首页|Patent Issued for Acoustic profiling techniques for non-destructive testing (USP TO 11906468)

Patent Issued for Acoustic profiling techniques for non-destructive testing (USP TO 11906468)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Kr aljic, Ivan C. (Saint-Gervais, CA), Lepage, Benoit (L'Ancienne-Lorette, CA), Pai nchaud-April, Guillaume (L'Ancienne-Lorette, CA), filed on February 3, 2022, was published online on February 20, 2024. The assignee for this patent, patent number 11906468, is Evident Canada Inc. (Qu ebec, Canada). Reporters obtained the following quote from the background information supplied by the inventors: "Various techniques can be used to perform inspection of struc tures in a non-destructive manner. Such techniques can include use of ionizing r adiation such as X-rays for inspection, electromagnetic techniques such as eddy- current techniques, or acoustic techniques, as illustrative examples. In one app roach, an ultrasonic transducer or an array of such transducers can be used to i nspect a structure using acoustic energy. Ultrasonic inspection is useful for in spection of a variety of different structures including bar-shaped or tubular st ructures, welds, planar (e.g., plate materials), and composite materials such as carbon-fiber reinforced composite structures. "Inhomogeneities on or within the structure under test can generate scattered or reflected acoustic signals in response to a transmitted acoustic pulse. Such ac oustic "echoes" can be received and processed. Such processing can include recon struction of an image corresponding to a region of the structure under test, for review by an inspector or for archival. Features within the structure that can be detected and thereby imaged include interfaces between materials having diffe rent acoustic propagation characteristics, such as voids, cracks, or other flaws, and structures such as welds, joints, cladding layers, or surfaces.

BusinessCyborgsEmerging TechnologiesEvident Canada Inc.Machine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.8)