A cost of a testing device is reduced. A structure of a testing device is simplified. A testing device capable of testing with higher accuracy is provided. A testing device (10) has a structure including a sending unit (13), a receiving unit (14), a control unit (11), and a display (15). The control unit includes a memory portion (21) and an arithmetic portion (22). The sending unit has a function of generating a pulse signal for a probe (40) to generate an ultrasonic wave (51). The receiving unit has a function of generating a first signal including a first analog data (D1) on the basis of the input single input from the probe. The memory portion has a function of storing the first analog data. The arithmetic portion has a function of generating an image signal (S0) output to the display on the basis of the first analog data stored in the memory portion. The display has a function of displaying an image based on the image signal.

A method for non-destructive inspection of at least one test object on a workpiece includes the steps of: obtaining a theoretical position of each test object in relation to a testing robot; capturing an image of each test object to obtain image data; determining a real position of each test object in relation to the testing robot on the basis of the image data; and bringing a sensor carried by the testing robot in contact with each test object to obtain a respective test measurement. For the certain type of inspection where the test instrument needs to be brought in physical contact with the test object to be inspected, it is crucial to know the exact position of the test object. As soon as the approximate position of the test object is known an image of the test object can be captured, and the exact position of the test object can be extracted from the respective image data.

Described herein are systems and methods for Young's modulus and Poisson's ratio determination of an object of arbitrary geometry. A measured vibrational response spectrum of the object is collected, and a simulated vibrational response spectrum of the object is generated. The measured vibrational response spectrum is compared with the simulated vibrational response spectrum. The comparison is treated as a global nonlinear optimization problem. An objective function is proposed to enable comparison of two spectra, which are available on two incompatible frequency scales, and have different number of peaks. The actual values of the Young's modulus and the Poisson's ratio are identified as the best-fitting values that minimize a mismatch between the simulated vibrational response spectrum and the measured vibrational response spectrum. Suitable systems for performing the methods are also provided.

A device for estimating a mechanical property of a sample is disclosed herein. The device may include a chamber configured to hold the sample; a transmitter configured to transmit a plurality of waveforms, including at least one forcing waveform; and a transducer assembly operatively connected to the transmitter and configured to transform the transmit waveforms into ultrasound waveforms. The transducer assembly can also transmit and receive ultrasound waveforms into and out of the chamber, as well as transform at least two received ultrasound waveforms into received electrical waveforms. The device also includes a data processor that can receive the received electrical waveforms; estimate a difference in the received electrical waveforms that results at least partially from movement of the sample; and estimate a mechanical property of the sample by comparing at least one feature of the estimated difference to at least one predicted feature, wherein the at least one predicted feature is based on a model of an effect of the chamber wall. Finally, the device can also include a controller configured to control the timing of the ultrasound transmitter and data processor.

A device and method for performing ultrasound scanning of a substantially cylindrical object, the device comprising a cuff adapted to fit around a circumference of the object, a carrier mounted slidably on the cuff and adapted to traverse the circumference of the object, an ultrasound probe mounted on the carrier and positioned to scan the circumference of the object as the carrier traverses the circumference of the object, a carrier motor mounted on the cuff or the carrier and used to drive the movement of the carrier about the circumference of the object, and one or more data connections providing control information for the carrier motor and the ultrasound probe and receiving scanning data from the ultrasound probe.

A method can include receiving acoustic emission data for acoustic emissions originating in a formation, performing a moment tensor analysis of the data, thereby yielding acoustic emission source parameters, determining at least one acoustic emission source parameter angle having a highest number of associated acoustic emission events, and calculating an in situ stress parameter, based on the acoustic emission source parameter angle. A system can include multiple sensors that sense acoustic emissions originating in a formation, and a computer including a computer readable medium having instructions that cause a processor to perform a moment tensor analysis of the data and yield acoustic emission source parameters, determine at least one acoustic emission source parameter angle having a highest number of associated acoustic emission events, and calculate an in situ stress parameter, based on the acoustic emission source parameter angle.

A method is provided for non-intrusively determining cross-sectional variation of a fluidic channel. The method includes creating a pressure pulse in a fluidic channel using a hammer to strike an external surface of a fluidic channel. The method also includes sensing, by one or more sensors, reflections of the pressure pulse; and obtaining, from the one or more sensors, a measured pressure profile based on the sensed reflections of the pressure pulse. A forward model of cross-sectional variation of the fluidic channel is generated based on a baseline simulation. Using the forward model, a simulated pressure profile is generated. Using the measured pressure profile and the simulated pressure profile, an error is determined. When the error is outside a predetermined threshold, the forward model is updated based on the error. An estimate of cross-sectional variation of the fluidic channel based on the forward model is displayed.

Methods and apparatus for non-invasive determination of one or more physical properties of a material in a conduit are presented. In one example, the method comprises initiating a vibration on a wall of the conduit at a first location, capturing a response to the vibration at the first location, capturing a response to the vibration at a second location, and determining at least one physical property of the material based on at least one of the captured responses at the first location and the second location.

A fluid flow meter can include a sensor capable of transmitting a transmit signal to propagate, at least partially, through a fluid in a pipe and receiving a respective receive signal. The fluid flow meter can include a memory storing computer code instructions and a plurality of pipe type signatures associated with a plurality of pipe types. Each pipe type signature of a respective pipe type of the plurality of pipe types can include one or more characteristics of receive signals associated with that pipe type. The fluid flow meter can also include a processor communicatively coupled to the sensor and to the memory. When executing the computer code instructions, the processor can determine one or more signal features of the receive signal, and identify a pipe type of the pipe based on the one or more signal features of the receive signal and the plurality of pipe type signatures.

A processing apparatus includes a processing quality prediction unit capable of outputting workpiece surface processing signal, a storage unit capable of storing workpiece surface processing signal, and a workpiece surface information management unit capable of interpreting workpiece surface processing signal. The workpiece surface information management unit can convert the surface processing signal into data of workpiece surface quality. The workpiece surface information management unit can be utilized to respectively interpret the surface processing signals provided by the processing quality prediction unit and to convert them into data of the roughness degree of the workpiece surface texture, so as to clearly provide information regarding the quality of the workpiece surface and completely utilize the signals detected during the processing for increasing the value added of the processing apparatus and enhancing the efficiency of use of the processing apparatus.