Method and device for demonstrating the influence of cutting parameters on a cut edge
AssigneeTRUMPF Werkzeugmaschinen GmbH + Co. KG
InventorLeonie Felica Tatzel
Life of this patent
Estimating the term…
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.
Claims17
A method for analyzing a cut edge created by a machine tool, the method comprising the following steps:
- creating the cut edge with the machine tool, the cut edge having at least one feature based on cutting parameters;
- reading in at least one recording of the cut edge, the recording having a multiplicity of recording pixels;
- analyzing the recording by way of a trained neural network for determining at least one cutting parameter;
- analyzing a backpropagation of the neural network for determining a relevance of the recording pixels for ascertaining the determined cutting parameters;
- outputting the recording with identification of at least one of particularly relevant recording pixels or particularly irrelevant recording pixels, and adapting said at least one cutting parameter to change the at least one feature of the cut edge.
A device, comprising:
- a machine tool configured for creating a cut edge, the cut edge having at least one feature based on cutting parameters;
- a camera configured for creating at least one recording of the cut edge, the recording having a multiplicity of recording pixels;
- a computer configured to
- analyze the recording by way of a trained neural network for determining at least one cutting parameter,
- analyze a backpropagation of the neural network for determining a relevance of the recording pixels for ascertaining the determined cutting parameters, and
- output the recording with identification of at least one of particularly relevant recording pixels or particularly irrelevant recording pixels;
- and
- said machine tool being configured for receiving an adapted cutting parameter to change the at least one feature of the cut edge based on the identification of the at least one particularly relevant recording pixel or particularly irrelevant recoding pixels.
Dependencies are inferred from the claim text.