The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as a hole, crack, wrinkle, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting defect areas within the 3-D image in real time or near real time and providing data regarding each defect area, such as the depth, size, and/or type of each defect.

A system and methods of nondestructive testing are described. The system includes an immersion ultrasonic probe and a laser vibrometer. The immersion ultrasonic probe and a sample are immersed in a fluid contained in an immersion tank and the laser vibrometer is disposed outside of the immersion tank. A tightly focused ultrasonic beam from the immersion ultrasonic probe and a laser beam from the laser vibrometer are both transmitted upon a sample, the laser beam being transmitted through the wall of the immersion tank. Since the ultrasonic beam is tightly focused and the laser beam samples only a small area impinged by the ultrasonic beam, microscopic resolution is obtained.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as a hole, crack, wrinkle, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting defect areas within the 3-D image in real time or near real time and providing data regarding each defect area, such as the depth, size, and/or type of each defect.

The present invention is related to techniques for the inspection of joints and repairs in pipelines. In this scenario, the present invention provides a method for the inspection of joints in composite pipes and of composite repairs in metal pipelines, comprising the steps of (i) emitting a series of acoustic wave pulses, at different frequencies, from a collar of acoustic transducers (4) positioned at a predetermined distance from the joint (5) or repair (1) to be inspected, (ii) recording, during a time interval subsequent to the emission, the echoes of the wave displacements up to the repair or joint in each of the transducers of the collar of acoustic transducers (4) in the form of A-Scan, and (iii) generating a planarized C-Scan image, by means of the CSM method, for each pulse emission frequency from the collar of acoustic transducers (4). The invention further provides a system for the inspection of joints in composite pipes and of composite repairs in metal pipelines associated with the method described above.

A device and a method for detecting at least one defect in a test object (2). At least one test head (1) radiates an ultrasonic signal at different measuring points (MP) into the test object (2) with each point at an insonation or radiation angle (α) in order to ascertain multiple measurement data sets (MDS). The angle is constant for each data set (MDS). An analyzing unit (4) carries out an SAFT (Synthetic Aperture Focusing Technique) analysis for each ascertained measurement data set (MDS) using a common reconstruction grid (RG) inside the test object (2) in order to calculate an SAFT analysis result for each measurement data set (MDS). The analyzing unit (4) superimposes the calculated SAFT analysis results in order to calculate an orientation-independent defect display value (S.sub.RP) for each reconstruction point (RP) of the common reconstruction grid (RG).

A sensor for ultrasonically measuring a portion of a structure having a temperature significantly above room-temperature, the sensor comprising: a high-temperature portion for intimate contact with the structure, the high-temperature portion comprising at least: at least one transducer for converting a first signal to an ultrasonic transmit signal, and for converting an ultrasonic reflected signal to a second signal; a low-temperature portion comprising at least: at least one digital sensor interface (DSI) to which the transducer is electrically connected, the DSI being configured to transmit the first electrical signal and receive the second electrical signal, and to generate an A-scan signal based on the first and second electrical signals; a wireless interface for transmitting a digital signal based directly or indirectly on at least said A-scan signal; and a battery for powering the DSI and the wireless interface; and an elongated member containing one or more electrical conductors for conducting the first and second signals between the transducer and the DSI, the elongated member being configured to offset the low-temperature portion a sufficient distance away from the high-temperature portion such that the low-temperature portion is subjected to significantly less heat from the structure compared to the high-temperature portion.

An inspection apparatus for enabling a remotely-located expert to monitor an inspection by a non-expert, the apparatus comprising an inspection device capable of being operated by the non-expert, which is configured to generate inspection data indicative of a condition of a test object, and a communication unit configured to: divide the inspection data into first and second data; transfer the first data for being presented to the remotely-located expert at a first time, to facilitate substantially real-time monitoring of the inspection by the expert; and transfer the second data for being presented to the remotely-located expert at a second time, which is later than the first time, to facilitate non-real time monitoring of the inspection by the expert.

According to one embodiment, a testing device of a turbine blade includes: a non-compressive elastic medium brought into close contact with a platform of the turbine blade in a state fastened to a turbine rotor; a probe which has piezoelectric elements arranged in an array and transmits ultrasound waves toward a fastening portion of the turbine blade through the elastic medium and receives echo waves; and a display portion for imaging an internal region of the fastening portion on the basis of the echo waves and displaying the same.

Systems and methods for inspecting a hole in a laminated structure. An exemplary system includes a transducer assembly configured to direct sound waves substantially parallel to a surface of the hole. The system further includes a controller that collects A-scan data for multiple rotational positions of the transducer assembly as the transducer assembly is rotated within the hole. The controller processes the A-scan data for the multiple rotational positions of the transducer assembly to generate B-scan data, and displays the B-scan data.

Methods that provide wrinkle characterization and performance prediction for wrinkled composite structures using automated structural analysis. In accordance with some embodiments, the method combines the use of B-scan ultrasound data, automated optical measurement of wrinkles and geometry of cross-sections, and finite element analysis of wrinkled composite structure to provide the ability to assess the actual significance of a detected wrinkle relative to the intended performance of the structure. The disclosed method uses an ultrasonic inspection system that has been calibrated by correlating ultrasonic B-scan data acquired from reference standards with measurements of optical cross sections (e.g., micrographs) of those reference standards.