Disclosed is a method for measuring a deviation angle of a fatigue microcrack based on nonlinear ultrasound, comprising: preliminarily positioning a fatigue microcrack to obtain a center of the microcrack; selecting a horizontal positive direction, and defining an orientation angle; drawing a positive circumference on a surface of a metal plate, and selecting a fixed interval angle; placing an excitation sensor and a receiving sensor on the drawn positive circumference according to the orientation angle; ultrasonically testing each group of ultrasonic sensing paths, and recording time domain waveform signals formed by each group of ultrasonic sensing paths; converting each group of time domain waveform signals into a corresponding frequency domain graph, extracting an ultrasonic fundamental wave signal amplitude and a second harmonic waveform amplitude, and calculating a relative nonlinear coefficient; drawing an orientation angle-relative nonlinear coefficient polar coordinate graph; and determining a deviation angle of the microcrack.

An apparatus comprising an array of polymer-based capacitive micromachined ultrasonic transducers positioned on a substrate. The substrate may be at least substantially transparent to ionizing radiation, be flexible, and/or have walls positioned thereon to protect the transducers.

Methods and devices are provided for analyzing a tubular structure including at least two electromagnetic-acoustic transducers (EMAT) and, called sensors, attachable or attached in, on or in the vicinity of the tubular structure; and computation and/or memory resources, that are accessed locally and/or remotely and that are configured to determine, for the pair of sensors, a function representing the impulse response of the tubular structure on the basis of the diffuse acousto-elastic noise present in the structure. Developments describe the use of rings supporting the sensors; translation and/or rotation movements; permanent or temporary installations; hinged rings; various computation modes, e.g., intercorrelation, a passive inverse filter, or correlation of the coda of the correlation; the use of artificial noise sources, imaging (e.g., tomography) for determining the existence of one or more defects in the structure. Software aspects are described.

The present disclosure provides methods and systems for the characterization of a potential microtexture region (MTR) of a sample, component, or the like. The methods may include determining a threshold width of spatial correlation coefficient and/or a threshold spatial correlation coefficient slope for an actual MTR, characterizing a potential MTR as an actual MTR or a defect, characterizing an actual MTR as an acceptable MTR or not, and/or characterizing various components with potential MTRs as defective or not. The characterization may include calculating a width of spatial correlation coefficient and/or a spatial correlation coefficient slope of the potential MTR and comparing the width of spatial correlation coefficient to a threshold width of spatial correlation coefficient and/or comparing the spatial correlation coefficient slope to a threshold spatial correlation coefficient slope for the potential MTR to be characterized as an actual MTR or a defect (crack).

Methods and devices for detecting a defect in a rail of a railway track, include at least two sensors selected from among magneto-acoustic and/or piezoelectric and/or magnetostrictive transducers; each sensor being associated with a timestamping circuit of a GNSS satellite positioning system; a measuring circuit for measuring, by way of the sensors, the acousto-elastic waves propagating in the rail, the wave or signal measurements being timestamped. Some developments describe notably active and passive modes; the use of train crossings; the emission of waves; the determination of the existence and then of the position and finally the characterization of the defect, where applicable; preferred placements for installing the sensors; the use of inter-correlation, passive inverse filter or correlation of coda of correlation methods; the use of mobile robots and/or drones; the use of artificial noise sources.

A spot-welding electrode assembly includes an electrode, an electrode cap at an outer end of the electrode, and a plurality of transducer elements positioned inward of the electrode cap. The transducer elements may be micro-elements. A method for monitoring a weld formed by a spot-welder includes passing current from an electrode assembly through a stack-up, transmitting an ultrasonic wave from each of a plurality of sources in the electrode assembly to a plurality of points in the stack-up, and monitoring the ultrasonic waves to monitor the weld formation.

Object analysis comprising measuring a frequency-dependent natural oscillation behavior of the object by dynamically-mechanically exciting the object in a defined frequency range (f) by means of generating a body oscillation by applying a test signal, and detecting a body oscillation generated in the object on account of the exciting. Moreover, the method involves simulating a frequency-dependent natural oscillation behavior for the object by generating a virtual digital representation of the object, and carrying out a finite element analysis on the basis of the virtual representation comprising dynamically exciting, in a simulated manner, the virtual representation into a virtual frequency range for generating a virtual body oscillation, calculating the virtual body oscillation generated in the object on account of the exciting in a simulated manner, and deriving an object state on the basis of a comparison of the measured natural oscillation behavior and the simulated frequency-dependent natural oscillation behavior.

Automated real-time characterization of resistance spot welds using ultrasound-based nondestructive evaluation requires a computational process and system to accurately and rapidly interpret the ultrasonic data in real time. Such a process can be automatically learned using artificial intelligence, from a dataset of exemplary ultrasonic data from nondestructive evaluation of resistance spot welds for which a corresponding ideal evaluation of each weld is provided. The process can then be implemented into a system to automatically interpret data from non-destructive evaluation in real-time. The ideal evaluation of each weld requires identification a large set of features that are observable in the ultrasonic signature and comprehensively characterize the corresponding weld process.

A method for checking a component to be produced in an additive manner, having the steps of mechanically exciting at least one additively constructed layer of the component during the additive production of the component, measuring a mechanical response signal of the component, and displaying a warning and/or interrupting the additive production of the component if the mechanical response signal lies outside of a specified tolerance range. A device for the additive production of a component, includes a device for mechanically exciting the at least one additively constructed layer of the component, a measuring unit for measuring the mechanical response signal of the component, and a control unit. The control unit is designed to display the warning and/or interrupt the additive production if the mechanical response signal lies outside of a specified tolerance range.

Systems and methods are provided for monitoring the structural integrity of a vehicle. In particular, systems and methods are provided for using transducers positioned at various location in and on a vehicle to measure parameters related vehicle structural health. In various implementations, the integrity of the vehicle frame and the integrity of the vehicle body are monitored using a multi-axis accelerometer and/or microphone. The use of transducers for monitoring can replace time-consuming and expensive manual inspections.