Systems and methods for kerfing veneers
US-2015375343-A1 · Dec 31, 2015 · US
US2023182233A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023182233-A1 |
| Application number | US-202117920117-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 3, 2021 |
| Priority date | Apr 21, 2020 |
| Publication date | Jun 15, 2023 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Various embodiments of the teachings herein include a method for determining a radiation intensity and/or a wavelength of a process light, wherein the melt pool underlying the process light can be generated by irradiating a metal material with an energy beam along a path, wherein the energy beam can be moved in accordance with a power profile along the path. The method may include: providing a power profile for a section of the path as an input variable for a machine learning model; training the model using historical and/or synthetic power profiles and associated historical or synthetic radiation intensities and/or wavelengths of the process light for the metal material; and determining the radiation intensity and/or the wavelength of the process light as an output variable of the model.
Opening claim text (preview).
What is claimed is: 1 . A method for determining a radiation intensity and/or a wavelength of a process light, wherein the melt pool underlying the process light can be generated by irradiating a metal material with an energy beam along a path, wherein the energy beam can be moved in accordance with a power profile along the path, the method comprising: providing a power profile for a section of the path as an input variable for a machine learning model; training the model using historical and/or synthetic power profiles and associated historical or synthetic radiation intensities and/or wavelengths of the process light for the metal material; and determining the radiation intensity and/or the wavelength of the process light as an output variable of the model. 2 . The method as claimed in claim 1 , further comprising providing for the model a distance history for the section as an input wherein the distance history describes a distance between the section and the position at which the radiation intensity and/or the wavelength of the process light is to be determined. 3 . The method as claimed in claim 1 , further comprising providing a mass profile as an input variable for the model for the section; wherein the mass profile describes a mass of the material for each point on section. 4 . The method as claimed in claim 1 , further comprising providing a background temperature as an input variable for the model which the material or the workpiece has outside the melt pool. 5 . The method as claimed in claim 1 , wherein the model has a topology having coefficients of regression. 6 . The method as claimed in claim 1 , further comprising providing a volume element that is representative for the section as an input variable for the model. 7 . The method as claimed in claim 1 , further comprising providing as an input variable for the model a workpiece geometry representative for the section. 8 . The method as claimed in claim 1 , wherein the section is selected so that at least one interruption of the energy beam is included. 9 . The method as claimed in claim 1 , wherein the section is selected in dependence upon a workpiece geometry. 10 . A method for determining process deviations of a melting process, the method comprising: providing a target value for a process light of a melt pool, wherein the target value depends on a radiation intensity determined using a method as claimed in claim 1 ; detecting a radiation intensity, emitted by the melt pool and/or a wavelength of the process light as an actual value; and comparing the target value with the actual value in order to detect process deviations. 11 . The method as claimed in claim 10 , further comprising weighting the relevance of the process deviation with the aid of classification parameters. 12 . A method for closed-loop control of a melting process, wherein a process deviation determined using a method as claimed in claim 10 is reduced and/or eliminated by adapting one or multiple process parameters, in particular a beam power, a beam speed, a distance between individual exposure vectors.
Observing the temperature of the workpiece · CPC title
Laser microanalysis, i.e. with formation of sample plasma · CPC title
thermally excited · CPC title
Weld quality monitoring · CPC title
Direct sintering or melting · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.