Abstract: A method for recognizing cutting parameters which are particularly important for specific features of a cut edge. A recording of the cut edge is analyzed by an algorithm having a neural network for determining the cutting parameters. Those recording pixels which play a significant part for ascertaining the cutting parameters are identified by backpropagation of this analysis. An output in the form of a representation of these significant recording pixels, in particular in the form of a heat map, demonstrates to a user of the method which cutting parameters need to be changed in order to improve the cut edge. A computer program product and a device for carrying out the method.

Abstract: A method for ascertaining and correcting the defective machine state and/or at least one defective component state of a machine tool includes ascertaining the state using imaging and analysis of a cut edge produced and comparing with selected machine parameters and making the correction by way of a maintenance instruction based on the machine state for maintaining the machine tool.

Abstract: A method for determining cutting parameters for a laser cutting machine includes the following steps: Receiving at least one machine parameter, at least one process parameter and/or at least one material parameter; outputting properties that can be influenced by the cutting parameters, of a laser-cut edge to be cut by the laser cutting machine; receiving a weighting of the properties; and determining the cutting parameters using the at least one machine parameter, the at least one process parameter, and/or the at least one material parameter and also using the weighted properties. There is also described an apparatus for carrying out the method, in particular an apparatus for machining a workpiece and/or an apparatus which is designed to simulate a production process.

Abstract: A method for evaluating a laser cut edge of a workpiece includes capturing image data of the laser cut edge and its surroundings, segmenting the image data, and identifying a segment of interest of the image data. The segment of interest comprises image data of the laser cut edge. The method further includes carrying out an image quality detection for the segment of interest and generating, based on the image quality detection, an output for a user.

Abstract: A method for processing a workpiece with a laser cutting machine includes reading out a machine parameter and a material parameter and outputting a process parameter recommendation. The process parameter recommendation is created by a process parameter algorithm with at least one data aggregation routine based on a plurality of cut edge quality features. The method further includes generating a cut edge by laser processing the workpiece.