G A Georgiou
Jacobi Consulting Ltd
London N1 3NL, UK
Telephone 020 7288 1601
Fax 0870 054 7372
E-mail george@jacobiconsulting.co.uk
C R A Schneider
TWI
Cambridge CB1 6AL, UK
Paper presented at BINDT Annual Conference 2002, Southport, UK,
17 Sept. 2002
Abstract
This paper describes some recent work on the capability of
radiography to detect planar defects in thin section welds
(thickness range 10-51mm). The paper concentrates on the practical
aspects of the work, including the manufactureof defect specimens,
the procedures used for X-ray and gamma radiography, the
independent interpretations of the radiographs, the sectioning of
the defect specimens and the practical analysis of the results. A
separate paper at thisconference (Part 2) concentrates on the
theoretical modelling and statistical analysis aimed at predicting
radiographic capability for planar defects in thin welds.
The practical analysis here is based on 13 realistic planar
defects revealed by sectioning. Each of these 13 defects has a
number of radiographic exposures associated with it (i.e. different
set up, such as beam angle, film to focusdistance, specimen
thickness etc), making a total of 284 defect/radiograph
combinations. One of the 13 defects was considered too complex and
inappropriate for theoretical modelling (Part 2) and was left out
of that analysis.
Specific conclusions are discussed in this paper, but overall
the results for defect detectability support the expected trends
that increasing penetrated thickness, increasing misorientation
angle and decreasing typical gape allcontribute to making defect
detection more difficult.
1. Introduction
During 1995-1999, TWI performed several detailed studies on the
radiography of large planar defects in thick-section welds. [1] The work considered a number
of issues, such as the capability of 1950s and 1960s radiography,
the use of statistical models to predict defect detectability and
the effect of human factors on defect detectability. Thethicknesses
studied were in the range 50-114mm. The main application of the
work was to quantify the capability of the construction radiography
performed on the welds of the Magnox steel reactor pressure
vessels, but the work also hadgeneric value in providing a better
understanding of radiographic capability. The studies also
confirmed that the Pollitt model was a valuable tool for predicting
the detectability of planar defects in thick welds.
This current work extends the original programme to look at the
detectability of planar defects in thinner section welds (thickness
range 10-51mm). Both X-ray and gamma radiography was used. This new
work, while intended forspecific applications in the nuclear power
industry, should also be of generic value in improving the
understanding of radiographic capability as well as evaluating
Pollitt modelling for thin weld radiography. The Pollitt model
isconsidered in a separate paper in these proceedings.
[2]
2. Specimen and defect manufacture
Three defect specimens were manufactured at TWI and were
intended to contain 12 realistic planar defects with through wall
extent (TWE) in the range 2mm to 5mm and nominal lengths of 10mm.
The intended defect types included lack ofsidewall fusion,
centreline solidification cracking and HAZ hydrogen cracking. The
methods used to produce these defects are well established at TWI,
although not without difficulties and perhaps more so with such
relatively smallintended defect sizes. In some cases more than one
attempt was necessary to produce the desired defect type and the
sectioning programme revealed a total of 21 defects. Out of these
21 defects, 13 planar defects were selected foranalysis ( Table
1).
Table 1 A summary of the final defect parameters for the 13
defects selected for analysis.
