Phased Array Assisted Manual Nozzle Inspection Solution with Data Archiving Capability

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19 th World Conference on Non-Destructive Testing 2016 Phased Array Assisted Manual Nozzle Inspection Solution with Data Archiving Capability Jason HABERMEHL 1, Nicolas BADEAU 1, Martin ST-LAURENT 1, Guy PREFONTAINE 1 1 Olympus Scientific Solutions Americas, Quebec City, Canada Contact e-mails: jason.habermehl@olympus-ossa.com, nicolas.badeau@olympus-ossa.com Abstract. Ultrasonic inspection of complex components usually requires either manual UT, implying challenging signal interpretation and no data archiving, or the use of complex 3-D scanners to ensure full volumetric inspection of the part and volumetric reconstruction of the data. Olympus is currently developing an inspection solution for nozzles that incorporates an assisted scan plan generator, a real-time 3-D phased array probe tracking system, and real-time volumetric ray-tracing that takes into account the rebounds from the complex geometry. This solution simplifies manual phased array inspection and provides C-scan imaging and data archiving without dedicated, expensive scanners. Economic and easy to deploy, it is designed to meet the requirements of ASME standards. This paper will present how this solution enables accessible and reliable manual inspection of complex components such as nozzles. Introduction Because of their complex geometry, nozzles are usually difficult to inspect, from the scan plan creation to data interpretation. Nozzles are currently inspected using either manual inspection with conventional ultrasound (UT) or a motorized or semi-automated scanner. Both of these methods have pros and cons, some of which are listed in table 1. Table 1. Pros and cons of current nozzle inspection techniques Pros Cons Manual inspection Cheaper equipment Flexibility on geometry Can maximize signal Inspection time is very long Usually no data archiving Automated inspection Archiving data Coverage can be assure Expensive equipment Flew flexibility on geometry Cannot maximize signal Manual inspection of nozzles is less costly than an automated solution because it requires less equipment: an acquisition unit and a conventional transducer is all that is needed. However, a single A-scan view can be very difficult to interpret and only a handful of experts are able to do so. Automated inspection using a complex scanner is usually faster than manual inspection and since the data is acquired with encoders, signal interpretation is License: http://creativecommons.org/licenses/by-nd/3.0/ 1 More info about this article: http://ndt.net/?id=19554

slightly easier yet still challenging because of the variable effect of the geometry on the sound propagation within the component. The major drawbacks of the automated method are its lack of flexibility and the high cost of the equipment. Olympus is currently developing a nozzle inspection concept that features an assisted scan plan generator, a real-time 3-D tracking system for the probe, and real-time volumetric ray-tracing software. The solution aims to simplify manual phased array inspection of complex shapes such as nozzles and provide C-scan imaging and data archiving without expensive and inflexible automated scanners. This paper presents how the solution works as well as some results obtained with the system. 1. Assisted Manual Nozzle Inspection Concept Olympus is developing an inspection concept that unites the flexibility of manual inspection with the data archiving capability and coverage assessment of automated inspection. The solution also assists the inspector in interpreting acquired data using volumetric ray-tracing imaging. The proposed concept incorporates phased array (PA) technology for better coverage and faster inspection than conventional ultrasound The solution includes four distinct aspects: the first is a scan plan generator that determines the necessary index positions to ensure full weld coverage along the scan axis. The second aspect is the encoding system, which is a 3-D tracking infrared (IR) camera. The third aspect is the data archiving capability of the system, which can be configured by the inspector to selectively save data based on certain tolerances. The last aspect is the volumetric ray-tracing, which can be use in live mode or in offline mode; this feature helps the inspector identify where the echoes originate in the part. Figure 1 shows the complete inspection system with an IR camera, IR passive targets, a nozzle sample, a probe and wedge, and an acquisition unit. Figure 1 Photo of the Olympus assisted manual nozzle system 1.1 Aspect 1 Assisted Scan Plan Generator To ensure full coverage of the weld, a scan plan generator was designed specifically for this application. For the generator to work, the inspector needs to input the dimensions of both pipes and the geometry of the weld. The generator then considers the weld profile at 0 and 90 to generate the scan plan (see Figure 2). The current default acoustic configuration consists of a sectorial scan from 40 to 70. The small footprint of the 5L16-A10 probe with the SA10-N55S wedge is advantageous for this application. 2

