Abstract

Image quality indicator (IQI) is selected based on the single and/or double wall thickness of pipe with or without considering the radiographic techniques or applied radiation source (x ray or gamma ray), in accordance with the sensitivity requirements of reference codes. Discrepancies in the codes and standards for sensitivity evaluation and IQI selection have been investigated in the present work and some experiments have been performed to measure the gamma ray or x-ray radiographic sensitivity for pipes and plates to compare the results with sensitivity requirements of the standards. Due to the considerable effect of scattering on the sensitivity, Monte Carlo method has also been used to simulate the scattering for gamma ray radiography of pipes and plates. Experiments revealed that 2% sensitivity based on the single wall thickness was attainable for double wall exposure and single wall viewing (DWSI) technique, but it could not be easily obtained for double wall exposure and double wall viewing (DWDI) gamma ray technique. Higher sensitivity was obtained for x-ray radiography and a considerable sensitivity reduction was found for in-service radiography of pipes. Achieved sensitivities were in good agreement with measured effective attenuation coefficients and simulation results which confirmed that scattering was, respectively, higher for DWDI radiography of pipe, radiography of single layer plate, and DWSI radiography of two layer plate with identical penetrated thickness. Therefore, IQI selection was proposed to be based on the single wall thickness of component except for DWDI Gamma ray radiography, which was proposed to be based on the double wall thickness.

References

1.
Bossi
,
R. H.
,
Iddings
,
F. A.
, and
Wheeler
,
G. C.
,
Radiographic Testing, Nondestructive Testing Handbook
, Vol.
4
,
ASNT, Inc. Publications
,
NY
,
2002
.
2.
Yan
,
L.
, and
Tianpeng
,
Q.
, “
Sensetivity Evaluation in Double Wall or Multi Layer Radiographic Inspection of Welds in Pressure Vessels
,”
Insight
 1060-135X, Vol.
45
, No.
10
,
2003
, pp.
672
-
675
.
3.
Edalati
,
K.
,
Rastkhah
,
N.
,
Kermani
,
A.
,
Seiedi
,
M.
, and
Movafeghi
,
A.
, “
In-Service Corrosion Evaluation in Pipelines Using Gamma Radiography — A Numerical Approach
,”
Insight
 1060-135X, Vol.
46
, No.
7
,
2004
, pp.
396
-
398
.
4.
Hugonnard
,
P.
, and
Gliere
,
A.
, “
X-ray Simulation and Applications
,”
Proceedings of International Symposium on Computerized Tomography for Industrial Applications and Image Processing in Radiology
,
Berlin, Germany
, 15–17 March 1999, Paper No. 17.
5.
Inanc
,
F.
, “
Scattering and its Role in Radiography Simulations
,”
NDT & E Int.
, Vol.
35
, No.
8
,
2002
, pp.
581
-
593
.
6.
Inanc
,
F.
, and
Gray
,
J. N.
, “
Scattering Simulation in Radiography
,”
Appl. Radiat. Isot.
 0969-8043, Vol.
48
, No.
10
,
1997
, pp.
1299
-
1305
.
7.
Inanc
,
F.
, “
Analysis of X-Ray and Gamma Ray Scattering Through Computational Experiments
,”
J. Nondestruct. Eval.
 0195-9298, Vol.
18
, No.
2
,
1999
, pp.
73
-
82
.
8.
Kwan
,
T. J. T.
,
Mathews
,
A. R.
,
Christenson
,
P. J.
, and
Snell
,
C. M.
, “
Integrated System Simulation in X-Ray Radiography
,”
Comput. Phys. Commun.
 0010-4655, Vol.
142
, No.
1
,
2001
, pp.
263
-
269
.
9.
Shimizu
,
A.
, and
Hirayama
,
H.
, “
Calculation of Gamma Ray Build-up factors Up to Depths of 100 mfp by the Method of Invariant Eembedding (II)-Improved Treatment of Bremsstrahlung
,”
J. Nucl. Sci. Technol.
 0022-3131, Vol.
40
, No.
4
,
2003
, pp.
192
-
200
.
10.
Bonin
,
A.
,
Chalmond
,
A. B.
, and
Lavayssiere
,
B.
, “
Monte-Carlo Simulation of Industrial Radiography Images and Experimental Designs
,”
NDT & E Int.
, Vol.
35
, No.
8
,
2002
, pp.
503
-
510
.
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