Model assessment of a composite mock-up bladed rotor based on its vibration response and radial expansion. (June 2015)

• Record Type: Journal Article
• Authors: Gude, Maik; Filippatos, Angelos; Langkamp, Albert; Hufenbach, Werner; Kuschmierz, Robert; Fischer, Andreas; Czarske, Jürgen
• Is Part Of: Composite structures. Volume 124(2015)
• Page Start: 394
• Page End: 401
• Publication Date: 2015-06
• Subjects: Composite material -- High-speed composite rotor -- Dynamic deformation; Composite construction -- Periodicals; Composites -- Périodiques; 624.18
• DOI: 10.1016/j.compstruct.2015.01.030
• Languages: English
• ISSNs: 0263-8223

Abstract

Abstract: Composite materials provide high strength and stiffness-to-weight ratios and adjustable directional material properties. As a result, a growing application of composite materials in weight-relevant and complex-loaded structures is noticeable, especially, for the production of high-speed rotors. However, their material complexity, their parameter scatter and unpredictable impact events contribute to the prediction uncertainty of the operational capability. The in situ measurement of damage-sensitive features can provide information for reliable simulation models. Such models are a prerequisite for the analysis of the damage behaviour in practice-relevant loading scenarios. For this purpose, a novel optical measurement system is introduced measuring the rotor deformation. The system offers a measurement rate of 1.6 kHz with an 7 μm error independent on the rotational speed. Furthermore, the rotor vibration response was identified using a combined excitement-measurement system for different rotational speeds. Both measurement systems were successfully applied on a glass fibre-reinforced composite rotor. Based on the experimental results, a simulation model was adjusted using an advanced mixed numerical–experimental technique. A good compliance between experimental and simulation results was identified for rotor-typical stress states. In addition, the rotor temperature is shown to have a significant influence on the model accuracy and has to be incorporated in future models.