Raytheon Technologies Corporation

United Technologies Corporation

Rtx Corporation

Gene B Donskoy

Sergio S Frutuoso

Alan Matthew Finn

Edgar A Bernal

Ziyou Xiong

Ozgur Erdinc

Jose Miguel Pasini

Joseph A Sylvestro

Richard W Osborne, Iii

Catalin G Fotache

Olusegun T Oshin

William L Rall

Olusegun Oshin

A method for robotic inspection of a part, includes the steps of: supporting the part with a robot mechanism; obtaining part-related sensor input with a sensor positioned to inspect the part supported by the robot mechanism; and controlling movement of the robot mechanism relative to the sensor, wherein the controlling is done by a feedback control unit which receives the sensor input, and the feedback control unit is configured to control the robot mechanism based upon the sensor input.

System and method for robotic inspection

A process for automated component inspection includes the steps of calibrating an imaging device mounted on a table; calibrating a coordinate measuring machine mounted on the table, the coordinate measuring machine comprising a fixture coupled to an arm of the coordinate measuring machine; coupling a component to the fixture; acquiring an image of said component with said imaging device; registering a baseline dimensioned image to the component image; applying the baseline dimensioned image to a damage detection algorithm; and determining component damage by the damage detection algorithm.

System and method for determining part damage

An example method of inspecting a part includes applying a penetrant dye to the part, the penetrant dye exhibiting a fluorescent color when subjected to light from a lighting device. A portion of the part is illuminated with light from the lighting device. An image of the portion of the part is automatically recorded with a camera while the portion is illuminated. An uncertainty metric for the image is automatically determined that is indicative of a likelihood that pixels in the image having the fluorescent color represent damage to the part. At least one of the part, lighting device, and camera are automatically adjusted based on the uncertainty metric being within a predefined range. The automatic recording, determining, and adjusting steps are iteratively repeated until the uncertainty metric is greater than the predefined range, or a predefined number of iterations have been performed for the portion of the part.

System and method for automated fluorescent penetrant inspection

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Farmington, CT, United States of America

Gene B Donskoy