Status of advanced UT systems for the nuclear industry

Status of advanced UT systems for the nuclear industry

Nuclear Engineering and Design 102 (1987) 265-273 North-Holland, Amsterdam 265 STATUS OF ADVANCED UT SYSTEMS FOR THE NUCLEAR INDUSTRY M. B E H R A V...

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Nuclear Engineering and Design 102 (1987) 265-273 North-Holland, Amsterdam

265

STATUS OF ADVANCED UT SYSTEMS FOR THE NUCLEAR INDUSTRY M. B E H R A V E S H , M. A V I O L I , G. D A U a n d S.-N. L I U Electric Power Research Institute, P.O. Box, 10412, Palo Alto, CA 94303, USA

Received December 1986 Ultrasonic NDE technology has advanced a great deal within the last two years. Advances have been so rapid that it is often difficult for a utility NDE manager to keep informed of all of the available inspection systems and their capabilities. The terms and concepts used by the developers and manufacturers of the equipment may leave the end user in a state of apprehension when a problem appropriate to an advanced system arises. EPRI is supporting efforts whose goals are to aid the utility NDE manager by providing him with a guide for selection and use of advanced systems and workshops to disseminate the latest information.

1. Introduction An advanced ultrasonic testing (UT) system is a configuration of hardware that includes some type of computer. The computer may be hardwired to perform specific functions or have appropriate software. It may typically be used for data acquisition, signal processing, image generation, pattern recognition and data analysis. Additionally, advanced systems have data storage and are, therefore, different from the standard transducerpulser/receiver systems that rely on human filtering and written documentation of the filtered data. See fig. 1. More and more utilities and service vendors are using or are considering an advanced UT system for preservice (PSI) and inservice (ISI) inspections. A major utility has purchased five Amdata's IntraSpect Ultrasonic Imaging systems. Another has bought and is using a NES/Dynacon's UDRPS system. Science Application Inc's Ultra Image III, along with lnfometric's TestPro software, is being used for turbine rotor bore inspection. lntraSpect imaging technology is being combined with pattern recognition capabilities by a leading service vendor. Fig. 2 shows typical hardware configurations. New and potential users of advanced UT systems are increasing in numbers every day. What these systems offer is so attractive that regulatory agencies consider their deployment an "intelligent choice" for inspection.

2. Background

is the radiation background that is present and increases with years of service. Inspection personnel must always consider the ALARA guidelines (As Low As Reasonably Achievable) for radiation. The human factors include biological hazard and psychological stress. Under these pressures, the data processing capabilities of the human brain are also limited. This is why UT inspection data, when collected manually, is usually in summary form. On the economic side, inspection costs are tied directly to the radiation dose rate at the inspection site. Allowable radiation dose per quarter is regulated and oftentimes results in shortages of qualified personnel to perform UT ISI in nuclear plants. This has economic impact via the deployment of limited personnel to do a job that has not changed in size or scope. The longer the down time, the higher the cost of purchasing replacement power to counter the loss of generating capacity. Advanced systems were developed with the goals of reduced radiation exposure and increased reliability. These systems use scanners for highdensity coverage of components, and since some of them are mechanized and remotely controllable, radiation exposures to personnel can greatly be reduced. Fig. 3 shows the AMAPS in a mechanized scanner developed by EPRI. Digital recording and processing data facilitate repetition of stored scan patterns, data logging for data review, and application of signal processing techniques for noise reduction.

The most significant difference between nuclear power plant UT inspection and, say, aircraft inspection, 0 0 2 9 - 5 4 9 3 / 8 7 / $ 0 3 . 5 0 © Elsevier Science Publishers B.V. ( N o r t h - H o l l a n d Physics Publishing Division)

266

M. Behrauesh et al. / Status of aduanced UT.wstems

TRANSDUCER

i

RECEIVER

Fig. la. Standard UT inspection - Hardware configuration.

TRANSDUCER(S)

:

1

SC,NNER ! ¸11/%!¸¸¸¸!¸¸! i I

/ RECEI VER

,

ENHANCED SIGNALS

Fig. 2a. Imaging system packaged for field deployment.

