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 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 disclosure provides a system with an ultrasonic transducer housing assembly that maintains an acoustic coupling path for spherically focused transducers while allowing the placement of the housing at angles relative to a vertical angle. This invention extends the use of spherically focused transducers into portable systems with significantly reduced system and operational costs for non-destructive testing. The transducer housing assembly features a lens housing with an opening that is sealed with a replaceable fluid-tight membrane defining an acoustic window with acoustic properties similar to those of fluid in the housing and therefore at least translucent to the transducer and causing minimal signal loss. The housing contains minimal fluid to be cleaned up in case of improper use or leakage. The transducer housing also includes an optional surface offset and an ability to adjust the focal point of the transducer relative to the component surface.

Methods for non-destructive inspection of parts for obtaining the properties and characteristics of the material of a part are disclosed. According to one embodiment, a method for non-destructive inspection of parts includes a step of creating a mathematical model describing the dynamic behavior of a part to be inspected, a step of exciting the part, and a step of measuring the vibratory response of the part. The method further includes a step of optimizing surrounding conditions, a step of selecting modal shapes and a step of selecting at least one excitation point with the excitation orientation and at least one measurement point with the measurement orientation which are performed in that order after the step of creating the mathematical model.

The present disclosure provides a system with an ultrasonic transducer housing assembly that maintains an acoustic coupling path for spherically focused transducers while allowing the placement of the housing at angles relative to a vertical angle. This invention extends the use of spherically focused transducers into portable systems with significantly reduced system and operational costs for non-destructive testing. The transducer housing assembly features a lens housing with an opening that is sealed with a replaceable fluid-tight membrane defining an acoustic window with acoustic properties similar to those of fluid in the housing and therefore at least translucent to the transducer and causing minimal signal loss. The housing contains minimal fluid to be cleaned up in case of improper use or leakage. The transducer housing also includes an optional surface offset and an ability to adjust the focal point of the transducer relative to the component surface.

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 wave motion analysis device 100 that detects a defect of an inspection object on the basis of a reflection wave obtained from the inspection object, and includes a multiple reflection area extraction unit 106 that acquires tomographic data generated on the basis of the reflection wave and extracts, from the tomographic data, a multiple reflection area corresponding to a depth range deeper than a depth at which a real image of the inspection object is able to be detected and being an area in which a multiple reflection signal is able to be mainly detected, and a detection unit 107 that detects a multiple reflection image corresponding to the defect of the inspection object from the extracted multiple reflection area.

Systems and methods for training a machine learning model for non-destructive evaluation. A plurality of training samples are generated, with a subset of the plurality of training samples representing an article with a defect or a combination of defects. Training samples are generated by generating a virtual model of the article with defect at a computer system, generating a simulated signal representing an output of a non-destructive evaluation system scanning the physical article using the virtual model at the computer system, and associating a representation of the simulated signal with parameters representing a characteristic of the virtual model of the article with defects. The machine learning model is trained on the plurality of training samples. The trained machine learning model is applied on to measurements collected from physical articles to characterize or quantify defects.

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 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.