Defect
ID |
Thickness
(mm) |
TWE
(mm) |
Tilt
(deg.)* |
Typical Gape
(mm) |
Max. Gape
(mm) |
Type |
| W1-1A |
10 |
0.8 |
7° |
0.05 |
0.11 |
Lack of root fusion |
| W3-2A |
17 |
3.1 |
-23° |
0.02 |
0.04 |
Lack of fusion |
| W3-3A |
17 |
1.8 |
15° |
0.03 |
0.15 |
Lack of fusion |
| W3-4A |
17 |
2.9 |
35° |
0.001 |
0.1 |
Lack of fusion |
| W3-5A |
17 |
2.9 |
-26° |
0.02 |
0.06 |
Lack of fusion |
| W3-6A |
17 |
2.5 |
25° |
0.02 |
0.04 |
Lack of fusion |
| W3-8A |
17 |
2.4 |
32° |
0.01 |
0.07 |
Lack of fusion |
| W5-1B |
38 |
2.5 |
-31° |
0.04 |
0.08 |
Hydrogen cracking |
| W5-1C |
38 |
2.5 |
24° |
0.001 |
0.2 |
Hydrogen cracking |
| W5-1D |
38 |
1.5 |
-28° |
0.001 |
0.001 |
Hydrogen cracking |
| W5-2B |
38 |
1.5 |
-34° |
0.003 |
0.012 |
Hydrogen cracking |
| W5-2C |
38 |
0.7 |
16° |
0.01 |
0.09 |
Hydrogen cracking |
| W5-4A |
38 |
7.9 |
-5° |
0.01 |
0.09 |
Hydrogen cracking |
Key: *Defect tilt is measured positive anticlockwise
The sectioning programme revealed TWEs measuring about 1mm to
8mm. The lengths of the defects, as determined by NDT, were in the
region of 7mm to 15mm. However, the lengths were never verified as
sectioning was generally onlycarried out at one position along the
length of each defect. Overall, the manufacturing methods used for
the intended defect specimens were successful in producing defect
types with the intended TWE and lengths. However, there were
nosolidification cracks among the 13 planar defects selected, and
the TWEs were generally rather smaller than intended,
notwithstanding the range mentioned above. The three specimens were
10mm (ferritic), 17mm (austenitic) and 38mm(ferritic) thick
respectively ( Table 1).
3. Summary of the radiography programme
Since only three specimens were manufactured, spacer plates were
used to simulate different thicknesses between 10mm and 51mm. When
spacer plates were used the majority (69%) was placed on the source
side, but a substantialproportion (31%) was placed closest to the
film. This was to simulate the effect of defects being at different
depths within the welds.
The radiographic procedures used were largely based on Class B
techniques (i.e. improved) in the current European standard, BS EN
1435, [3] with class B
films (Fuji 80 or Fuji 100). It was decided at the outset to assess
the radiographic performance using the 'minimum
requirements' of this quality class, that is, using the minimum
allowed focus- or source-to-filmdistances (FFD/SFD) and the highest
allowed kV. This of course does not necessarily represent
day-to-day practice, but represents the minimum performance that
should be achieved in practice. However, whilst the majority of
radiographswere taken using 'minimum requirements', a
number were also taken using more favourable radiographic settings
to provide a comparison.
A single-wall technique was used throughout with the Image
Quality Indicators (IQI) always placed on the source side.
A total of 144 radiographic exposures were defined and taken
using X-Ray (70% of the total) and Gamma (30% of the total) using
both Iridium 192 and Selenium 75.
4. Results, analysis and conclusions
Two independent interpreters were chosen with suitable
industrial qualifications (i.e. PCN level 2) and who had no
involvement in any of the radiography programme.
A great deal of effort went into the mounting and masking of the
radiographs ( Figure 1) in order to minimise the risk of
the interpreters learning the locations of defects on the different
specimens and realising that there were only 3 specimens. Further
effort went into organising the order of theradiographs so that
each interpreter received more challenging radiographs first in
order to minimise the risk of the interpreter learning the defect
locations from the easier exposures and then using this knowledge
to help with themore challenging exposures.
4.1 Comparison of Interpreters: Achieving IQI sensitivity levels
Fig. 1. An illustration of a mounted radiograph and information
supplied
|
An analysis of the interpreters' report forms show that each
interpreter reported at least Class A IQI sensitivity level [3] in nearly all cases.
Moreover, for a substantial proportion of the cases, each
interpreter was reporting at least Class B IQI sensitivity level
(40% for interpreter X and 67% for interpreter Y). These results
reflect the factthat interpreter Y was recording more IQI wires
than interpreter X.
4.2 Comparison of interpreters: Overall detection of
defects
From the 144 mounted radiographs viewed by each interpreter, the
actual positions of the 13 defects selected were in the viewing
window a total of 284 times. Each interpreter was asked to record
indications as either easily visible(EV), barely visible (BV),
based on a sample radiograph with notches, or not detected (ND).
Interpreter Y detected more defects than interpreter X, by a margin
of 4%. For this analysis, the number of detected defects recorded
was withrespect to actual defect positions, so this was not just a
case of an interpreter simply recording more defects because of
human behaviour. The higher detection level of Interpreter Y was
consistent with reporting a higher average IQIsensitivity level
(see above).
