General Electric Company

John Charles Janning

Francis Howard Little

Ali Can

Robert August Kaucic

Patrick Joseph Howard

Joseph Benjamin Ross

Paulo Ricardo Mendonca

Andrew Joseph Galish

Ralph Gerald Isaacs

Zhaohui Harry Sun

Joseph Manuel Portaz

Gerald B Nightingale

Kevin Layne Moermond

James Robert Reinhardt

Andrew Galish

Kevin Moermond

A method of inspecting a component using computed tomography is described, the method comprising the steps of: (a) providing a computed tomography (CT) scanner; (b) providing a target component; (c) reviewing the geometry of the component; (d) estimating the best component orientation; (e) orienting the component; (f) scanning the component with the CT scanner; (g) loading CT scan data into 3D image software; (h) registering the best CT scan data; (i) determining acceptable and unacceptable regions of CT scan data; (j) determining additional component orientations; (k) repeating steps (e) through (i) until all regions of CT scan data for the component are acceptable; and (l) creating a merged volume of acceptable CT scan data.

Method for inspecting components using computed tomography

An anomaly detection method includes acquiring image data corresponding to nondestructive testing (NDT) of a scanned object. The NDT image data comprises at least one inspection test image of the scanned object and multiple reference images for the scanned object. The anomaly detection method further includes generating an anomaly detection model based on a statistical analysis of one or more image features in the reference images for the scanned object and identifying one or more defects in the inspection test image, based on the anomaly detection model.

Method and system for identifying defects in NDT image data

A method for non-destructive examination of parts includes producing a 3-D image of a sample of a part, extracting a point cloud of the image of the sample of the part, and registering the point cloud to a CAD coordinate system. The method further includes determining points in the point cloud of the image that are more than a specified distance from surfaces on a CAD 3-D model of the part using the same coordinate system, and utilizing the determined points to determine the presence of anomalies or present an image of anomalies in the sample of the part.

Method and apparatus for finding anomalies in finished parts and/or assemblies

A non-contact measurement system employing a non-contact optical sensor and an edge detection sensor with a positioning system for moving the sensors over the surface and edges of a part (A) held in a predetermined, fixed position. The part is aligned in a co-ordinate system for obtaining accurate measurements of the part's surface (S) and edges (E). For parts smaller than the optical sensor's field of view, the part is rotated about an axis so both sides of the part are viewed by the sensor. If required, the part can also be shifted linearly along a horizontal axis (X) parallel to the sensor. For parts larger in size than the sensor's field of view, the part is moved along a vertical axis (Y) in predetermined segments so all of the part is exposed to viewing by the sensor.

Non-contact measurement system for large airfoils

The invention is a three-dimensional computed tomography method for inspecting and comparing actual geometry to predetermined geometry of an object. The method includes the following steps: A) three-dimensionally scanning the object using computed tomography to produce multiple slices of actual geometrical data of the object; B) processing the multiple slices of actual geometrical data into actual boundary data which defines internal and external boundaries of the object; and C) producing actual point cloud data from the actual boundary data. The method further includes comparing the actual point cloud data to object geometry predetermined data. The comparing may include outputting an image comparing the point cloud data to the predetermined data and the image may represent the geometry of non-conformance between the point cloud data and the predetermined data. The image may be rotated to present the non-conformance from different viewpoints around the feature.

Computed tomography metrology

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Cincinnati, OH, United States of America

John Charles Janning