CONTROLLER

COMPUTER

I J

Jl t

IMAGES

FEATURES INFERENCES

Fig. lb. Advanced UT inspection - System configuration.

3. Advanced systems T h e n u m b e r of systems becoming commercially available is growing each year. The N D E managers of utilities, the end users of these systems, are often faced with the decision as to " W h a t system is right for my inspection problem?". " I s an advanced U T system a cost effective way to go?". To help this group, the Electric Power Research Institute (EPRI) has initiated a project whose end product will b e a Utility N D E Managers' G u i d e to A d v a n c e d U T Systems. A short

Fig. 2b. Imaging system in off line mode.

s u m m a r y of the available data to date will be presented here. Tables are used to give an immediate overview of capabilities. There are two b r o a d classifications of advanced U T systems. These are feature-based systems and imagebased systems. A feature-based system is very similar in concept to a radar system for aircraft. Parameters, or " f e a t u r e s " are extracted from the ultrasonic signals

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M. Behravesh et al. / Status of advanced UT systems

accumulated during a n inspection. These features are believed to c o n t a i n i n f o r m a t i o n a b o u t the reflector the p r o d u c e d the original ultrasonic echo. As in radar,

processing of echo features can be used to identify the reflector. Fig. 4 illustrates this concept. Imaging systems use arrays of ultrasonic signals o b t a i n e d from surface

Table 1 Commercially available automated UT systems/services - Hardware Intraspect 98

P-Scan

SOL-1000

SMART UT

UDRPS

Ultra Image 111

Zip-scan

V e n d o r - Service group:

Amdata Inc./CE

Independent Testing Labs. & Universal Testing Labs. Inc.

Sigma Research Inc.

General Electric Company

NES/Dynacon Systems Inc.

Ultra Image International

U.S.Testing Company Inc.

Automated scanner

AMAPS

AWS-4

SOL-1003

ALARA-1 or AMAPS

ALARA-1, AMAPS or VERSASCAN

ALARA-1 or AMAPS

MIMIC

MWS-2

SOL-1004

General Dynamics

VERSASCAN

Ultra Image std. minature

Rigid track flex-steel & mag. wheels or plastic belt

Rigid track or flex-steel & mag. wheels

Semi-automated scanner Guide track & mounting

Felx-steel with mag. wheels

Steel track with timing belt

Flex-steel with lock-on carpiage

Rigid track or flex-steel & mag. wheels

Scanner controller

Computer interfaced &joystick

Computer interfaced

Computer interfaced

Controller W / Computer auto or manual interfaced or computer &joystick interfaced

Transducer

Contact or booted

Contact

Contact & Contact immersion or booted

Contact, booted or mult. (6) array

Contact or booted

Contact

UTcomponents

Metrotek

P-Scan

SDL-1000

Ultra image III

Any commercial unit

Ultra Image III

Zipscan

Data storage

Hard disk & floppy & cassette

Magnetic tape cassette

Hard disk & floppy

Hard disk Hard disk. 9-track or & floppy & VHS of A-Scan optical disk or RF

Hard disk & floppy

Hard disk & floppy

Data display

RGB color CRT

B/w CRT

RGB color & B/W CRT

RGB color & B / W CRT

Ramtek color CRT

RGB Color & B / W CRT

B/W CRT

a/w &

VHS & color polaroid

Ramtek Versatec & techtronix color

Techtronix 4632/4634 & matrix color polaroid

3M VRG 40OO

Ultra image III

HP-1000 & AP 400 array processor

Ultra Image III Z-80 80286/8087 Z-80 80286/8087

LSI-11/73

Hardcopy unit

Computer - data processing

(2 EA.)

