An impact excitation measurement system includes a temperature controlled testing chamber, an impactor, a sensor system and a support system. The impactor is configured to, at any testing temperature within a testing temperature range of between 0? C. and 1600? C. The sensor system is configured to obtain a vibrational response of the test piece to the impact provided to the test piece by the impactor. The support system includes a bedding for supporting a solid test piece within the testing chamber. The bedding has an elasticity which is substantially larger than the elasticity of the test piece. The impactor is configured to provide the impact to the test piece at an impact height. The bedding is configured to support the test piece at a support height which differs from the impact height for at most 0.5 mm at any testing temperature within the testing temperature range.

A plurality of micro-electro-mechanical system (MEMS) transducers in a phased array are coupled to a flexible substrate using carbon nanotubes (CNTs) for conformal ultrasound scanning. Each transducer comprises a cantilever, magnetic material deposited on the cantilever, and a solenoid positioned relative to the magnetic material. The carbon nanotubes are grown on the cantilever and mechanically couple the transducer to one side of the flexible substrate. The other side of the flexible substrate is applied to a surface of a part under inspection, and the transducers are electrically connected to a processer to cause movement of the cantilevers when the solenoids are energized by the processor. The movement of the cantilevers results in movement of the carbon nanotubes, which imparts a force to the flexible substrate that results in ultrasound waves, which permeate the part. Returns from the ultrasound waves are interpreted by the processor to generate images of the part.

The phased-array probe to be received on a probe receiving area of a wedge generally has a probe housing, a plurality of acoustic transducer elements disposed in the probe housing and distributed along a length of a working surface of the probe housing, and a matching layer covering the plurality of acoustic transducer elements and extending to cover an extended region of the working surface of the probe housing such that the matching layer forms a closed contact with an upper end of an acoustic damping junction of the wedge when the working surface of the probe housing of the phased-array probe is received on the probe receiving area of the wedge, wherein the closed contact prevents acoustic energy from being reflected from the extended region of the working surface of the probe housing.

Methods that provide wrinkle characterization and performance prediction for wrinkled composite structures using automated structural analysis. In accordance with some embodiments, the method combines the use of B-scan ultrasound data, automated optical measurement of wrinkles and geometry of cross-sections, and finite element analysis of wrinkled composite structure to provide the ability to assess the actual significance of a detected wrinkle relative to the intended performance of the structure. The disclosed method uses an ultrasonic inspection system that has been calibrated by correlating ultrasonic B-scan data acquired from reference standards with measurements of optical cross sections (e.g., micrographs) of those reference standards.

A holder for attaching an acoustic emission sensor to a non-metallic and non-magnetic material has a tubular body with a closed top end and an open bottom end through which the sensor is insertable into the tubular body. The closed top end has a plurality of unitary flexible flaps angularly extending inwardly from an inner surface of the enclosed top end. An inner surface of the tubular body has a plurality of spacers extending radially inward proximate the bottom end of the tubular body. The unitary flexible flaps and the spacers fix the sensor within the tubular body. The tubular body may also have a plurality of capture tabs extending outwardly from an exterior surface thereof proximate the open bottom end that are slidably and removably engageable with an engagement keyway in a retainer bracket that is affixed to a non-metallic and non-magnetic material.

The present invention relates to a windshield monitoring system. The windshield monitoring system comprises; a windshield (114) and an emitter (122) arranged to emit a sound pulse to induce a surface acoustic wave (SAW) to a surface of the windshield (114). The windshield monitoring system also comprises a sensor (124) arranged to receive the surface acoustic wave from the windshield (114) and a detection module (130) arranged to detect the presence of surface contamination (120) by attenuation in intensity of the received wave compared to an expected wave.

The invention is applied to an ultrasound inspection apparatus including an array probe such that wetting is substantially limited to an inspection surface of the work. The ultrasound inspection apparatus includes: a work holder that holds a work with an inspection surface thereof facing downward; an array probe that probes the work with an ultrasonic wave; a water tank in which the array probe is immersed in water; an arm that holds the array probe such that the array probe faces an underside of the inspection surface of the work; X-axial direction scanning means that horizontally scans the work, with a liquid surface coming into contact with the inspection surface of the work due to surface tension of a liquid stored in the water tank; and Y-axial direction scanning means that horizontally scans the array probe.

A method for ultrasonic guided wave defect detection in a structure is disclosed. The method includes driving a plurality of transducers to cause guided waves to be transmitted in the structure in a predetermined direction or focused at a predetermined focal point, receiving at least one reflected guided wave signal, and generating image data of the structure based on the at least one reflected guided wave signal. Processed image data are generated by performing at least one of baseline image subtraction or image suppression on the image data, and a location of at least one possible defect in the structure is identified based on the processed image data.

A computer-implemented method (10) for determining depth and location of localised thinning in a plate structure is provided. The computer-implemented method (10) for determining depth and location of localised thinning in the plate structure includes executing on one or more processors the steps of: selecting (12) a high-order symmetric Lamb wave mode; generating (14) the selected high-order symmetric Lamb wave mode in the plate structure using one or more first ultrasonic transducers attached to the plate structure; detecting (16) the generated high-order symmetric Lamb wave mode using the 0 one or more first ultrasonic transducers or one or more second ultrasonic transducers attached to the plate structure; comparing (18) arrival times of the detected high-order symmetric Lamb wave mode with a set of baseline signals to determine the depth of the localised thinning in the plate structure; and analysing (20) the arrival times of the detected high-order symmetric Lamb wave mode reflected from an edge of the localised thinning to determine the location of the localised thinning in the plate structure.

Provided are a floor material identification method, system and device, and a storage medium. The floor material identification method the floor material identification method includes: acquiring a vibration signal generated by a cleaning robot when operating on a floor of a material of a plurality of materials; determining at least one identification parameter for floor material identification based on the vibration signal; and identifying a floor material type based on the at least one identification parameter. Floor materials are distinguished by characteristics of different vibration signals from the floor of different materials, and thus problems such as high cost, low reliability and inaccurate identification result of the existing floor material identification method can be solved.