System for 2D and 3D metal processing with fiber optic laser and plasma, that includes CNC for cutting metal plates with fiber optic laser and plasma and a robot arm for cutting and welding metals with fiber optic laser. The system is characterized because it includes three processes in one single equipment: metal cutting with fiber optic laser, metal cutting with plasma and metal welding with fiber optic laser. The equipment has a computer numerical control (CNC) system and a working area of 12003000 mm for cutting metals; it has two cutting heads, one for fiber optic laser and one for plasma as well as one 360 rotating robot arm on which the laser welding head or the laser cutting head can be placed for 3D welding, or cutting circular or rectangular pipes, respectively.

An edge extraction unit extracts an edge image from a photographed image obtained by photographing a product with a camera. A constant edge acquisition unit acquires, as a constant edge image, an edge image in a constant surface where a positional deviation does not occur with respect to a welding point set by a processing program, the acquired image belonging to the extracted edge image. A correction amount acquisition unit performs pattern-matching between a master constant edge image and a workpiece edge image, which are acquired by the constant edge acquisition unit, and acquires a deviation amount between both thereof as a correction amount with respect to the welding point. A processing program correction unit corrects the welding point by the correction amount, and generates a corrected processing program for welding the workpiece. A welding robot welds the workpiece based on the corrected processing program.

A method for controlling a power beam process includes carrying out a plurality of test power beam processes using a power beam on one or more test components and determining a plurality of power distributions corresponding to the plurality of test power beam processes. The method includes determining a plurality of beam parameters, generating derived features based on the plurality of beam parameters, and determining a plurality of process characteristics of each test power beam process. The method further includes generating a comprehensive dataset, dividing the comprehensive dataset into a test dataset and a training dataset, and determining a plurality of key discriminative features from the plurality of derived features of a set of training power distributions of the training dataset.

The invention relates to a machine tool (10) comprising a machine controller (19), a machine frame (11), a work table (13), a tool holder (14), preferably of a standardized design, multiple translational and/or rotational axes (12a, 12b) for adjusting the relative position of the work table (13) and the work holder (14), a tool magazine (16) for one or more material-removing, in particular machining tools (15), a tool-change mechanism for automatically transporting tools between the tool holder (14) and the tool magazine (16), a deposit-welding head (20) that can be inserted into the tool holder (14) and a storage device (25) for storing the deposit-welding head outside the tool holder (14).

A laser welding control method, apparatus and system, and an electronic device are disclosed, the method includes: receiving a current position of a welding head fed back by an encoder; determining whether the current position reaches a set position; and in response to the welding head reaching the set position, sending a laser control signal to a laser device to control the laser device to output laser at the set position.

In a method for machining workpieces within a machining machine a tool is moved relative to a workpiece (1). The tool or the workpiece (1) travels at a predeterminable travel speed in a travel direction which is predetermined by a movement path (3). The movement path (3) is divided into machining portions (4) and acceleration portions (5). Within the machining portions (4), the workpiece is machined between a starting point (6) and an end point (7) of the machining portion (4) at a predeterminable machining travel speed in a machining travel direction. The travel speed is adjusted along the acceleration portion (5), which is defined by the end point (7) of a first machining portion (11) and the starting point (6) of a second machining portion (12), such that the predetermined machining travel speed is reached at the starting point (6) of the machining portion (4).

Systems and methods are disclosed relating to welding sequence guidance using three-dimensional (3D) models. In some examples, a welding sequence program may use 3D models, rather than two-dimensional (2D) images, to guide operators through welding sequences. Since only one 3D model must be saved for each sequence, rather than potentially hundreds of 2D images, substantial memory space may be saved. Additionally, the same 3D model may be used for several welding sequences. Further, the 3D model may be animated to help the operator understand changes in perspective between steps of the welding sequence.