G01N29/46

NON-INVASIVE MECHANISM PROVIDING SIMULTANEOUS DETERMINATION OF VISCOSITY-TEMPERATURE VARIATION OF LUBRICANT

Embodiments herein provide a method and system for a non-invasive mechanism providing simultaneous determination of viscosity-temperature variation of a lubricant for predicting machine health using a Photo Acoustic (PA) sensing mechanism, Laser-enabled swept frequency acoustic interferometry (LE-SFAI), wherein the lubricant produces acoustic wave only if it absorbs the laser irradiation, thus overcomes the limitation of ultrasound based SFAI through optical absorption based contrast and proper selection of laser excitation wavelength. A PA signal received from the lubricant is processed by a Vector Network Analyzer (VNA), then converted to time domain to obtain normalized first peak that corresponds to the PA signal generated by the lubricant. A squared rise time of the first peak is indicative of viscosity of the liquid and shift in the first peak is indicative of variation of the viscosity as temperature of the lubricant varies.

Non-destructive Evaluation System for Detecting Delamination in Concrete Structures
20230146763 · 2023-05-11 ·

Disclosed are non-destructive evaluation systems and method thereof for detecting delamination, overlay debonding, spalling and detecting and differentiating between sound and delaminated patches in concrete structures. The non-destructive evaluation method for detecting delamination in concrete structures includes obtaining a plurality of acoustic waves, storing the plurality of acoustic waves, calculating a short-term Fourier transform (STFT) spectrum for each of the plurality of acoustic waves, wherein each STFT spectrum comprises a plurality of window discrete Fourier transforms, and detecting the delamination based on the STFT spectrum.

Non-destructive Evaluation System for Detecting Delamination in Concrete Structures
20230146763 · 2023-05-11 ·

Disclosed are non-destructive evaluation systems and method thereof for detecting delamination, overlay debonding, spalling and detecting and differentiating between sound and delaminated patches in concrete structures. The non-destructive evaluation method for detecting delamination in concrete structures includes obtaining a plurality of acoustic waves, storing the plurality of acoustic waves, calculating a short-term Fourier transform (STFT) spectrum for each of the plurality of acoustic waves, wherein each STFT spectrum comprises a plurality of window discrete Fourier transforms, and detecting the delamination based on the STFT spectrum.

System with a spraying nozzle unit and method for spraying an inorganic mass

A system for applying an inorganic coating material to a surface (110) comprising: —a spray nozzle unit (50), having the following features: —a first end portion (51) with a first connection (11) for a first supply hose (10), for supplying a first component of the coating material, —a second end portion (52) for discharging the coating material from the spray nozzle unit (50), —a connection unit (60) for mixing and transporting components of the coating material from the first end portion (51) to the second end portion (52), —wherein the connection unit (60) comprises a mixing chamber (61) with at least one further connection (21,31) for supplying a second component of the coating material, —and wherein at least one electronic sensor (70) is mounted on the connection unit (60), to detect an oscillation amplitude (81) arising at the connection unit (60), —a data processing unit (80), —a comparison unit (90), —a control unit (100), wherein the control unit (100) —generates a warning signal (101) when the control data (91) lie above a predetermined limit value, and/or—varies the volume flow (102) of at least one of the components of the coating material depending on the control data (91) is generated by the comparison unit (90). As well as methods for applying an organic coating material obtained by mixing a plurality of components in a spray nozzle unit (50).

System with a spraying nozzle unit and method for spraying an inorganic mass

A system for applying an inorganic coating material to a surface (110) comprising: —a spray nozzle unit (50), having the following features: —a first end portion (51) with a first connection (11) for a first supply hose (10), for supplying a first component of the coating material, —a second end portion (52) for discharging the coating material from the spray nozzle unit (50), —a connection unit (60) for mixing and transporting components of the coating material from the first end portion (51) to the second end portion (52), —wherein the connection unit (60) comprises a mixing chamber (61) with at least one further connection (21,31) for supplying a second component of the coating material, —and wherein at least one electronic sensor (70) is mounted on the connection unit (60), to detect an oscillation amplitude (81) arising at the connection unit (60), —a data processing unit (80), —a comparison unit (90), —a control unit (100), wherein the control unit (100) —generates a warning signal (101) when the control data (91) lie above a predetermined limit value, and/or—varies the volume flow (102) of at least one of the components of the coating material depending on the control data (91) is generated by the comparison unit (90). As well as methods for applying an organic coating material obtained by mixing a plurality of components in a spray nozzle unit (50).

Shear wave elastography with ultrasound probe oscillation

Methods for processing data acquired using ultrasound elastography, in which shear waves are generated in a subject using continuous vibration of the ultrasound transducer, are described. The described methods can effectively separate shear wave signals from signals corresponding to residual motion artifacts associated with vibration of the ultrasound transducer. The systems and methods described here also provide for real-time visualization of shear waves propagating in the subject.

Shear wave elastography with ultrasound probe oscillation

Methods for processing data acquired using ultrasound elastography, in which shear waves are generated in a subject using continuous vibration of the ultrasound transducer, are described. The described methods can effectively separate shear wave signals from signals corresponding to residual motion artifacts associated with vibration of the ultrasound transducer. The systems and methods described here also provide for real-time visualization of shear waves propagating in the subject.

Identifying structural defect geometric features from acoustic emission waveforms

The current disclosure determines if structural faults exist and extracts geometric features of the structural faults from acoustic emission waveforms, such as crack length and orientation, and can evaluate the structural faults online, during normal operation conditions.

Identifying structural defect geometric features from acoustic emission waveforms

The current disclosure determines if structural faults exist and extracts geometric features of the structural faults from acoustic emission waveforms, such as crack length and orientation, and can evaluate the structural faults online, during normal operation conditions.

System and method for real-time visualization of defects in a matertial

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as a hole, crack, wrinkle, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting defect areas within the 3-D image in real time or near real time and providing data regarding each defect area, such as the depth, size, and/or type of each defect.