4.3 Comparison of defect detection at different FFD/SFD
Whilst the vast majority of radiographic exposures were taken at
the minimum FFD/SFD settings (i.e. 350mm to 760mm), some were
repeated at longer FFD/SFD (i.e. 1000mm) to assess the difference
in radiographic performance.
When all reported indications on the radiographs were considered
there were about 10% fewer indications reported by each interpreter
using minimum FFD/SFD compared with longer FFD/SFD settings.
However, if the analysis was confinedto the 13 selected planar
defects there appeared to be only very slightly fewer of these
reported at minimum FFD/SFD than at longer FFD/SFD.
4.4 Comparison of defect detection between X-Ray and Gamma
When taking all reported indications into account, each
interpreter reported substantially more indications (between 30%
and 40%) for X-ray radiography than for gamma radiography. This was
consistent with more IQI wires beingreported for X-ray than for
gamma.
However, if the analysis was confined to the 13 selected planar
defects, the interpreters reported only marginally more of these
using X-ray radiography than when using gamma radiography, but
there were also a few specific caseswhere the opposite was
observed.
4.5 Comparison of defect detection for different defect
positions
Spacer plates were used to simulate different defect positions
through the specimen thickness. This change of defect position
would also change the geometric unsharpness for each defect.
To simplify the comparison, only the corresponding normal
incidence radiographs were selected. When all the reported
indications were taken into account, slightly more indications were
reported when the spacer plates were closest tothe source (i.e.
lower geometric unsharpness) as might be expected. However, there
were also a few indications reported with the spacer plates closest
to the film (i.e. higher geometric unsharpness) that were not
reported with thespacer plates closest to the source.
When the analyses were confined to the 13 selected planar
defects, the defect detection results showed there was hardly any
difference between the two geometric set-ups.
4.6 Defect detection as a function of other parameters
Other parameters such as penetrated thickness, the presence of
the weld cap, the defect TWE, the misorientation angle and the
typical gape were considered for their influence on defect
detectability. The parameters were consideredboth singly and in
pairs, as it is impossible to show all the relevant parameters in
this way on just one graph.
The results, in general, support the expected trends that
increasing penetrated thickness, increasing misorientation angle
and decreasing typical gape all contribute to making defect
detection more difficult. This is consistent withsimilar trends
observed in the earlier thick-section weld study.
[4]
4.7 Comparison of radiographic NDT and sectioning
Overall, the sectioning programme revealed defects at each of
the sectioning positions as determined by radiographic NDT (see
Figure 2 for example), except for a couple of cases In
many cases the lengths, TWEs and orientations were also in good
agreement.
Some particular problems were encountered with the 38mm specimen,
where the parent material contained a number of small inclusions,
which caused some difficulties with radiographic interpretation
(see Figure 3
Fig. 2. A photograph of defect W3-6A (cf. Table 1)
revealed by sectioning and detected by radiography
|
for example).
Fig. 3. A photograph of defect W5-2C (cf. Table 1) revealed by sectioning and detected by radiography
4.8 Realism of manufactured defects
The methods used by TWI for manufacturing and promoting realistic defects have been well established, but in some cases the methods used were difficult to control precisely. In this work the problems were made more difficult becauserelatively small defects were required.
The gape values for the 13 selected planar defects were compared with the comprehensive database of Oxford. [5] However, in making comparisons it was important to note that in the current work gape values were provided at only one slice position. In addition, only three gape measurements were provided (i.e. at the top, middle and bottomof the defect) as well as the maximum gape value. From these values a judgement was made as to the typical gape value (i.e. average gape).
In order to assess the realism of defects in the specimens here, the graphs of typical gape values vs. TWE, provided by Oxford, [5] were reproduced for lack of fusion and hydrogen cracking in the heat affected zone (HAZ). The typical gape value and maximum gape value for each of the 13 selected defects were added to the Oxford graphs.
The TWI defects show a reasonable overlap with the Oxford data, considering the limitations of the sectioning data for the TWI defects. There are however, some instances where the typical gape values from this study were relativelyvery small (e.g. typical gapes of the order 1 (m to 3µm) compared to gapes for similar TWE values in the Oxford data.
Acknowledgements
We wish to thank Dr R K Chapman and Mr G S Woodcock of British Energy plc for their support. The paper is published by permission of the Industry Management Committee (IMC) of the nuclear licensees, who also funded the work. The IMCcomprises members of British Nuclear Fuels Ltd and British Energy plc.
References
- Part 2: Modelling