Techtronix & color polaroid

EPSON FX 80

HP 9836C

P-Scan processor

color polaroid SDL-1001

Flex-chain & non-metallic wheels

Controller W / Computer auto or manual interfaced or computer interfaced

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M. Behrat, esh et al. / Status of adt,anced UT systems

scanning to create "pictures" of reflectors located within a material. The purpose of the images is to assist an inspector in obtaining information on the spatial char-

acteristics of his inspection problem. EPRI is currently examining systems that combine feature-based and image-based capabilities into, as they

Table 2 Commercially available automated UT systems/services - Software

Vendor group:

Service

Scan motion Acial Circumferential Skew

Data recording Amplitude Position Arrival time

RF waveform Rectified waveform Instrument settings

Intraspect 98

P-Scan

SDL-1000

SMART UT

UDRPS

Ultra Image II1

ZIP-Scan

Amdata Inc./CE

Independent Testing Lab & Universal Testing Lab

Sigma Research Inc.

General Electric Company

NES/Dynacon Systems Inc.

Ultra Image lnternatl

U.S.Testing Company Inc.

mmm mmm mmm

mmm mmm mmm

mmm mmm mmm

mmm mmm

mmm mmm

mmm mmm

mum mmm

mum

mmm

mmm

mmm

mmm mmm

mmm mmm

mmm mmm

mmu mmm

mmm mum

mmm mmm

mmm mmm

mmm mmm

mmm

mmm

mmm mmm

mmm mmm mmm mmm

mmm

mm• mmm mmm

mmm

mmm • mmm mmm

mmm mmm mmm mmm

mmm

mmm mmm mum mmm mmm mmm mmm mmm mmm

mmm mmm mmm

mmm mmm mmm

mmm

Data display A-Scan B-Scan C-scan 3-D Isometric

mmu mmm mmm •

Projected views Time-of-flight Flaw map

mum

mum

mmm

mmm mmm

mnm

mmm

Zoom

Dac curves Averaging Temporal averaging Spatial averaging Synthetic apeture Holography SAFT A rtificial intelligence ALW Feature extraction Pattern recognition Sitting techniques Tandem technique Mode conversion techniq Creeping wave Crack tip diffraction mmm fulll capability



partial capability

mmm mmm mmm

mmm

mmm



mmm mmm

mmm

mmm mmm



mmm •



mnm



mmm

mmm

mmm

mmm mum mum

mmm mum

mmm mmm mmm

mmm mmm

M. Behravesh et al. / Status of advanced UT systems

269

Fig. 3. The AMAPS mechanized scanner. Table 3 Commercially available components supporting automated UT systems System

Manufacturer

Function/Description

ALARA-1

Virginia Corp.

An automated mechanical scanner and scanner controller that can be interfaced to a computer. Mechanical system provides skew motion as well as standard scan motion. Rigid track and guide assembly.

ALN

Adaptronics/ Gen. Res. Corp.

Adaptive Learning Network (ALN) allows training of the system to distinguish key features of the U T signal unique to specific defects or conditions and assists the inspector in confirming defect or geometry conditions.

AMAPS

Amdata systems inc.

An automated mechanical scanner and scanner controller that can be interfaced to a computer. Configured for hard shoe or booted transducer assembly. Flex-steel, wrap around track with magnetic wheels.

ROBBI

Kraftwerk Union

An automated U T inspection system designed primarily for flaw sizing and not significantly used for initial inspection and detection. System is presently being reconfigured for full inspection use.

SDL-1000

Sigma Research Inc.

An automated U T inspection system capable of A, B, C and 3D scan imaging but principally designed for ultrasonic holography inspection and high resolution imaging of previously detected indications.

SUTARS

Southwest Research Institute

An ultrasonic tracking system used with manual U T to integrate scan position with UT data. Tracking sensors strap to pipe to provide position data for hand held transducer.

TEST PRO

Informetrics Inc.

IBM PC based hardware and software allows integration of all automated U T components and assories to provide fully automated U T system. PC is a value-added component to current automated U T systems. RF waveforms are recorded: artificial intelligence and pattern recognition algorithms are built into the software. Provides additional analysis capability using standard PC software such as Lotus 1-2-3.

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M. Behral;esh et al.

