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6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 6th International CANDU ISI Workshop/NDT in Canada 2016 Conference
Application of Flexible PAUT probes
for small diameter FAC elbow inspection II
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference
Vajira Jayasinghe, Chris Eaton,
& Brian Millejours
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference
Introduction
Background
Challenges
Scanner options
3D visualization
Summary
O U
T L
I N
E
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Introduction
Phased Array UT (PAUT) Development Lab
• Active in several incarnations since late 90s
• Specializing in piping & rotating equipment
Application of PAUT to a variety of plant components:
• Blade root / Steeple examination of steam turbines
• Carbon-steel piping weld inspections
• Heat Exchanger shell and tube-sheet inspections
• MIC attack thinning inspections
• Dissimilar Metal Weld inspections
Diversifying to other specialized NDT methods (guided wave,
RFT, 3D laser mapping, GPR)
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference
Introduction
Background
Challenges
Scanner options
3D visualization
Summary
O U
T L
I N
E
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Project Background
Radiography testing (RT) currently used as part of our plant FAC
program for smaller diameter piping
Usage mitigates removal of insulation
Required for inspection of socket welds
Degradation values provided as a %wall loss
Provides visual image of degradation for the engineer
PAUT in lieu of RT
Introduced this year as a production inspection, field trialed in 2015
Preferable for lower manpower requirements (4-man crew vs. 2 techs)
Minimizing safety/dose risk (source)
Minimize overhead (setting up exclusion zones, stopping other work, etc.)
Part of an overall strategy to reduce RT in stations by examining
areas where alternatives can be utilized
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Current System
Flexible Array Probe
0° E-scan setup targeting Flow Assisted
Corrosion mechanism
Calibration on pipe sample with
Tnom and T50% values
Un-encoded scan
Confirmation Manual PAUT probe
Imasonic custom probe with small footprint design
Custom curved rexolite wedges with step wedge shape
Can utilize Sectorial scan for better defect characterization
(in the event degradation mechanism is not FAC)
Encoded capability
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Current System – Test Pieces
Test pieces developed based on FAC samples from field
Range of diameters (NPS ¾”, 1”, 1½”, 2”, 2½”, 3”, 4”)
Three defect patches were machined based into relevant FAC
mechanisms using specially formed EDM electrodes
Defect 1 = 25%, Defect 2 = 50%, Defect 3 = 40%
Defect 2
Defect 1
Defect 3
Defect 2 Defect 1 Defect 3
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 8
Current System - Probe Setup
Primary Aperture Orientation
Type of PAUT Scan
Circumferential
Can cover changing nominal thickness due to elbow
intrados/extrados
Allows probe design to ‘wrap’ around piping
Linear
0° simplifies focal law requirements (ie. Less customized
setups)
Double-backwall signal std for thickness measurement
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference
Introduction
Background
Challenges
Scanner options
3D visualization
Summary
O U
T L
I N
E
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 6th International CANDU ISI Workshop/NDT in Canada 2016 Conference
Piping elbows in scope are small diameter (< 4”)
Most encoded PAUT solutions target piping NPS 4” and greater
Looked for a ‘simple’ solution which can work on a variety of
diameters
System Engineers prefer
‘visual’ provided by RT film to
understand degradation
mechanism
Maintaining complete
coverage along intrados
10
Project Challenges
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference
Introduction
Background
Challenges
Scanner options
3D visualization
Summary
O U
T L
I N
E
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 12
Scanner – Flex Custom Housing
Designed to fit an e2sense
flexible array probe
Detachable housing mount
Single-line encoder
Foam inserts used to control
flexibility of the probe
a
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Pads fit in between housing shell and the probe to
distribute pressure
Different inserts used for different pipe sizes
a
Scanner – Flex Custom Housing
Orange Foam
insert
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Difficult to maintain uniform pressure on the
array
Gaps in the coverage formed at specific points
along the probe aperture
Elastomer
reflection
Pipe
backwall
a
Scanner – Flex Custom Housing
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Scanner – ECA scanner
Repurposing Olympus Eddy-
Current Array flexible probe
scanner
Scanner comes with a series
of different pipe cutouts for
it’s flexible probe
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Scanner – ECA scanner
PAUT flex probe is not as flexible as the ECA model
so some care had to be taken when contouring it
Shape of the scanner creates a cantilever on pipe
elbow, affecting either probe contact or encoder
contact
b
a
E-scan
B-scan
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 17
Scanner – X-Y custom housing
10MHz, 32 element probe
Custom curved wedge
Detachable encoder housing
Y-encoder indexing accomplished by
attached clicker box
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 18
Scanner – X-Y custom housing
Encoding along an elbow profile has inherent errors,
difficult to follow single path even with griding
Custom X-Y scanner was developed for NPS 3-4”, not
as effective for smaller piping
Defect 2 Defect 1 Defect 3
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference
Introduction
Background
Challenges
Scanner options
3D visualization
Summary
O U
T L
I N
E
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 20
3D Visualization – Test piece
Simplify presentation of the inspection data
Enhance characterization of defect to aid in
prioritizing repair/replacement
Develop streamlined approach to data mapping
Aided by relatively simple application to thickness
measurements
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3D Visualization – Test piece
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3D Visualization – Field sample
Step by step process:
Importing data-file from either an MX-2/Topaz into
UltraVision
Import custom geometry as the specimen
Map the scan path of the probe over the same area
inspected onto the CAD model.
Set up contours in UltraVision to adjust the volumetric
merge parameters (ie. eliminate multiple backwalls,
extraneous scan data).
Perform a volumetric merge.
Evaluate the alignment between D-scan, B-scan and
the projection for accuracy and adjust process as
necessary.
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3D Visualization – Field sample
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3D Visualization – Laser mapping
Apply Position markers
Laser scan
Export 3D mesh
Export CAD model
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3D Visualization – Laser Mapping
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3D Visualization – Laser mapping
A lab trial was conducted to determine the viability of
such a solution in the field.
Scan creates a ‘shell’, any thickness of the part is
inferred or provided by PAUT
Considered as an additional step that could be
undertaken for greater accuracy.
Possible to approach this process inversely:
through utilizing 3D laser mapping pipe-check software
with the import of UT data as a CSV file
Process provides an ideal testing ground for the
development to more complex surfaces such as
nozzles or weldolets which may possess significant
variability.
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference
Introduction
Background
Challenges
Scanner options
3D visualization
Summary
O U
T L
I N
E
6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 6th International CANDU ISI Workshop/NDT in Canada 2016 Conference 28
Summary
Still looking for a superior encoded solution
Good results mapping data onto pre-
constructed 3D models
Good results mapping data on 3D laser
scanning models, primary drawback being
pipe thickness is only visible on UT data
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Summary - Next Steps
Improve encoding options for scan
Challenging to maintain uniform contact with elbow
Most flexible probe holders involve rigid casing to hold
the probe which creates difficult in maintaining proper
contact
Evaluate and streamline use of 3D laser
mapping for component accuracy
Would enhance existing visualization for engineer
Adds complexity to mapping data onto component
Unclear if increased accuracy justifies workload
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QUESTIONS?