Using the defined geometry, the scan plan generator gives the inspector the necessary index offset to provide volumetric coverage of the entire weld. If a single index offset cannot provide sufficient weld coverage, a second inspection position is proposed. If the scan plan is not satisfactory, the inspector can adjust the index offsets and the gates position as desired. Figure 2 Nozzle representation with weld cross-section at 0 and 90 scan position To make sure that the index offset and the gate position enable full coverage of the weld, a report is generated that shows what areas are covered by the different focal laws at both positions (0 and 90 ). Figure 2 (bottom) shows the view provided in the report. The rays shown in this figure represent the beam portion within the gate range. The different beam colours (blue and orange) represent different index positions. 1.2 Aspect 2 3-D Real Time Tracking System To ensure inspection of the entire weld and to trigger data acquisition, a 3-D tracking system is used to measure the position and orientation of the probe relative to the nozzle. An IR camera is used with passive targets, two of which are placed on the nozzle and a third one on the probe. The tracking system is connected directly to the acquisition unit. The positions measured by the camera are translated into scan positions, index positions, skew angles, and elevations. The previously generated scan plan is also imported into the acquisition unit. The latter indicates to the inspector the difference between the real position and the scan plan position, allowing the inspector to adjust the probe s position in real time in order to follow the scan plan. When the inspector reaches a valid scan plan position, the scan position is shown by the acquisition unit and the data is saved. The inspector can then move the probe to the next scan position. 1.3 Aspect 3 Data Archiving One of the particularities of this system, when compared to manual UT inspection, is that data is saved for each position along the scan axis. However, attaining the exact scan position dictated by the scan plan may be extremely difficult. This is why the system enables the inspector to decide the tolerances of the scan position. Thus the inspector only needs to attain 3

an area around the scan plan path for the data to be saved. This concept is shown in Figure 3, where the exact scan plan path is represented in red and the acceptable area around the scan position is shown in green. Figure 3 Top representation of the nozzle with the data archiving zone (in green) around the perfect scan plan path (in red). Because of this particularity, the inspector must input tolerances into the scan plan before exporting it into the acquisition unit. Acceptable tolerances on the position and orientation of the probe with regard to the scan plan are required for the system to know when to trigger data acquisition. Tolerances are needed for the index offset (Idx), the height (EI), and the skew angle (Sk). They are described in Figure 4. Figure 4 Scan plan tolerances representation on the nozzle As with a conventional encoded scan, when the inspector moves the probe back and forth over a scan position, the saved data changes, and the C-scan is modified by retaining either the last detected data or the maximum amplitude in the gate for a given position. 1.4 Aspect 4 Volumetric Ray-Tracing Another valuable aspect of the Olympus nozzle inspection concept is the volumetric raytracing. Two different modes are available, live or offline. Both modes enable the inspector to identify the position of signals in the part for any scan position. The volumetric ray-tracing works with the setup file that was initially created. For live mode, the position and orientation of the probe is sent from the acquisition unit to the raytracing software. With this information, the software shows the cross-section of the weld corresponding to the probe position. The beams are traced in this cross-section so the inspector is provided a clear picture of the beam propagation path. However, the inspector cannot easily determine the precise origin of a signal by examining only the ray-tracing image. To ease this interpretation, the software plots the maximum amplitude point of each 4

beam within the gate, which is displayed in the C-scan. Examples of this feature are shown in Figure 8 for different types of flaws. The offline ray-tracing mode uses a limited yet simple approach. The inspector can see the position of a particular signal in the weld by manually entering the following three parameters: the scan position, the beam angle, and the time-of-flight of the signal in the selected beam. Figure 5 shows an example of the offline analysis ray-tracing mode. Figure 5 Offline ray-tracing mode example. 2. Results The Olympus nozzle inspection concept has been tested on a real nozzle. The nozzle geometry is shown in Figure 6, and the scan plan description in Table 2. In this case, two inspection positions were necessary to cover the entire weld volume. Figure 6 Nozzle plan with bevel configuration (dimensions are in mm) As described in section 1.3, after the scan plan is complete, the inspector must input tolerances for data archiving. For the test, the tolerances were set to 2 mm, 10 mm, and 2, for the index offset, the elevation (height), and the skew angle respectively. 5