/ Status qf adt, anced UT ~vstems

~quisition

R-F W A V E F O R M

Signal processing

/ /L ENVELOPE

peak Feature

extraction

ItT Pattern

recognition r Y = W 0 + W 1 • RT + W 2 • PD + W 3 " FT IF Y > T

Class 1

IF Y < T

Class

(crack)

2 (root)

Fig+ 4. Feature-based U T analysis concepts.

M. Behravesh et al. / Status of aduanced UT systems

271

Table 4 Not yet commercial automated UT systems and technologies System

Developers

Function/Description

ALOK

IzFP & Kraft Werk Union

Amplitude detection with time-of-flight signatures are used to detect flaw conditions. System uses standard UT transducers but is being upgraded to incorporate phased array transducer and will be capable of ALOK, ultrasonic holography and line SAFT imaging.

CUDAPS

EPRI & Adaptronics Gen. Res. Corp.

Computerized Ultrasonic Data Acquisition & Processing System (CUDAPS) incorporates ALN systems to provide a complete automatic UT system. Major components are ALN-4060 Flaw Discriminator, LSI-11 Microprocessor and AMAPS scanner controlled by an ALN-4033 Scan Controller. System has been configured at the EPRI NDE Center.

PVIS

EPRI & Sigma Research Inc.

Pressure Vessel Imaging System (PVIS) is an ultrasonic holography inspection system for heavy section steel inspection. The system can perform A, B, C, 3D and holographic imaging and integrate multiple images into final 3D images. System under evaluation at NDE Center.

SAFT

NRC, BattelleNorthwest & CE

Synthethic Aperture Focused Technique (SAFT) is a UT technology which provides focused UT images in the complete inspection volume. A transducer or point UT source is scanned over the volume surface and resulting UT data is analyzed to provide very high resolution focused UT image data at all points in the inspection volume.

Sector Scan

EPR1 & Vintek, Inc.

Real-time sector scan UT imaging uses a phased array or mechanically scanned transducer to provide real-time L and S wave images in a sector B-scan mode. Technology is similar to commonly used medical real-time sector scan units.

are conceived, feature-enhanced imaging systems. Considerations are being given to the use of Personal C o m puters (PC's) for the h a r d w a r e and software needs of these systems. Tables 1 a n d 2 cover systems that are in use today. T a b l e 1 lists the hardware that comprises these systems. The software and software function capability of these systems are listed in table 2. The systems m e n t i o n e d are not restricted to tables 1 and 2 hardware a n d software. T a b l e 3 describes commercially available c o m p o n e n t s that m a y be used as alternatives a n d / o r e n h a n c e m e n t s . Several U T systems that are still u n d e r d e v e l o p m e n t are listed in table 4.

4.

A major concern of the utility N D E m a n a g e r is the compliance of the system he chooses with N R C guidelines. The U S N R C has issued guidelines that define m i n i m u m acceptable performance requirements. Qualification tests have been developed to evaluate advanced U T systems against the established criteria defined by the N R C . Systems that have met all of the U S N R C requirements for I G S C C detection a n d sizing are listed in table 5.

5.

Table 5 Advanced systems satisfying IGSCC demonstration requirements System

Detection

Sizing

ALARA 1 ANL 4060 CUDAPS Intraspect P-Scan Sutars Robie Ultra Image III UDRPS Zipscan

x x x × x x

x

x x x

x x x × x

Qualification

Cost-effectiveness

A n o t h e r concern of the utility N D E m a n a g e r is the cost-effectiveness of inspections with advanced systems. Benefits most frequently cited by experienced utility users, service groups, a n d vendors are: - Better, a n d more complete coverage Traceable results - P e r m a n e n t recording Real-time results - Fewer o v e r / u n d e r calls D a t a comparison Post r e v i e w / a n a l y s i s Better reliability - Low-radiation exposure

70 95

140 140 40 550

4. Average M U T inspection speed: (weld i n c h e s / 1 0 h shift)

5. Average A U T inspection speed: (weld i n c h e s / 1 0 h shift)

6. Average number of welds inspected per outage

7. Average number of weld inches inspected per m a n per outage

These are for DOE work and may not be representative. Utility response - 3 out of 16 with 1 N.A. Vendor response - 9 out of 13 with 4 N.A. Total response - 41% Effective response 24%

Effective A U T / M U T cost ratio (item lb divided by item 9).

