A system for determining a trigger amplitude indicating a precursor to a material fracture in a specimen under test includes a microphone converting acoustic emission emitted by the specimen under test into electrical signals. A load is exerted upon the specimen under test and the acoustic emission are emitted when the load causes the specimen under test to undergo deformation prior to the material fracture. A control module is in electrical communication with the microphone and executes instructions to monitor the electrical signals generated by the microphone and filter the electrical signals generated by the microphone. The control module converts the electrical signals generated by the microphone into individual frequency components based on a fast Fourier Transform (FFT). The individual frequency components each include a peak intensity. The control module determines the trigger amplitude based on the peak intensity of the individual frequency components of the FFT.

A system and method for evaluation of material systems including linings bonded to substrates, the system and method including: an ultrasonic transmitter configured to provide an ultrasonic pulse to the material system; an ultrasonic receiver configured to receive ultrasonic signal data related to the pulses; a data storage module configured to store data related to the material system, ultrasonic pulse and empirical data; an analysis module configured to analyze the ultrasonic signal data based on the ultrasonic pulse, the data related to the material system and empirical data; and an output module configured to output the results of the analysis.

An additive manufacturing system includes an ultrasonic inspection system integrated in such a way as to minimize time needed for an inspection process. The inspection system may have an ultrasonic phased array integrated into a build table for detecting defects in each successive slice of a workpiece and such that each slice may be re-melted if and when defects are detected.

Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

The apparatus for inspecting the electrostatic chuck for substrate processing includes the electrostatic chuck including a ceramic layer and an electrode layer coupled to an inside of the ceramic layer, an ultrasonic sensor unit disposed on the electrostatic chuck, allowing an ultrasonic wave to be incident into the electrostatic chuck, and converting a reflected signal reflected through the electrostatic chuck into an ultrasonic voltage signal, and an ultrasonic inspection unit to divide the ceramic layer and the electrode layer, based on a size value of the ultrasonic voltage signal.

A computer system is provided for processing ultrasonic data of an ultrasonic probe applied to an area of an aircraft component that includes carbon fiber reinforced polymer. C-scan data is obtained and a preliminary mesh is defined over the C-scan data by taking into account the underlying structural or mechanical characteristics of the analyzed component. The mesh is further refined and data gathered for each mesh cell. A heat map is generated based on the mesh.

A device for use in inspecting a test object is provided. The device can include a body including a first end and a second end. The second end can be opposite the first end. The device can also include a probe receiver located at the first end of the body. The probe receiver can be configured to receive an ultrasonic probe. The device can further include a coupling portion located at the second end of the body. The coupling portion can be configured to position the ultrasonic probe with respect to an axis of force transmission of a test object or normal to one or more material layers of the test object during an ultrasound inspection of the test object. Methods of forming the device and performing ultrasonic inspection of a test object with the device are also provided.

There are described a system and method for performing ultrasound testing of a component comprising a first material layer and a second material layer bonded by an adhesive layer. The method comprises applying input ultrasound to the component to cause longitudinal propagation of ultrasonic guided waves through the first material layer and the adhesive layer; acquiring acoustic waves from the component, wherein the acoustic waves produced by the longitudinal propagation of the ultrasonic guided waves; generating a signal representation of the acoustic waves; comparing the signal representation of the acoustic waves to a plurality of reference signals to identify a characteristic of the adhesive layer; and outputting an output signal indicative of the characteristic of the adhesive layer.

A sensor includes a flexible cable arranged to provide a plurality of independent electrical coils and a connector. Each of the plurality of independent electrical coils extend from a first end to a second end and is configured to be wrapped at least partially around a surface of a structure to be tested. The connector is electrically coupled to the first end of at least one of the plurality of independent electrical coils. The plurality of independent electrical coils is configured such that current will flow in a common direction between the first ends and the second ends within each said independent coil. Systems and methods also are disclosed.

A method for analyzing dynamic mode change of an anisotropic material includes performing modal analysis of a first physical force applied to an isotropic material specimen and a first vibration signal collected from the isotropic material specimen, acquiring a first modal parameter of the isotropic material specimen, based on the modal analysis result, performing modal analysis of a second physical force applied to the anisotropic material specimen and a second vibration signal collected from the anisotropic material specimen, acquiring a second modal parameter of the anisotropic material specimen, based on the modal analysis result, acquiring a modal assurance criterion (MAC) for each mode of the anisotropic material specimen, based on the first and second modal parameters, and acquiring each similar mode of the anisotropic material specimen to each mode of the isotropic material specimen.