Inspection of Compressor Discs by Ultrasonic Leaky Waves ...
Non-destructive Testing of Fiber Composite Components ...€¦ · Mechanical testing techniques...
Transcript of Non-destructive Testing of Fiber Composite Components ...€¦ · Mechanical testing techniques...
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Y. Petryna Innotesting 2017, Wildau, 24.02.2017 1
Non-destructive Testing of Fiber Composite Components - Case Study: Rotor Blades of Wind Turbines
Y. Petryna Technische Universität Berlin
Thanks to PhD students: M. Kannenberg, A. Künzel, D. Kovacevic
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Content
Introduction
Rotor blades, BladeTester
Non-destructive testing
Examples Conclusion and outlook
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Motivation: Manufacturing faults and defects
Deformation under dead weight Deforamtion in operation Handwork
Extensive hand work, various materials, blind bondings and cost pressure cause several manufacturing defects in rotor blades, which can be critical in operation
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Bladetester
Joint research project BladeTester - Automated approach for serial integrity tests of rotor blades
2011-2015
Partners
Technische Universität Berlin, Verbundkoordinator
BAM Bundesanstalt für Materialforschung und –prüfung
Steinbichler Optotechnik GmbH
Associated Partners
Ingenieurbüro Werkhausen
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Rotor blade „tuners“
5 real rotor blades for industrial wind turbine + incorporated manufacturing faults as experimental specimens
13,40 m
Rotating support
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Manufacturing faults
relation to components defect type defect causes defect rate consequences for manufacturer relevance w.r.t. RB integrity detectability
Systematic fault analysis by partners is documented in a fault matrix, which categorizes faults with respect to
1 RB without special faults 2 RB with special faults 1 RB possibly fault-free 1 RB with faults (coated)
Rotor blade tuners:
designer
manufacturer certifier
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Delamination (foil)
Resin inclusion
Trockenstelle
Resin fault (foam area)
Resin fault (spar area)
Some examples of manufacturing faults
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Some examples of manufacturing faults
Voids in bond line
Ondulation
Faulty adhesive joint (spar)
Resin channel
disturbed force flow
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Systematic testing of various NDT techniques w.r.t. manufacturing faults
Electromagnetic waves
Mechanical testing techniques
Übersicht über das EM-Spektrum
Ultrasonic waves Shearography guided waves
Ultrasonic testing (MUSE-4)
X-rays
void
Selection criteria
Detectability Repeatability Resolution Testing time / cost
Non-destructive testing
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NDT on spesimen
µ-waves C-Scan (FIT-M) 10 GHz, wave length 3 cm
Microwave
THz-Scan (Becker Photonik) 100 GHz, wave length 3 mm
THz
US US-Scan (MUSE Z-400 Dr. Hillger) 0.5-1.0 MHz
Hidden ondulation in composite, stress field disturbance, potential failure source
Elec
tro
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aves
Other applied techniques: thermography, shearography, x-rays
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adhesive
adhesive
US testing on rotor blade segment
foam
surface damage
composite voids composite
Section of rotor blade with several defects
US scan with reduced colours
foam
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NDT on rotor blades
Ondulation in laminate
Resin inclusion
Layer gradation defects
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Image processing
Object
Surface photos
Suction side Pressure side
easy access low cost automatable rapid camera + software
visible information close to the surface
Partner: GFAI
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Separation acc. to material types
Separation acc. to visible damage
+ geometrical information on edges, areas, positions, etc.
Image processing
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Combined NDT on rotor blades
Photos
Image processing of photos
US scan
A combination of rapid image processing and specialized US testing provides a reliable information on the setup and manufacturing faults of rotor blades
US scan
However, the assessment of “effects of defects” remains a challenge without a proper computer simulation.
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3D reconstruction of internal structure by use of US waves
bond
Bond lines with defects
bond
Surface repair
Thickness change
Laminate
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the same faulty adhesive layer
good adhesive layer faulty adhesive layer
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“real” adhesive layer transferred to FE model
The adhesive layer between two laminate surfaces is filled with volume elements and subjected to shear loading by use of FE
simulation
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Conclusion and Outlook
This approach (NDT+FEM) shall provide much more realistic predictions of structural integrity since it is based on real/measured data
We are looking for industrial partners for a joint project!
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Thank you for your attention