Abstract
A procedure is presented to improve the technology for producing turbocompressors that makes it possible to increase an aircraft engine’s quality indices by preassembling compressor blades based on the closeness of the geometric characteristics. Preassmbly uses an intelligence system, the essence of which is a model for analyzing and classifying the geometry of a blade’s complicated surface. The paper describes the mathematical model for analyzing and preassembling the blade geometry according to the closeness of the geometric characteristics using clusterization. The model and its software system are tested on a series of profiles of the concave parts of gas-turbine engine compressor blades as a result of measurement with a coordinate-measuring machine.
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Besl, P.J. and Mckay, N.D., A method for registration of 3-D shapes, IEEE Trans. Pattern Anal. Mach. Intellig., 1992, vol. 14, no. 2, pp. 239–256.
Jayanti, S., Kalyanaraman, Y., and Ramani, K., Shape-based clustering for 3D CAD objects: a comparative study of effectiveness, Computer-Aided Design, 2009, no. 41, pp. 999–1007.
Demuth, H. and Beale, M., Neural Network Toolbox for Use with MATLAB. Neural Network Toolbox User’s Guide, MathWorks, 2003).
Niu, Y., Wong, Y., and Hong, G., Intelligent sensor system approach for reliable toolflank wear recognition, Int. J. Adv. Manuf. Technol., 1998, vol. 14, no. 2, pp. 77–84.
Emel, E., Tool wear detection by neural network based acoustic emission sensing, American society of mechanical engineers, Dyn. Syst. Control Division (Publication) DSC, 1991, no. 28, pp. 79–85.
Osovskii, S., Neironnye seti dlya obrabotki informatsii (Neural Networks for Information Processing), Moscow: Finansy i Statistika, 2002).
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Original Russian Text © V.A. Pechenin, M.A. Bolotov, N.V. Ruzanov, V.A. Kondovin, 2016, published in Problemy Mashinostroeniya i Nadezhnosti Mashin, 2016, No. 2, pp. 105–111.
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Pechenin, V.A., Bolotov, M.A., Ruzanov, N.V. et al. Information system and model for analyzing blade geometry and solving problems on ensuring quality of aircraft gas-turbine engines. J. Mach. Manuf. Reliab. 45, 185–190 (2016). https://doi.org/10.3103/S1052618816020102
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DOI: https://doi.org/10.3103/S1052618816020102