An NC device as a numerical control device controls an additive manufacturing apparatus for producing an object by layering, on a workpiece, a material melted by being irradiated with a beam. The NC device includes: a feature quantity extracting unit that extracts, from image data, a feature quantity for determining a welding state that is a state where a molten material is added to the workpiece; and a process map creating unit that creates a process map in which a shape of the object and a layering condition are associated with each other. The layering condition is selected from among a plurality of layering conditions on the basis of a result of determination of the welding state, and includes at least one of beam intensity and a supply amount of a material.

A laser processing robot system, in which an augmented reality processing technology is used to enable a processing laser beam and its irradiation position to be safely and easily seen, is provided. A laser processing robot system includes an image processing device having an augmented reality image processing unit for performing augmented reality image processing for an actual image including an image of a robot captured by an imaging device. The augmented reality image processing unit is adapted to superimpose a virtual image representing at least one of a laser beam obtained by assuming that the laser beam is emitted from a laser irradiation device to a workpiece, and an irradiation position of the laser beam, onto the actual image, and to display the superimposed image on the display device.

A processor performs an experiment of machining a device to acquire first-type and second-type information each indicating conditions of the experiment of machining and third-type and fourth-type information each indicating a result of the experiment of machining (S401). The processor derives a first expression and a second expression, where the first expression receives first-type and second-type information as inputs and outputs third-type information as more than one solution, and the second expression receives first-type and second-type information as inputs and outputs fourth-type information. The processor derives more than one third expression from the first expression, where the more than one third expression each receives second-type and third-type information as inputs and outputs first-type information (S402). The processor receives second-type and third-type information each measured in machining as inputs and outputs fourth-type information indicating a result of machining using the second expression and the more than one third expression (S403).

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.

A method and a system for monitoring a laser machining process includes the steps of: inputting at least one process signal data set of the laser machining process into an autoencoder formed by a deep neural network; generating a reconstructed process signal data set by means of the autoencoder; determining a reconstruction error based on the at least one process signal data set and the at least one reconstructed process signal data set; and detecting an anomaly of the laser machining process based on the determined reconstruction error. A laser machining method includes the method and a laser machining system includes the system.

Presented are intelligent non-autogenous metalworking systems and control logic for automated wire-to-beam alignment, methods for making/using such systems, and robot-borne laser welding/brazing heads with closed-loop control for real-time wire alignment. A method for controlling operation of a non-autogenous workpiece processing system includes a system controller receiving sensor signals from a position sensor indicative of a location of filler wire discharged into a joint region by a wire feeder. Using the received sensor signals, the controller determines a displacement between the wire location and a location of a beam emitted onto the joint region by a beam emitter. If the wire displacement is greater than a threshold wire displacement value, the controller responsively determines a corrective force calculated to reduce wire displacement to below the threshold wire displacement value. The controller then commands the actuator to pivot the processing head to thereby apply the corrective force to the discharging filler wire.

Methods and systems for touch-sensing to provide an updated user frame are provided. These include the provision of a user frame and the touch-sensing of a workpiece, where the touch-sensing includes performing a touch-sensing schedule. The touch-sensing schedule includes one of a laser touch-sensing event and a wire touch-sensing event, where one of the laser touch-sensing event and the wire touch-sensing event is switched to the other of the laser touch-sensing event and the wire touch-sensing event while performing the touch-sensing schedule. An offset of the workpiece relative to the user frame is determined based on the touch-sensing of the workpiece and the offset is applied to the user frame to provide the updated user frame. The unique dynamic user frame feature enables same touch sensing program to be cloned and applied on multiple robot controllers.

A building time for building an additively-manufactured object is calculated on the basis of the inter-pass time and the welding pass time and is compared with a preset upper limit value, and welding conditions in a depositing plan are repeatedly modified until the building time is equal to or less than the upper limit value. Alternatively, corrections are repeatedly performed until the shape difference between a building shape of built-up object shape data relating to the additively-manufactured object created on the basis of the inter-pass time and the inter-pass temperature, and a building shape of three-dimensional shape data, is smaller than a near net value.

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.

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 1200×3000 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.