Ultrasonic imaging of a turbine blade model using a
360° synthetic-aperture-focusing-technique and
reverberation suppression
Thomas Scharrer
*
, Andreas Koch
§*
, Stefan J. Rupitsch
*
,
Alexander Sutor
*
, Helmut Ermert
§*
, Reinhard Lerch
*
*
Chair of Sensor Technology, Friedrich-Alexander-University Erlangen-Nuremberg
§
High Frequency Engineering Research Group, Ruhr-University Bochum
Email: thomas.scharrer@lse.eei.uni-erlangen.de
Abstract—In this contribution, we present a method to comple-
ment missing X-ray computed tomography (CT) data of irregular
shaped metallic specimen, like turbine blades, by ultrasonic
testing in immersion mode. Therefore, an adapted 360° synthetic-
aperture-focusing-technique (SAFT) is used to obtain particular
information of the inner pattern of the specimen. These structural
information cannot be imaged by X-ray CT due to limited pene-
tration in specific directions and consequently absent projections
in the dataset. However, arising artifacts caused by refraction
and signal reverberation impede the detection of the desired
structural information by ultrasonic testing of those irregular
metallic specimens. To cope with refraction effects caused by the
immense discrepancies in speed of sound (SOS) at the interface
of the couplant and the specimen, the approach is based on
virtual source elements. Furthermore, the covering of near-
surface structures by the first reflection signals is treated by
a subspace based filtering approach and signal reverberation
artifacts are suppressed by predictive deconvolution.
I. I NTRODUCTION
Today, X-ray 3D cone-beam computed tomography (CT)
is a common method in non-destructive evaluation of turbine
blades [1]. However, materials used in such investigations
are intensely scattering and consequently, artifacts such as
cupping, streaks and a reduction in contrast arises in the
reconstructions [2]. For large scale samples, limited pene-
tration is observed additionally. This leads to missing spe-
cific projections and therefore to blurred edges in the non-
transmissive directions (Fig. 1). An approach to eliminate such
artifacts is the supplementation of the incomplete dataset by
complementary information gained with other testing methods
(e.g., ultrasonic testing, optical 3D surface scans) [3]. The
3D scan enables a correction of blurred contour edges while
ultrasonic testing copes with inner structures.
In this contribution, an ultrasonic evaluation method is
presented to provide such complementary data of irregular
shaped metallic specimens with the a priori knowledge of the
specimen’s contour. To account for these curved surfaces of
the specimens, it is reasonable to use ultrasonic immersion
mode testing. However, due to the substantial discrepancies
in the speed of sound (SOS) of the couplant with respect to
the specimen’s material, the detection of desired structural
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1
10 mm
normalised
houndsfield unit
blurred edges
Fig. 1: X-ray CT reconstruction of the examined specimen.
Due to limited penetration, artifacts arises as blurred edges of
inner structures and the contour.
information is impeded by refraction and reverberation ef-
fects. Therefore, an adapted 360° synthetic-aperture-focusing-
technique (SAFT) based on a virtual point source is applied
to cope with surface refraction [4]–[6]. But as a result of a
full angle SAFT, echoes of the desired structures are rever-
berated from the specimen’s surface and mask target echoes
of illumination angles in the contrary illumination half-plane.
So it is extremely difficult to identify the inner structures of
the specimen and separate them from ghosts. Accordingly,
an adequate suppression or at least a sufficient mitigation of
multiples is important. Most of the existing approaches deal
with an ideal acoustic wave propagation model in layered
media [7]. In this paper, predictive deconvolution (PD) is used
for dereverberation purposes. It is a common method for the
removal of multiples in seismic exploration [8]–[10] and has
also been applied to ultrasonic evaluation [11]. Additionally, a
subspace based orthogonal projection is utilized to mitigate the
signal echoes of the contour of the specimen, which mask near-
surface structural information. This method is predicated on a
principal component analysis (PCA) and is used in ultrasonic
testing mostly for clutter suppression caused by reverberant
layers [12].
The paper is composed as follows. Sec. II describes a specimen
representing a model of a turbine blade. The applied measure-
ment principle based on the adapted SAFT and successive
signal data processing by means of subspace analysis and
projection as well as subsequent predictive deconvolution are
150 978-1-4673-5686-2/13/$31.00 ©2013 IEEE 2013 Joint UFFC, EFTF and PFM Symposium
10.1109/ULTSYM.2013.0039