D. Functional surface microgeometry providing the desired performance of an aircraft vibration sensor. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2016, vol. 16, no. 6, pp. 1103–1110. doi: 10.17586/2226-1494-2016-16-6-1103-1110

Abstract

Subject of Research. The paper deals with the methods of efficiency improving for piezoelectric vibration sensors used in aircraft industry to control the level of vibration of gas turbine engines. The study looks into the matter of surface microgeometry effect of the vibro sensor part on its transverse sensitivity ratio. Measures are proposed to improve the sensor performance without cost supplement by optimization of the functional surface microgeometry. Method. A method for determination of the best possible surface microgeometry within the specific production conditions is shown. Also, a method for microgeometry estimation of the functional surfaces using graphical criteria is used. Taguchi method is used for design of experiment for functional surfaces machining. The use of this method reduces significantly the number of experiments without validity loss. Main Results. The relationship between technological factors of manufacturing the vibration sensor parts and its sensitivity has been found out. The optimal surface machining methods and process conditions for parts ensuring the best possible sensitivity have been determined. Practical Relevance. Research results can be used by instrument-making companies to improve the process of piezoelectric vibration sensor design and manufacturing.


Keywords: surface microgeometry, mechanical processing, piezoelectric vibration sensor, Taguchi method, graphical criteria, surface functional properties

Acknowledgements. This work was supported by the RFBR (grant No.16-38-00847). The work has earned the award at the V ITMO University Congress of Young Scientists (2016): “Best Scientific and Research Paper Presented by a PhD Student”.

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