The present disclosure provides methods and systems for the characterization of a microtexture of a sample, component, or the like. The methods may include methods of determining a service life limiting region of a component, determining a treatment method for a component, and/or selecting components from a batch of components for use in production. The characterization may include calculating a microtexture level indicator from ultrasonic C-scan images for various samples, regions, components, or the like. The microtexture level indicator may include at least one of an average peak factor, a standard deviation of peak amplitude, and/or a baseband bandwidth.

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).

A method of non-destructively inspecting an adhesively bonded assembly of first, second, and third materials includes generating guided waves in the adhesively bonded assembly and establishing a dispersion curve plot in a first reference frame on the basis of receiving the guided waves. The method further includes comparing the dispersion curve plot with a plurality of reference dispersion curves established in the first reference frame, each of the reference dispersion curves being obtained by generating guided waves in a reference adhesively bonded assembly. Finally, the method includes estimating at least one of the thicknesses of the materials in the adhesively bonded assembly under inspection.

A method for performing metrology qualification of a non-destructive inspection (NDI) ultrasonic system includes performing, by the NDI ultrasonic system, an ultrasonic scanning operation on a calibration coupon. The ultrasonic scanning operation generates a scan signal. The method also includes superimposing a time-domain qualification mask on the scan signal and determining whether the scan signal is within the time-domain qualification mask. The method also includes validating a porosity sensitivity of the NDI ultrasonic system using a frequency-domain qualification mask. The method additionally includes qualifying the NDI ultrasonic system in response to the scan signal being within the time-domain qualification mask for a portion of the calibration coupon without a defect and the scan signal being above the time-domain qualification mask for another portion of the calibration coupon including the defect, and the porosity sensitivity of the NDI ultrasonic system being validated.

The present disclosure relates to a method of detecting crack propagation in a wall of a metallurgical furnace by a detection unit. The detection unit is configured to extract one or more dominant frequency parameters from the corresponding reflected stress signal, and analysing, a phase from each dominant frequency parameters. The analysing of the phase comprises determines, one or more coefficients for each dominant frequency parameters. The detection unit then identifies, a dominant phase based on the corresponding one or more coefficients and selects a frequency relevant to a thickness parameter based on the dominant phase. The crack propagation in the wall of the metallurgical furnace is then detected based on the frequency relevant to the thickness parameter at each of the one or more locations. The present disclosure provides an accurate method for determining condition of refractory lining by elimination unwanted noise signals.

A non-intrusive monitoring method and system for the detection and potential assessment of damage that may occur during a manufacturing process is described. Potential damage events such as impact events can be detected by one or more sensors located on a workpiece or on a machine utilized in the manufacturing process. Through wireless monitoring of the sensors, potential damage events are detected and products of the manufacturing process can be examined to determine if the event has led to damage.

A system and method for measuring characteristics, comprising: a directed energy source having an energy output which changes over time, incident on an object undergoing additive manufacturing; a sensor configured to measure a dynamic thermal response of at least a portion of the object undergoing additive manufacturing proximate to a directed location of the directed energy source over time with respect distance from the directed location; and at least one processor, configured to analyze the measured dynamic thermal response to determine presence of a manufacturing defect in the object undergoing additive manufacturing, before completion of manufacturing.

Embodiments of the present invention provide systems and methods for tagging and acoustically characterizing containers.

Methods and systems may be configured to integrate data from fixed nondestructive inspection sensors positioned on a test specimen and data from laser ultrasound scans of the test specimen, in order to monitor and track damage and stress indications in the test specimen in real-time during mechanical stress testing of the test specimen. Data from the laser ultrasound scans may identify emergent areas of interest within the test specimen that were not predicted by stress analysis, and further allow for reconfiguration of the test plan in view of the emergent areas of interest, without having the stop the test. Laser ultrasound scans may be performed on the entire test specimen, with high-resolution scans being performed on emergent areas of interest. Thus, stress indications, or stress effects, in the test specimen may be measured, identified, and tracked in real-time (e.g., as growth is propagating) in a test specimen undergoing structural tests.

A system for detecting the presence of bubbles in a solution includes an ultrasonic receiver, receiving a pair of signals having different frequencies after passage through the solution, and a computing unit. The computing unit computes a signal value for each of the signals, the signal value representing a defined signal property, compares the signal values for the signals with each other and/or each with a predefined reference value, and computes a deviation of the signal values from each other and/or between the signal values and the predefined reference value. The computing unit generates a bubble confirmation signal that confirms the presence of bubbles in the solution if the deviation is greater than a predefined threshold value.