A method and system provide the ability to examine a three-dimensional (3D) structure. A physical 3D structure is acquired. A digital model of the 3D structure is acquired in an augmented reality (AR) system. The digital model is calibrated to match the 3D structure. The digital model is projected onto the 3D structure. A tool interacting with the 3D structure is tracked and the interaction is analyzed. A visualization of the projected digital model is updated based on the analysis.

An aspect of the present invention provides a mold information management device, a casting system, and a mold information management method each of which makes it possible to reduce a rate of occurrence of defective casting products due to unreadable identification marks, as compared to a conventional rate of the occurrence. A mold information management device includes at least one processor, the processor carrying out: a determination process for determining whether an identification mark is good or not, on the basis of image data or profile data obtained by capturing an image of or scanning a surface of a mold on which the identification mark is engraved; and an associating process for associating the identification mark with information on at least one of history and properties of the mold, in a case where the identification mark has been determined to be good in the determination process.

A method for dynamically measuring deformation of a rotating-body mold, including: (S1) subjecting an overall outer surface of the rotating-body mold to three-dimensional measurement to acquire an initial point cloud data; (S2) shooting, by a multi-camera system, the mold from different angles to obtain three-dimensional coordinates of marking points and coding points on the overall outer surface of the rotating-body mold; (S3) rotating the mold, and repeatedly photographing the marking points and the coding points on the mold surface under different angle poses; and calculating three-dimensional coordinates of the marking points and the coding points; and (S4) predicting a point cloud data of the outer surface under different angle poses based on a conversion relationship among the marking points to analyze a deformation degree of the mold during a rotation process.

There are described herein methods and system for generating an inspection image of an object from radiographic imaging. The method comprises obtaining a plurality of digital images of the object positioned between a radiation source and a photon beam detector, the digital images taken at different object-detector distances or source-detector distances to create unique grain diffraction patterns in each one of the digital images, and forming the inspection image from image features common to the digital images at a common scale and removing the unique grain diffraction patterns.

There is described a method for forming an inspection image of an object from radiographic imaging. The method has: forming the inspection image including scaling a feature of the object in one or more digital images to a common scale, the digital images including first and second digital images of the object, the first digital image having the feature at a first scale, the first digital image having a first grain diffraction pattern at the first scale, the second digital image having the feature at a second scale different from the first scale, the second digital image having a second grain diffraction pattern at the second scale, the second grain diffraction pattern different from the first grain diffraction pattern, the common scale common to both the first and second digital images after said scaling, and removing grain differences between the first and second grain diffraction patterns at the common scale.

A molding system molding a sand mold includes a flask, a tank connected to a compressed air source, including an opened end part, and configured to internally store sand, a nozzle attached to the end part of the tank and configured to guide the sand in the tank into the flask, and a control unit configured to output information about clogging of the nozzle when, during sand filling in which the sand in the tank is introduced into the flask through the nozzle, a relationship where pressure inside the tank is higher than initial pressure during the sand filling in which the sand is introduced into the flask is satisfied.

A method of detecting defects on a surface or interface of a part is provided. The method includes: providing data from an X-ray scan of the part; processing the scan data to obtain an original 3D or 2D model of a surface or interface topology of the part; and filtering the original 3D or 2D model of the surface or interface topology to identify deviations from the expected surface or interface topology of the part. The identified deviations may be produced by surface or interface defects on the part.

One variation of a method for monitoring manufacture of assembly units includes: receiving selection of a target location hypothesized by a user to contain an origin of a defect in assembly units of an assembly type; accessing a feature map linking non-visual manufacturing features to physical locations within the assembly type; for each assembly unit, accessing an inspection image of the assembly unit recorded by an optical inspection station during production of the assembly unit, projecting the target location onto the inspection image, detecting visual features proximal the target location within the inspection image, and aggregating non-visual manufacturing features associated with locations proximal the target location and representing manufacturing inputs into the assembly unit based on the feature map; and calculating correlations between visual and non-visual manufacturing features associated with locations proximal the target location and the defect for the set of assembly units.

Examples of methods for object manufacturing visualization by an electronic device are described herein. In some examples, a predicted thermal image of additive manufacturing is determined using a machine learning model. In some examples, a captured thermal image is obtained. In some examples, a graphical overlay of the predicted thermal image with the captured thermal image is presented.

There are described herein methods and system for generating an inspection image of an object from radiographic imaging. The method comprises obtaining a plurality of digital images of the object positioned between a radiation source and a photon beam detector, the digital images taken at different object-detector distances or source-detector distances to create unique grain diffraction patterns in each one of the digital images, and forming the inspection image from image features common to the digital images at a common scale and removing the unique grain diffraction patterns.