In one aspect the invention relates to a method for calculating control instructions (CI) for controlling a cutting head (H) of a laser machine (L) for cutting a set of contours in a workpiece. The method comprises reading (S71) an encoded cutting plan (P), and continuously determining a state (S73) relating to the processing of the workpiece by the laser machine (L) by means of a set of sensor signals (sens). Further, the method provides a computer-implemented decision agent (DA), which dynamically calculates an action (a) for the machining head (H) to be taken next and based thereon providing control instructions (CI) for executing the processing plan (P) by accessing a trained model with the encoded cutting plan (P) and with the determined state (s).

Disclosed is a method for loading a sheet placement device of a flat bed machine tool with a material sheet, wherein the material sheet is supplied to the machining operation carried out by the flat bed machine tool, starting from a target position assigned to the machining operation in a machine coordinate system, and the flat bed machine tool comprises a camera system having at least one camera. The camera system is designed to produce captured images of the sheet placement device, which are calibrated three-dimensionally in relation to the machine coordinate system of the flat bed machine tool. The method comprises the steps: producing a captured image of the material sheet in the region of the sheet placement device; evaluating the captured image to determine an actual sheet position in the machine coordinate system; measuring a deviation of the determined actual sheet position from the target position; and using the measured deviation to align and position the material sheet.

A processing program analyzer analyzes a processing program and extracts first and second codes included in the processing program and indicating a joint-constituting pair of a first endpoint of a cutting path on a laser cutting start side and a second endpoint of a cutting path on a laser cutting end side. A joint information adder adds joint information indicating the position of at least one of the first code and the second code to the processing program. A joint compensation amount generator generates a joint compensation amount to be set for a joint to be increased or decreased in a joint amount. A transmitter transmits to an NC device the processing program to which the joint information has been added and the joint compensation amount associated with information indicating the joint to be increased or decreased in the joint amount.

Laser cutting systems and methods are described herein. One or more systems include a laser generating component, an optical component, a fixture for holding a support with a part positioned on the support, and a control mechanism for adjusting at least one of the laser generating component, the optical component, and the fixture such that a ratio of a laser energy applied to the part and a part material thickness is maintained within a predetermined acceptable range at each point along a cut path to cut through the part while maintaining the integrity of the support. Other systems and methods are disclosed herein.

In some aspects, material processing head can include a body; an antenna disposed within the body; a first tag, associated with a first consumable component, disposed within a flux communication zone of the body at a first distance from the antenna, the first tag having a first resonant frequency; and a second tag, associated with a second consumable component, disposed within the flux communication zone of the body at a second distance from the antenna, the second tag having a second resonant frequency that is different than the first resonant frequency, where the first and second resonant frequencies are tuned based upon at least one of: i) a difference between the first distance and the second distance; or ii) a characteristic (e.g., shape) of the flux communication zone in which the first tag and/or the second tag is disposed.

Sensor data generated by a sensor of a computer numerically controlled machine can be compared with a forecast. The forecast can include expected sensor data for the sensor, over a course of an execution plan for making a cut with a movable laser cutting head. The sensor data can be generated during execution of the execution plan. During execution of the execution plan, the sensor data can be monitored and a deviation of from the forecast can be detected. It can be determined, based on the detecting, that an anomalous condition of the computer numerically controlled machine has occurred. Based on the determining, an action can be performed.

The present invention relates to a laser processing system (10) comprising a frame structure (12); a work base (14) for supporting a work material (16), wherein the work base (14) defines a work field (28) in a work plane (18), wherein the work plane (18) is parallel to the work base (14); at least one laser device (20) for projecting work light on the work plane (18) and/or on the work material (16), when the work material (16) is disposed on the work base (14), wherein the at least one laser device (20) is attached to the frame structure (12); wherein each laser device (20) is configured for generating one or more reference marks (24) on the work material (16) and/or on the work plane (18) within the corresponding laser field (30), wherein the laser field (30) corresponds to at least a part of the work field (28); an optical detector (40) for scanning the work field (28) for detecting at least a part of the one or more reference marks (24) generated by each laser device (20), wherein the optical detector (40) is movable with respect to the frame structure (12) with not more than two, preferably not more than one, degree of freedom; and a control unit (50) functionally connected to the optical detector (40) and the at least one laser device (20), wherein the control unit (50) is configured for calibrating the at least one laser device (20) based on the reference marks (24) detected by the optical detector (40). The invention further refers to a related method of calibrating one or more laser devices of a laser processing system.

A method of additive manufacturing machine (AMM) build process control includes obtaining AMM machine and process parameter settings, accessing sensor data for monitored physical conditions in the AMM, calculating a difference between expected AMM physical conditions and elements of the monitored conditions, providing the machine and process parameter settings, monitored conditions, and differences to one or more material property prediction models, computing a predicted value or range for the monitored conditions, comparing the predicted value or range to a predetermined target range, based on a determination that predicted value(s) are within the predetermined range, maintaining the machine and process parameter settings, or based on a determination that one or more of the predicted value(s) is outside the predetermined range, generating commands to compensate the machine and process parameter settings, and repeating the closed feedback loop at intervals of time during the build process. A system and a non-transitory medium are also disclosed.

An execution plan segment of an execution plan can be received at a control unit of a computer numerically controlled machine from a general purpose computer. The execution plan segment can define operations for causing movement of a moveable head of the computer numerically controlled machine to deliver electromagnetic energy to effect a change in a material within an interior space of the computer numerically controlled machine. The execution plan segment can include a predefined safe pausing point from which the execution plan can be restarted while minimizing a difference in appearance of a finished work-product relative to if a pause and restart are not necessary. Operations of the computer numerically controlled machine can be commenced only after determining that the execution plan segment has been received up to and including the predefined safe pausing point by the computer numerically controlled machine.

Deep learning is performed by using a material of a processing object, a laser beam parameter showing a property of laser beam which the processing object is irradiated with, and pre-processed part data and post-processed part data that respectively reflect laser processing-involved three-dimensional shapes of a processed part before and after irradiation of the processing object with the laser beam. A first relationship of input data that are the material of the processing object, the pre-processed part data, and the laser beam parameter to output data that is the post-processed part data after irradiation with the laser beam in relation to the input data is accordingly obtained as one learning result.