Table 2 Scan plan description for nozzle described in Figure 6 Scan plan description Probe 5L16-A10 Wedge SA10-N55S Sectorial scan 40-70 Angular resolution 1 First index offset 41.5 mm (1.63 in) Gate start (first offset) 13 mm (0.51 in) Gate length (first offset) 72 mm (2.83 in) Second index offset 83.5 mm (3.29 in) Gate start (second offset) 70 mm (2.76 in) Gate length (second offset) 55 mm (2.17 in) The nozzle has seven different flaws, which are listed in Table 3. All of the flaws were detected except for the C-C flaw, which is a transverse crack. Figure 7 shows the two C-scans obtained after acquisition on the nozzle, one for each index offset. The flaws are identified on both C-scans. Table 3 Nozzle flaw description Nozzle flaw description Flaw name Flaw type Flaw center position Detected? A-A Lack of penetration 0 Yes B-B Smooth surface breaking lack of fusion 270 Yes C-C Smooth surface breaking transverse crack 39 No D-D Smooth lack of fusion 206 Yes E-E Smooth lack of fusion 308 Yes F-F Slag inclusion 115 Yes G-G Centerline crack 78 Yes Figure 7 C-scans of the nozzle with flaws and geometrical echo identifications 6

As seen in Figure 7, the data are not easily analyzed as with typical weld inspection. The volumetric ray-tracing can really help determine where the signals in the gate are coming from and differentiate between flaws and geometrical echoes. Some of the flaws are represented with the live ray-tracing software in Figure 8 with their respective flaw plans. Also, two examples of signals displayed in the C-scans that are actually geometrical echoes are shown in Figure 9 in the form of sectorial scans and offline ray tracing. Figure 8 Examples of live ray-tracing imaging for three different flaws The position of the detected flaws are not exactly where they should be compare with the part plan. This is due to both the imprecision of the optical system (which is about 1 mm in position and 0.4 in orientation) and the fact that the system considers the nozzle to be perfect relative to the scan plan. It means that if the vessel is not perfectly rounded, then the data will be offset in the volumetric imaging system. Figure 9 Examples of geometrical echoes represented in the sectorial scan (left) and in the offline ray-tracing software (right) 7

Because of the changing bevel profile, the weld overlay seen in the sectorial view of Figure 9 cannot be used at all scan positions to determine the origin of the signal. By using the offline ray-tracing software, we can see that both indications come from the corner trap of the nozzle and are therefore geometrical echoes and not flaws. Conclusion As previously mentioned, inspection of nozzles is considerably difficult owing to their complex geometry. The current inspection techniques, conventional manual UT and automated (or semi-automated) scanners, have some pros and cons. Olympus is currently developing an assisted manual inspection system for nozzles that addresses the need for an easier inspection system for such geometry. The developed concept unifies the flexibility of manual inspection with the data archiving capability and the weld coverage assessment of automated scanners. The solution includes an assisted scan plan generator, a real-time 3-D tracking system, and volumetric ray-tracing. Results obtained with the solution demonstrated that volumetric ray-tracing can help differentiate between geometrical echoes and flaws and identify the type of flaws by their positions and shapes. The prototype developed for this evaluation has a few limitations concerning bevel and nozzle geometry. However, it is apparent that this kind of system could be advantageous for complex shaped welds such as nozzles and tubular T-K-Y joints. Acknowledgements Special thanks to TWI Ltd. and to the companies sponsoring the project (EDF, ENSA, ESKOM and Petrobas) for allowing us to use their nozzle for evaluation of our system and also to allow publication of the results in this paper. 8