9. A U T / M U T benifits ratio

8. Benifits

1.00

3.00

3. Estimated A U T / M U T cost ratio

2.00 0.48

4.00 0.75

500

100

1.25

2.00

500

75

400

200

2.50

83 17 120 6000 20.83 5 5 20 " 150" 83.00 ~

7 93 40 1500 9 5 4 150 1,000 ?

90 10 25 1750 28.00 10 10 250 1,600 8.00

2. In your recent experience for an average UT inspection, what is the: (a) % A U T Inspection (b) % M U T Inspection (c) Total number of welds inspected (d) Total number of weld inches inspected (e) Estimated cost to the utility per weld inch (f) Average % repeat inspection including sizing (g) Average % sizing (h) Average radiation level at weld size ( m R / h ) (i) Average inspector (Level 1/ll) exposure per outage (j) Average cost per m R for total outage

3

35000 2.50

2

?

?

?

60

240

240

1.10

50 50 100 5000 50.00 10 7.5 50 600 ?

10000 1.00

4

Utility, Vandor or Service Group 1

1. Type of automated U T system. (GEDAS. Intraspect, P-Scan, U D R P S & G E S M A R T UT) 9000 1500 (a) Approximate inches of weld inspected (b) Estimated cost compared to equivalent manual U T inspection ( M U T ) 3.00 0.90

Table 6 A U T / M U T cost questionnaire summary 7 / 1 0 / 8 6

1.73

1.10

?

300

?

300

1.90

0 100 200 7500 '~ 1 1 30 1,200 ?

500 1.90

5

0.40

5.00

160

130

140

80

2.00

90 10 130 8380 61.00 20 2 500 1,200 9.23

67000 2.00

6

1.25

2.00

102

,)

q

2.50

,)

9

o

,)

9

q

9

q

,)

7190 2.50

7

0.56

3.82

302

222

132

2.15

83 17 116 6855 46.02 14 4 415 1,169 9.08

130190 2.14

Weighted average &totals

r,.--

I-J

314. Behraoesh et al. / Status of aduanced UT systems

Immediate sizing Documented data - Potentially lower cost. Many of the above benefits have significant long-term cost payoffs that are only realizable over a long time and are not immediately measurable. Each advanced system has different features and components which its marketing literature vigorously promotes. It is not always easy to identify the components or feature most important to a particular utility need. If a significant repair cost can be avoided because of the use of a U T system with advanced data display capabilities, it makes little difference if the system also possesses advanced pattern recognition capabilities. Both capabilities are equally important, but certainly not needed by all utility end users a n d / o r applications. To obtain cost information on a u t o m a t e d / a d v a n c e d U T inspection, a survey of the utilities, vendors, and service groups who have used such systems was conducted. Table 6 summarizes the findings of this survey. A total of 29 utilities and inspection service groups were surveyed. Twelve groups or 41% responded; how-

-

273

ever, several had no relevant data which gave an effective response of 21%. Those responding represent a total of more than 120000 inches of welds that have been inspected by advanced U T - about 1900 equivalent 20-inch diameter pipe welds. The data includes G E D A S , IntraSpect, P-Scan, and U D R P S inspection results. Recognizing that inspections with advanced U T systems provide benefits not readily available with manual UT, the initial equipment cost must be scaled accordingly to obtained the effective inspection cost. Specifically, to obtain the effective cost ratio of advanced U T to manual U T inspection ( A U T / M U T ) , the initial A U T / M U T cost ratio must be divided by the benefit ratio. The average initial A U T / M U T cost ratio was 2.12 - advanced U T inspection initially cost 2.12 times more than equivalent manual U T inspection; the average advanced U T to manual U T benefit ratio was 3.93. Therefore, the average effective A U T / M U T cost ratio is 0.64 and hence the effective cost of advanced U T inspection comes out to be less than two-thirds of the cost of equivalent manual U T inspection.