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Say It, Do It Simplify It Think Top and Bottom Line Integrate and Collaborate Tell It As It Is
BEHAVIOURS
V A L U E S S A F E T Y I N T E G R I T Y E X C E L L E N C E P E O P L E & C I T I Z E N S H I P
Application of a FMC/TFM Ultrasonic System to the Inspection of Austenitic Welds R.L. ten Grotenhuis1, A. Chen2, A. Hong1, Y. Verma1 1Ontario Power Generation Inc. Toronto Ontario 2 Kinectrics Inc. Toronto Ontario November 2016
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Agenda
CANDU Primary Heat Transport – Flow Accelerated Corrosion Full Matrix Capture & Total Focussing Method Extension to other applications A general approach to Austenitic welds Weld model and material property considerations Experimental Equipment Results and conclusions
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FAC in CANDU Primary Heat Transport
Oblique view of reactor face upper quadrant showing feeder pipes
Feeder pipe attachment to Fuel channel end fitting Locations subject to
localised FAC attack
Examples of localised FAC attack
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Background – FMC/TFM Solution
FMC necessary for acquisition on small diameter fitting to fitting joints with weld cap 2-stage TFM solution applied to solve for:
Interface surface Interior volume beyond interface
Individual profiles created every 0.5 mm about the circumference
Stacked to yield 3D representation of inspected fitting
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MIT Inspection Results
Examples of typical coverage obtained during field inspections, colour coded for thickness.
Mono tone grey rendering of 3D image depicting photorealistic response left, with a photo of a lab sample right
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Inspection Opportunity
Seek further applications for MIT CANDU system pressure
boundary: Zirconium fuel channels, Inconel steam generator tubing, Carbon steel in balance of Primary
Heat Transport
Dissimilar metal welds: C/S to Inconel 600 nozzle and venturi flow measurement elements 3½” & 4” NPS, sch 80, Qty - 52 welds/unit Austenitic welds in Moderator
system, 8” NPS, 304 SS with 308L fill, Qty – 10 weld/unit
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Approach to Austenitic welds
Required adaptations TFM beamformer code as follows: • Retain the TFM/edge detection solution to the exterior surface • Inhomogeneous material: Divide the inspection region into series of
homogenous regions • Anisotropic characteristic: directionally dependant velocity per
material properties (slowness surface) • Manually locate model of the weld in the interior search region
applying dilations as needed to match weld width/thickness • Solve all points in parent material that do not transit weld material • Apply Fermat principle for weld material beginning with points
closest to transducer element
Imaging to be performed in L-wave mode All points evaluated, however only displays points meeting
intensity threshold Processing times significantly greater than for isotropic case
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Austenitic Weld Sample
EPRI: 6 Inch nps Sch 80 304SS with ‘J’ groove weld prep, 308L fill material
5 implanted defects: 2 thermal fatigue cracks, 2 side wall LOF, Slag line
One of each type selected
Significant deformation occurred during weld process
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Model Development
Analytical solutions exist for Vee and double Vee welds however have not been developed for U groove configurations
Alternative – model based on weld macrograph found to closely match material & geometry of sample
Divided into 27 regions – angles varying from 0 to +/- 63 degrees wrt vertical axis
Weld symmetry was used as a simplifying assumption to ease coding
From Wirdelius et al, Swedish Nuclear Power Inspectorate
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Slowness Surface for 308L
The wave equation for a general elastic anisotropic medium may be written as For a plane wave, its characteristic can be determined by the
Christoffel equation
where is the Green-Christoffel tensor.
li
kijkl
i
xxuC
tu
∂∂∂
=∂∂ 2
2
2
ρ
[ ][ ] 02 =−Γ jij uijc δρijΓ
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Slowness Surface for 308L
The phase velocity c can be obtained by solving the characteristic equation In general, there are three solutions for a give wave propagation
direction, pseudo L wave, pseudo S-horizontal, pseudo S-vertical The group velocity is defined as
It can be shown that
02 =−Γ ijcij δρ
ii K
V∂∂
=ω
cuunC
V kjlijkli ρ=
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Slowness surface
Graphic (3) of slowness surface with group vector and phase vector at varying orientations
0.0001
0.0002
0.0003
0.0004
0.0005
30
210
60
240
90
270
120
300
150
330
180 0
Slowness surface
y
qS1qS2qL
0.0001
0.0002
0.0003
0.0004
0.0005
30
210
60
240
90
270
120
300
150
330
180 0
Slowness surface
y
qS1qS2qL
Phase Vector (a) 20 degree (b) 45 degree (c) 70 degree
0.0001
0.0002
0.0003
0.0004
0.0005
30
210
60
240
90
270
120
300
150
330
180 0
Slowness surface
y
qS1qS2qL
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Phase Coherence
Underlying assumption when applying TFM – phase remains coherent with group Use of analytic signal representation significantly more sensitive
to phase error than other beamformers e.g. phased array Anisotropic materials – group, phase velocity differential results in
loss of coherence which varies depending upon path in material Necessary to compensate for the loss of phase coherence
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Experimental Apparatus
5 Axis immersion tank Peak NDT – 128 ch Micropulse 5 FMC OPG proprietary Neovision data
acquisition package
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Transducer Characteristics
fnom 2.9 MHz
Pitch 0.47 mm
BW (%) 42
Pulse Dur’n 1245 ns
fnom 5.6 MHz
Pitch 0.30 mm
BW (%) 75
Pulse Dur’n 445 ns
fnom 7.7 MHz
Pitch 0.27 mm
BW (%) 71
Pulse Dur’n 320 ns
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Results – 2.9 MHz scans
Without weld model
With weld model
Root crack Side Wall LOF Slag line
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Results – 5.6 MHz scans
Root crack Side Wall LOF Slag line
Without weld model
With weld model
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Results – 7.7 MHz scans
Root crack Side Wall LOF Slag line
Without weld model
With weld model
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Discussion
Improvements to imaging largely confined to the 3 MHz transducer Marginal improvement in performance for the 5.6 MHz transducer Ineffective for 7.7 MHz, likely due to the influence of grain size Issues to be investigated:
• Accuracy of the weld model • Shrinkage and twist of weld axis evident in weld sample • Fabrication process of the sample vis a vis processes applied to implant
defects, • Phase error introduced when applying a phase shift of a single frequency, • Model adaptation based on perturbation of pitch-catch focal law
Current efforts are directed to re-assessment of code modification for potential improvements and providing a better means to fit the model to the search volume
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Conclusions
Initial efforts have yielded limited but encouraging results The model developed may not necessarily correspond to the grain
structure of the sample Further work in the following areas:
Model: Verify the weld process of the model matches that of the sample Sample: Additional tests on samples with known metallurgy and known defect
locations Algorithm: Assess the error introduced when performing phase shift Automate the placement of the model in the search region
The authors wish to thank EPRI for providing samples for this project, in particular we wish to thank Dr. G. Connolly for his assistance and insights.
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End
Thank - you
Questions?