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 control device according to an embodiment receives first posture data of a posture of a first robot. The first robot includes a first manipulator and a first end effector. Furthermore, the control device sets the posture of the first robot based on the first posture data and causes the first robot to perform a first task on a first member. The first posture data is generated based on second posture data. The second posture data is of a posture when a second robot that includes a second manipulator and a second end effector performs a second task on the first member.

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.

According to one embodiment, a data processing device receives welding device data from a welding device. The welding device makes a joined body by joining a plurality of parts. The welding device data includes a welding device ID for identifying the welding device. The data processing device receives inspection data. The inspection data includes position data and angle data. The position data is of a position of a weld portion of the joined body. The position data are calculated from a result of a probe of the joined body. The probe uses an ultrasonic wave. The angle data is of an angle of the weld portion. The data processing device associates the inspection data with the welding device data.

The present disclosure relates to an ultrasonic device for real-time and nondestructive assessment of extracellular matrix stiffness, and the method of making and using the novel ultrasonic device.

The present disclosure relates to an ultrasonic device for real-time and nondestructive assessment of extracellular matrix stiffness, and the method of making and using the novel ultrasonic device.

A manual system for non-destructive testing of a part to be tested includes a sub-system for acquiring non-destructive test data comprising a probe, a sub-system for tracking the position of the probe, and a sub-system for acquiring surface characterisation data of a test zone defined on the surface of the part. The system also includes a central sub-system for controlling the test data acquisition, surface characterisation data acquisition and position tracking subsystems as a function of the test zone covered by the probe manipulated by an operator, the central subsystem being able to synchronise the operation of the test data acquisition, surface characterisation data acquisition and position tracking subsystems and to pair the data produced by the test data acquisition, surface characterisation data acquisition and position tracking subsystems during their operation.

According to one embodiment, a processing system sets a detector to a prescribed position. The detector includes a plurality of detection elements arranged along a first direction and a second direction. The second direction crosses the first direction. The processing system causes the detector to perform a probe of a weld portion of a joined body. The probe includes a transmission of an ultrasonic wave and a detection of a reflected wave. The processing system calculates a center position of the weld portion in a first plane along the first and second directions based on intensity data. The intensity data is of an intensity of the reflected wave obtained by the probe. The processing system performs a position adjustment of moving the detector along the first plane to reduce a distance between the center position and a position of the detector in the first plane.

According to an embodiment, an inspection device includes a transmitter, a receiver, and a processor. The transmitter transmits a first ultrasonic wave including burst waves of a first period. The first ultrasonic wave is incident on an inspection object between the transmitter and the receiver. The first ultrasonic wave passed through the inspection object is incident on the receiver. The receiver outputs a signal corresponding to the first ultrasonic wave. The processor obtains the signal and performs a first operation. The first operation includes deriving first and second signal values from the signal, and inspecting the inspection object based on at least one of the first signal values and at least one of the second signal values. The first signal values correspond to maximum values of the signal in each of first periods The second signal values correspond to maximum values of the signal in each of second periods.

The present invention relates to a method for evaluating the thermal expansion properties of a titania-containing glass body. On the basis of measured values, obtained at a certain temperature, for a physical parameter that changes depending on the titania concentration and a physical parameter that changes depending on the fictive temperature, the thermal expansion coefficient of the titania-containing silica glass body and the slope of the thermal expansion coefficient are calculated using a linear relational expression represented by a plurality of physical properties. The thermal expansion properties of the titania-containing silica glass body are evaluated on the basis of the calculated thermal expansion coefficient and thermal expansion coefficient slope.