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Proceedings Paper

In-process, non-destructive multimodal dynamic testing of high-speed composite rotors
Author(s): Robert Kuschmierz; Angelos Filippatos; Albert Langkamp; Werner Hufenbach; Jürgern W. Czarske; Andreas Fischer
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Paper Abstract

Fibre reinforced plastic (FRP) rotors are lightweight and offer great perspectives in high-speed applications such as turbo machinery. Currently, novel rotor structures and materials are investigated for the purpose of increasing machine efficiency, lifetime and loading limits. Due to complex rotor structures, high anisotropy and non-linear behavior of FRP under dynamic loads, an in-process measurement system is necessary to monitor and to investigate the evolution of damages under real operation conditions. A non-invasive, optical laser Doppler distance sensor measurement system is applied to determine the biaxial deformation of a bladed FRP rotor with micron uncertainty as well as the tangential blade vibrations at surface speeds above 300 m/s. The laser Doppler distance sensor is applicable under vacuum conditions. Measurements at varying loading conditions are used to determine elastic and plastic deformations. Furthermore they allow to determine hysteresis, fatigue, Eigenfrequency shifts and loading limits. The deformation measurements show a highly anisotropic and nonlinear behavior and offer a deeper understanding of the damage evolution in FRP rotors. The experimental results are used to validate and to calibrate a simulation model of the deformation. The simulation combines finite element analysis and a damage mechanics model. The combination of simulation and measurement system enables the monitoring and prediction of damage evolutions of FRP rotors in process.

Paper Details

Date Published: 8 March 2014
PDF: 7 pages
Proc. SPIE 9062, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2014, 90620O (8 March 2014); doi: 10.1117/12.2045025
Show Author Affiliations
Robert Kuschmierz, Technische Univ. Dresden (Germany)
Angelos Filippatos, Technische Univ. Dresden (Germany)
Albert Langkamp, Technische Univ. Dresden (Germany)
Werner Hufenbach, Technische Univ. Dresden (Germany)
Jürgern W. Czarske, Technische Univ. Dresden (Germany)
Andreas Fischer, Technische Univ. Dresden (Germany)


Published in SPIE Proceedings Vol. 9062:
Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2014
Wolfgang Ecke; Kara J. Peters; Norbert G. Meyendorf; Theodoros E. Matikas, Editor(s)

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