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REAL-TIME ADAPTIVE IMAGING FOR ULTRASONIC NONDESTRUCTIVE ... · real-time adaptive imaging for...

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11th NDE | May 19-21, 2015 | Korea REAL-TIME ADAPTIVE IMAGING FOR ULTRASONIC NONDESTRUCTIVE TESTING OF STRUCTURES WITH IRREGULAR SHAPES Sébastien Robert, Léonard Le Jeune, Vincent Saint-Martin CEA-LIST, 91191 Gif-sur-Yvette Cedex, France [email protected] Olivier Roy M2M, 1 rue de Terre-Neuve, 91940 Les Ulis, France [email protected]
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Page 1: REAL-TIME ADAPTIVE IMAGING FOR ULTRASONIC NONDESTRUCTIVE ... · real-time adaptive imaging for ultrasonic nondestructive testing of ... c 1 c 2 | 9 adaptive tfm 50 mm ... tfm pwi

11th NDE | May 19-21, 2015 | Korea

REAL-TIME ADAPTIVE IMAGING FOR ULTRASONIC NONDESTRUCTIVE TESTING OF

STRUCTURES WITH IRREGULAR SHAPES

Sébastien Robert, Léonard Le Jeune, Vincent Saint-Martin

CEA-LIST, 91191 Gif-sur-Yvette Cedex, France

[email protected]

Olivier Roy

M2M, 1 rue de Terre-Neuve, 91940 Les Ulis, France

[email protected]

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Immersion in a tank Flexible wedge

Nuclear weld nozzle Butt weld Resistance welding

Membrane filled with water

Examples of complex specimens

Immersion testing configurations

INTRODUCTION

Wheel probes

Local immersion control devices

Corrosion

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INTRODUCTION

Development of adaptive focusing algorithms for immersion testing:

Adaptive imaging under irregular and unknown surfaces

Compensation of probe misalignements/inclinations during inspection

TFM image

Poor image quality Adaptive TFM

2 MHz

64 elements 6 mm

Measured surface

Effects of irregular surfaces on ultrasonic imaging:

TFM : Total Focusing Method

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In M2M systems: Adaptive Total Focusing Method

Step1: Surface imaging Step2: Material imaging

Water

Water

Water

Steel

TFM image of the flaws

Why using the TFM algorithm?

A same set of data (FMC) is processed to image both the surface and the material

Accuracy of the surface measurement (focusing on every point of the surface)

Generalization to multi-modal and 3D imaging

INTRODUCTION

Adaptive focusing

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OUTLINE

• Total Focusing Method (TFM)

Full Matrix Capture

Focusing algorithm

• Adaptive TFM [1]

Surface measurement and adaptive focusing

Examples of post-processing results (CIVA)

Examples of real-time results (M2M)

• Alternative approach: Plane Wave Imaging (PWI) [2,3]

Plane Wave Imaging under complex surfaces

Examples of post-processing results and comparison with TFM

• Conclusions and perspectives

[1] L. Le Jeune et al., QNDE, AIP Conf. Proc. 1650, 1037 (2015)

[2] S. Robert et al., French patent n°FR1363246 (2013)

[3] L. Le Jeune et al. International Congress on Ultrasonics (2015)

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• N successive shots (N : nb of elements)

• One shot: 1 transmitting element

All elements receiving

TOTAL FOCUSING METHOD

Full Matrix Capture (FMC) and TFM

1 transmitter

All receivers

NxN signals sij (t)

Steel

N-element array

Incident wave

Backscattered waves

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• N successive shots (N : nb of elements)

• One shot: 1 transmitting element

All elements receiving

TOTAL FOCUSING METHOD

Full Matrix Capture (FMC) and TFM

1 transmitter

All receivers

NxN signals sij (t)

Steel

N-element array

1. Calculation of times of flight tij(P) for all

the T-R pairs (i ; j) and points P in the image

tijP = Ti

P +Tj

P

2. Summation of NxN amplitudes sij[t =tij(P)]

1 1

( )N N

Pij ij

i j

A P s t t

TiP Tj

P

P

i j

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ADAPTIVE TFM

1st step: TFM imaging in a semi-infinite water medium

TiP

TjP

P Surface imaging Geometry extraction

Water

Steel

Elt n°i Elt n°j

: time of flight in water 1 1

( )N N

Pij ij

i j

A P s t t

tijP = TiP +TjP

Water

Water

2nd step: dynamic time-of-flight calculation and TFM imaging in the material

x z

P(x2,z2)

