Evident Canada, Inc.

Non-destructive testing of an elongate object can include using an adaptable apparatus to support objects having different cross-sectional profiles. For example, an adaptable inspection fixture can support inspection probes for acoustic or eddy current inspection, as illustrative examples. Generally, the apparatus comprises opposing portions which are pivotable and connected by a linkage to maintain the opposing portions in a specified orientation relative to each other while permitting independent rotational orientations of each respective opposing portion such as to accommodate test objects. For example, the opposing portions can be substantially parallel across multiple configurations. Optionally, the apparatus can maintain a specified orientation of one or more radius probes with respect to an object under test.

Data indicative of displacement of an acoustic probe assembly (or motion of an imaging aperture associated therewith) can be extracted from acquired acoustic echo data to perform motion tracking without requiring a separate mechanical motion sensor. As an illustrative example, a deterministic noise pattern associated with a particular probe location can be identified and motion of the noise pattern can be used to provide an estimate of probe assembly motion. Such an estimate can be used to facilitate imaging corresponding to multiple probe locations in support of acoustic non-destructive testing (NDT) such as in relation to Phased Array Ultrasound Test (PAUT).

A non-destructive test apparatus can include a scanner assembly configured to encode movement in, for example, one or two directions. The scanner assembly comprising a carriage comprising one or more respective wheels oriented to rotate in a circumferential scan direction, the carriage housing or otherwise guiding a transducer probe assembly. A first encoder can be configured to generate a first signal representative of displacement of the carriage in the first direction, and the scanner assembly can also include 2024/059948 at least one wheel can be oriented to rotate in an indexing direction, where a second encoder is configured to generate a second signal representative of displacement of the carriage in the second direction in response to rotation of the at least one wheel oriented to rotate in second direction. An operator interface on-board the scanner assembly can receive user input and contemporaneously present a status indication to guide inspection.

Examples of the present subject matter provide techniques for enhancing images taken from non-destructive inspection techniques, such as acoustic inspection. A source 3D data may be acquired representing an object. Rather than displaying the source 3D data, signal processing may be employed to enhance the flaws or defects in the source 3D data. A geometry template of the object may be created using the source 3D data. The source 3D data may be compared to the geometry template, and based on the comparison, an enhanced 3D image may be generated.

Acoustic evaluation of a target can be performed using an array of electro-acoustic transducers. For example, a technique for such evaluation can include generating acoustic transmission events using different transmitting apertures, the apertures defined by corresponding zones along the array, the zones including multiple electro-acoustic transducer elements. In response to the respective acoustic transmission events. respective acoustic echo signals are received. Representations of the respective received acoustic echo signals are coherently summed. The coherently summing includes applying determined nominal element delay factors to the respective representations to approximate a virtual probe normal to a nominal shape of a surface of a structure being inspected. A pixel or voxel value is corresponding to a specified spatial location within the structure being inspected is generated using the coherently summed representations.

A computerized method of image processing using processing circuitry to apply a previously trained machine learning model in a system for non-destructive testing (NDT) of a material is described. The method can include acquiring acoustic imaging data of the material, the acoustic imaging data acquired at least in part using an acoustic imaging modality, generating an acoustic imaging data set corresponding to an acoustic propagation mode, applying the previously trained machine learning model to the acoustic imaging data set, and generating an image of the material depicting a probability of a flaw per pixel or voxel based on the application of the previously trained machine learning model.

Apparatus and techniques as shown and described herein can be used to provide non-destructive inspection using a scanner assembly that can have one or more arms that can be used to position a probe assembly such that full inspection coverage of a structure can be achieved in a semi-automated or automated manner using as few as a single scanner assembly. Such apparatus and techniques can include a scanner assembly having multiple arms and corresponding probe assemblies, such as can be used to perform acoustic inspection of a longitudinal weld structure.

A phase-based approach can be used for one or more of acquisition, storage, or subsequent analysis, e.g., A-scan reconstruction or Total Focusing Method imaging, in support of acoustic inspection. For example, binarization or other quantization technique can be used to compress a data volume associated with time-series signal acquisition. A representation of phase information from the time-series signal can be generated, such as by processing the binarized or otherwise quantized time-series signal. Using the representation of the phase information, a phase summation technique can be used to perform one or more of A-scan reconstruction, such as for pulse-echo A-scan inspection, or a TFM imaging technique can be used, as illustrative examples. In such a phase summation approach, time-series representations of phase data can be summed, such as where each time-series can be delayed (or phase rotated) by an appropriate delay value and then aggregated.

A phase-based approach can be used for one or more of acquisition, storage, or subsequent analysis, e.g., A-scan reconstruction or Total Focusing Method imaging, in support of acoustic inspection. For example, binarization or other quantization technique can be used to compress a data volume associated with time-series signal acquisition. A representation of phase information from the time-series signal can be generated, such as by processing the binarized or otherwise quantized time-series signal. Using the representation of the phase information, a phase summation technique can be used to perform one or more of A-scan reconstruction, such as for pulse-echo A-scan inspection, or a TFM imaging technique can be used, as illustrative examples. In such a phase summation approach, time-series representations of phase data can be summed, such as where each time-series can be delayed (or phase rotated) by an appropriate delay value and then aggregated.

Apparatus and techniques described herein can be used to compensate for variation in flatness or other surface features of a planar or nearly-planar test specimen, such as facilitating acoustic inspection. According to examples herein, compensation can be performed such as to maintain a parallel orientation of a non-destructive test probe relative to a surface of a test specimen or to maintain a specified distance between the test probe and the surface, or both. Such an approach can include use of multiple probe elements such as to contemporaneously acquire data indicative of a surface profile of the test specimen (such as using a time-of-flight determination), and to perform an inspection acquisition. In this manner, a probe trajectory can be adjusted (e.g., updated) during an acquisition to enhance inspection productivity versus other approaches.