Disclosed herein is a method of repairing a component. The method includes scanning a damaged area of the component, and preparing a repair plan in response to the scanning. The method may also include providing the repair plan to a guided tool having a position correcting controller, and removing damaged material from the component in preparation for a repair operation. An apparatus is also disclosed that includes a computing device configured for performing actions. The computing device includes a processor and a local memory. The actions include detecting damage to the component, recording position information of the detected damage, and incorporating the position information in the repair plan.

The present invention relates to an airplane structure stiffener repair method based on measured data guidance. The method includes: respectively measuring point cloud data on a surface of a structure stiffener and point cloud data on a surface of a to-be-assembled position of a body; respectively extracting all assembly plane features in two point cloud data based on an RANSAC algorithm; performing pre-alignment according to the plane features; performing accurate alignment based on a signed distance constraint according to repair tolerance requirements; and calculating a repair allowance, and generating a machining path to serve as an accurate machining basis. According to the method in the present invention, a repair amount can be accurately calculated by virtue of an alignment algorithm of the signed distance constraint, and an envelope relationship during model matching is met.

A bead appearance inspection device includes an input unit configured to enter input data related to a welding bead of a workpiece produced by welding, a first determination unit configured to perform a first inspection determination related to a shape of the welding bead based on a comparison between the input data and a master data, k second determination units, where k is an integer of 1 or more, that are equipped with k types of artificial intelligence and that are configured to perform a second inspection determination related to a welding defect of the welding bead based on processings of the k types of artificial intelligence targeting the input data, and a comprehensive determination unit configured to output a result of an appearance inspection of the welding bead to an output device based on determination results of the first determination unit and the k second determination units.

A method to derive and apply computer numerical control global offsets includes: measuring features of a machined part using a coordinate measuring machine (CMM); programming a first processor within the CMM to receive the dimensions of the features and to output computer numerical control (CNC) offsets; and forwarding the CNC offsets from the CMM to a CNC machining system to correct operation of the CNC machining system.

An example method of correcting a defect in a seat comprises the steps of: (a) imaging a seat to obtain an image of the seat, a portion of the seat having a defect; (b) applying a localized boundary around the portion of the seat having the defect within the image of the seat; (c) translating the localized boundary into a seat specific map of a baseline model of the seat such that a portion of the baseline model of the seat that corresponds to the portion of the seat having the defect within the image of the seat is disposed within a translated localized boundary; (d) selecting a predetermined path for an automated device to correct the portion of the seat having the defect based on the portion of the baseline model of the seat; and (e) correcting the portion of the seat having the defect.

The present disclosure provides a wafer repair method, system, apparatus and device, and a storage medium, relating to the field of semiconductor devices. The method includes: a laser equipment acquires test data for repairing a predetermined wafer; the laser equipment sending the test data to a processing server so that the processing server converts the test data into repair data in a predetermined format; and the laser equipment obtaining the repair data in the predetermined format to repair the predetermined wafer.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided repair of physical structures include: generating a two dimensional difference image from a first three dimensional model of at least one actual three dimensional surface of a manufactured object, and a second three dimensional model of at least one source three dimensional surface used as input to a manufacturing process that generated the manufactured object; obtaining from an image-to-image translation based machine learning algorithm, trained using pairs of input images representing deformed and deformed plus surface defected added versions of a nominal three dimensional surface, a translated version of the two dimensional image; generating from the translated version of the two dimensional image a third three dimensional model of at least one morphed three dimensional surface corresponding to the at least one source three dimensional surface. Further, defects can be removed based on the third three dimensional model.

Multicomponent module assembly by identifying a failed site on a laminate comprising a plurality of sites, adding a machine discernible mark associated with the failed site, placing an electrically good element at a successful site; and providing an MCM comprising the laminate, and the electrically good element.

An example method of correcting a defect in a seat comprises the steps of: (a) imaging a seat to obtain an image of the seat, a portion of the seat having a defect; (b) applying a localized boundary around the portion of the seat having the defect within the image of the seat; (c) translating the localized boundary into a seat specific map of a baseline model of the seat such that a portion of the baseline model of the seat that corresponds to the portion of the seat having the defect within the image of the seat is disposed within a translated localized boundary; (d) selecting a predetermined path for an automated device to correct the portion of the seat having the defect based on the portion of the baseline model of the seat; and (e) correcting the portion of the seat having the defect.

A repair welding system includes an inspection device configured to inspect an appearance of a welded portion of a workpiece, and a robot control device that controls a robot configured to weld the workpiece. The inspection device determines whether there is a defective portion among welded portions of the workpiece based on a predetermined standard, and sets one of a plurality of defect ranks to the defective portion in a case that the defective portion is detected. The robot control device generates a repair welding program corresponding to the defect rank, and instructs the robot to execute, in accordance with the repair welding program, a repair welding on the defective portion to which the defect rank is set.