Systems, methods, and apparatus for tracking location of an inspection robot are disclosed. An example apparatus for tracking inspection data may include an inspection chassis having a plurality of inspection sensors configured to interrogate an inspection surface, a first drive module and a second drive module, both coupled to the inspection chassis. The first and second drive module may each include a passive encoder wheel and a non-contact sensor positioned in proximity to the passive encoder wheel, wherein the non-contact sensor provides a movement value corresponding to the first passive encoder wheel. An inspection position circuit may determine a relative position of the inspection chassis in response to the movement values from the first and second drive modules.

The present disclosure provides an ultrasonic transceiver capable of stably measuring a fluid of high temperature and high humidity for a long period, and provides an ultrasonic flowmeter, an ultrasonic flow velocimeter, and an ultrasonic densitometer each including the ultrasonic transceiver. An ultrasonic transceiver (1) comprises a piezoelectric body (3) and an acoustic matching body (2) disposed in one face of the piezoelectric body (3), wherein the acoustic matching body (2) includes: a top plate, a bottom plate, and a side wall that define a closed space; and a perpendicular partition wall formed substantially perpendicular to the bottom plate and adhering to the top plate and the bottom plate, thereby dividing a closed space.

A couplant feeding circuit is provided. The couplant feeding circuit has a first set of walls extending from a bottom surface and a second set of walls extending from the bottom surface and between the first set of walls. A membrane extends between the first and second set of walls such that the first and second set of walls along with the membrane form a couplant cavity. The couplant feeding circuit also has a couplant port disposed in one of the first or second set of walls that allows routing of couplant to the couplant cavity. Moreover, the couplant feeding circuit also has a vacuum port disposed in one of the first or second set of walls that allows removal of at least a portion of the couplant from the couplant cavity. Furthermore, the couplant port and the vacuum port form a closed loop within the couplant feeding circuit.

A couplant feeding circuit is provided. The couplant feeding circuit has a first set of walls extending from a bottom surface and a second set of walls extending from the bottom surface and between the first set of walls. A membrane extends between the first and second set of walls such that the first and second set of walls along with the membrane form a couplant cavity. The couplant feeding circuit also has a couplant port disposed in one of the first or second set of walls that allows routing of couplant to the couplant cavity. Moreover, the couplant feeding circuit also has a vacuum port disposed in one of the first or second set of walls that allows removal of at least a portion of the couplant from the couplant cavity. Furthermore, the couplant port and the vacuum port form a closed loop within the couplant feeding circuit.

A data link (101) for a MIMO communication system (100) comprises a first transceiver device (106A) comprising a body (109A) having a transducer mounting surface near or at which is mounted a plurality of first transducers (107A-107D) configured to, in use, receive and convert a plurality of electrical waveforms to a respective plurality of acoustic signals. A first bonding layer (120A) bonds a barrier mounting surface of the body of the first transceiver device to a barrier (103). The data link further comprises a second transceiver device (106B) comprising a body (109B) and a plurality of second transducers (107′A-107′D) configured to receive and convert the plurality of acoustic signals transmitted through the barrier to a respective plurality of electrical waveforms. A second bonding layer (120B) bonds a barrier mounting surface of the body of the second transceiver to the barrier.

A data link (101) for a MIMO communication system (100) comprises a first transceiver device (106A) comprising a body (109A) having a transducer mounting surface near or at which is mounted a plurality of first transducers (107A-107D) configured to, in use, receive and convert a plurality of electrical waveforms to a respective plurality of acoustic signals. A first bonding layer (120A) bonds a barrier mounting surface of the body of the first transceiver device to a barrier (103). The data link further comprises a second transceiver device (106B) comprising a body (109B) and a plurality of second transducers (107′A-107′D) configured to receive and convert the plurality of acoustic signals transmitted through the barrier to a respective plurality of electrical waveforms. A second bonding layer (120B) bonds a barrier mounting surface of the body of the second transceiver to the barrier.

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.

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.

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.

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.