Described herein are methods and manufacturing systems that select fasteners for pre-feeding and, in some examples, pre-feed the selected fasteners. These methods involve aggregating historical manufacturing data, comprising hole identifications and fastener grip lengths, previously selected for these hole identifications. A specific grip length and a corresponding fastener repeatability rating are then determined for each hole identification from this historical manufacturing data. For example, a specific grip length corresponds to the most frequently selected grip length for this hole identification. In some examples, the historical manufacturing data is analyzed using machine learning. The fastener repeatability rating is compared to an operating threshold, in some examples, to determine if the corresponding grip length should be selected for a particular hole location. This grip length selection is then used for pre-feeding a corresponding fastener into an automated drilling machine, thereby saving significant processing time relative to conventional processes.

A method and system for drilling holes in a repaired composite structure. Four corner holes are selected from holes outside of a repaired area in the repaired composite structure. The four corner holes define a rectangle encompassing the repaired area with sides that each include a pair of corner holes with intermediate holes in between. A surface representation is generated based on a scan of the repaired composite structure that includes the rectangle. Side hole locations between a corresponding pair of corner holes are generated for each side of the rectangle. Grid vector lines are generated between corresponding pairs of side hole locations on opposite sides of the rectangle. The grid vector lines intersect each other at intersection points on the surface representation. Point coordinates are determined for intersection points that lie within the repaired area. A path is created for drilling holes at point coordinates for the intersection points.

A method and apparatus for machining a part for an assembly. First sensor data is acquired for a surface of a first part from a first sensor system. Second sensor data is acquired for a set of existing holes in a second part from a second sensor system. A surface model of the surface of the first part is generated using the first sensor data. First offset data is computed based on a nominal model of a third part that is nominally positioned relative to the surface model within a three-dimensional virtual environment. Second offset data is computed for the set of existing holes using the second sensor data. Overall offset data is generated using the first and second offset data, wherein the overall offset data is used to drill a set of holes in the third part for use in fastening the third part to the second part.

A round hole machining method and a round-hole machining device in which machining can be accurately performed regardless of a residual stress caused by casting. An out-of-round hole machining device, which carries out inner diameter machining for a bore in a cast cylinder block includes the following: a stress deformation amount correspondence table that stores, for each portion of the cylinder block, a stress deformation amount based on stress that resides in the cylinder block during casting; a machining shape prediction section that predicts the machining shape on the basis of the stress deformation amount read from the stress deformation amount correspondence table; and a motor control unit that reverses the predicted machining shape with respect to a target shape and carries out reverse machining on a workpiece.

Provided is a numerical control device that appropriately promotes the discharge of chips and enables efficient drilling. This numerical control device comprises: a deep-hole drilling execution unit that performs deep hole drilling while repeating first cutting operation to cut a workpiece while rotating a cutting tool and second cutting operation to cut the workpiece at a slower speed than the first cutting operation while rotating the cutting tool; and a chip discharge time calculation unit that calculates the chip discharge time according to the position of the cutting tool after each cut in the first cutting operation. The deep-hole drilling execution unit performs the second cutting operation during the chip discharge time.

A computing device computes a position of a tool that cuts a ridge line formed by a peripheral wall face and a cylinder peripheral face forming a through hole, having the shape of a column, penetrating through a workpiece. The computing device calculates the position on the basis of: a first basis vector and a second basis vector on a plane perpendicular to a tangent to the ridge line; workpiece data; an ellipse formed by the plane and the column; a predetermined processing width; and a radius of the tool.