E(x1,0) Time of flight from element E to focusing point P:

M(x ,z)

2 2

2 21 2

1 2

1 1( , ) EPt x z x x z x x z

c c

Impact point M(x0 , z0) determined with the Fermat’s principle:

0 0,

( , ) min ( , )EP EPx z

t x z t x z

c1

c2

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ADAPTIVE TFM

Array (64 els, 2 MHz) 50 mm

Irregular surface Concave surface Convex surface

Examples of post-processing results

Surface image Surface image Surface image

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ADAPTIVE TFM

Examples of post-processing results

(1) Surface imaging

(2) Back-wall imaging

Adaptive TFM for crack-type defects

Imaging with half-skip modes Imaging with direct paths

Complete 2d geometry

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Experimental set-up

Array: 64 elts - 5 MHz

Water-filled flexible wedge

Aluminum specimen

Holes

(diameter: 2 mm)

Notches

(thickness: 10 mm )

30 mm 6 mm

Examples of real-time results

ADAPTIVE TFM

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Examples of real-time results

ADAPTIVE TFM

Probe displacement of 250 mm

Adaptive TFM disabled

Adaptive TFM enabled Measured surface

Probe

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Examples of real-time results

ADAPTIVE TFM

Application: Thickness mesurement in welds

(corrosion detection)

Control

Side view Bottom view

Phased-array:

64 elts - 10 MHz

0.25 mm pitch

Probe displacement

Surface profile

Back-wall echo

Defects?

~12 mm

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PWI under complex interfaces

PLANE WAVE IMAGING

PWI: One shot = all elements

+ Delay law

Plane wave

Cylindrical wave

Wave with low acoustic power Wave with higher acoustic power

TFM: One shot = one element

Less sensitive to noise and attenuation

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PWI under complex interfaces

PLANE WAVE IMAGING

TFM: One shot = one element PWI: One shot = all elements

TFM and PWI imaging algorithms are the same but:

P P

i-th elt j-th elt

TiP

TjP

q-th plane wave

TqP Tj

P

TqP : time of flight of the q-th plane wave Ti

P : time of flight of the i-th cylindrical wave

1 1

( )

N N

P PTFM ij i j

i j

A P s T TTiP +Tj

P 1 1

( )

Q N

P PPWI qj q j

q j

A P s T TTqP +Tj

P

Q << N High frame rate with PWI

j-th elt

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PWI under complex interfaces

PLANE WAVE IMAGING

64 shots with 1 element 9 shots with 64 elements

Better SNR

TFM PWI

+20°

-20°

Incident plane waves

5° step

Array: 64 elts - 5 MHz

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PWI under complex interfaces

PLANE WAVE IMAGING

140 160 180 200 220 240 260 280

30

35

40

45

50

0.5

1

1.5

2

2.5

3

3.5

x 106

140 160 180 200 220 240 260 280

30

35

40

45

50

1

2

3

4

5

x 106

TFM

PWI

Displacement of 140 mm (5 mm step)

Displacement of 140 mm (5 mm step)

9 shots per position

(-20 to 20°)

64 shots per position

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Adaptive TFM imaging in a M2M prototype UT system

Frame rate up to 10 fps (PA with 64 elements)

New local immersion control solution: flexible wedges + adaptive TFM

Various applications: thickness measurement (corrosion), defect detection under

complex surfaces (butt welds, nozzles, resistance welding…)

ADAPTIVE TOTAL FOCUSING METHOD:

PERSPECTIVES AND CONCLUSIONS

1st shot 2nd shot 3rd shot

Array + complex specimen Iterative SAUL processing Fast surface measurement

Adaptive TFM: commercial version in early 2016 (Gekko system)

Adaptive Plane Wave Imaging: use the SAUL method for fast surface measurement [4]

PERSPECTIVES:

[4] S. Robert et al. QNDE, AIP Conf. Proc. 1650, 1657 (2015)

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Département Imagerie Simulation pour le Contrôle

Commissariat à l’énergie atomique et aux énergies alternatives

Institut Carnot CEA LIST

Centre de Saclay | 91191 Gif-sur-Yvette Cedex

T. +33 (0)1 69 08 75 97 | F. +33 (0)1 69 08 32 18

Etablissement public à caractère industriel et commercial | RCS Paris B 775 685 019

Thank you for your attention.

Questions ?


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