Abstract
A model for recognition of the geometric elements of the blade feathers is proposed that allows automated analysis of the measured data and computation of the geometric parameters of the feather using modern coordinate measuring equipment. A description of the mathematical model for recognition of the geometrical elements of the blade feather is provided. The model is based on clustering of the points according to the span, mathematical description of the curves of individual profiles, computation of the curvature values at the curve points, filtering of the curvature values, and clustering of the profile points by the curvature value. The proposed model and the software system for its implementation have been verified by measuring the blade feather of a gas turbine compressor using a coordinate measuring machine.
Similar content being viewed by others
References
Sulima, A.M., Noskov, A.A., and Serebrennikov, G.Z., Osnovy tekhnologii proizvodstva gazoturbinnykh dvigatelei (Main Production Technology of Gas Turbine Engines), Moscow: Mashinostroenie, 1996.
Eliseev, Yu.S., Boitsov, A.G., Krymov, V.V., and Khvorostukhin, L.A., Tekhnologiya proizvodstva aviatsionnykh gazoturbinnykh dvigatelei (Production Technology of Aviation Gas Turbine Engines), Moscow: Mashinostroenie, 2003.
OST (Industry Standard) no. 1 02571-86, Blades of compressors and turbines. Limit deviation of the size, shape and location of the pen, 1986.
Ruzanov, N.V., Bolotov, M.A., and Pechenin, V.A., Development of compensation procedure for systematic errors of coordinate measuring machines with standard tooling, Res. J. Appl. Sci., 2014, vol. 9, no. 12, pp. 1082–1086.
Bolotov, M.A., Pechenin, V.A., and Ruzanov, N.V., Modeling of coordinate measuring geometrical parameters form and location complexity profile of compressor blade GTE, Res. J. Appl. Sci., 2014, vol. 9, no. 12, pp. 1143–1148.
Osovskii, S., Neironnye seti dlya obrabotki informatsii (Neural Networks for Information Processing), Moscow: Finansy i statistika, 2002.
Rogers, D.F. and Adams, J.A., Mathematical Elements for Computer Graphics, New York, London: McGraw-Hill, 1990.
Khaimovich, I.N., Khaimovich, A.I., and Surkov, O.S., Practice in the application of specialized technologic process patterns of 5-axis machining operation of blade rings of blisks, Russ. Aeronaut., 2016, vol. 59, no. 4, pp. 112–117.
Pechenin, V.A., Bolotov, M.A., Ruzanov, N.V., and Yanyukina, M.V., Optimization of measurements of the geometry of parts with complex surfaces, Meas. Tech., 2015, vol. 58, no. 3, pp. 261–268.
Shabliy, L.S. and Dmitrieva, I.B., Conversion of the blade geometrical data from points cloud to the parametric format for optimization problems, ARPN J. Eng. Appl. Sci., 2014, vol. 9, no. 10, pp. 1849–1853.
Muralikrishnan, B. and Raja, J., Computational Surface and Roundness Metrology, London: Springer, 2009.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © V.A. Pechenin, M.A. Bolotov, N.V. Ruzanov, 2018, published in Problemy Mashinostroeniya i Nadezhnosti Mashin, 2018, No. 3, pp. 102–108.
About this article
Cite this article
Pechenin, V.A., Bolotov, M.A. & Ruzanov, N.V. A Model for Recognition of Geometrical Elements of Blade Feathers of Gas-Turbine Engines. J. Mach. Manuf. Reliab. 47, 296–302 (2018). https://doi.org/10.3103/S1052618818030123
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S1052618818030123