Patents by Inventor Loris ROVEDA

Loris ROVEDA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Computer implemented method of and optimisation tool for refinement of laser cutting processing parameters by means of an optimization tool
    Patent number: 11927927
    Abstract: The present disclosure relates to a method of calculating process parameters. which are optimized for processing a workpiece with specific material properties by means of a laser machine, comprising the method steps of: determining material properties for which the process parameters should be optimized; determining preconfigured initial process parameters; executing a re-optimization algorithm until a target objective function is minimized or maximized for calculating optimized material-specific process parameters by accessing a storage with a statistical model, wherein the statistical model is based on Bayesian optimization using Gaussian Processes as priors.
    Type: Grant
    Filed: August 18, 2021
    Date of Patent: March 12, 2024
    Assignee: BYSTRONIC LASER AG
    Inventors: Michael Held, Dario Piga, Loris Roveda, Alessio Benavoli, Luca Maria Gambardella
  • Computer Implemented Method Of And Optimisation Tool For Refinement Of Laser Cutting Processing Parameters By Means Of An Optimization Tool
    Publication number: 20230259079
    Abstract: The present disclosure relates to a method of calculating process parameters. which are optimized for processing a workpiece with specific material properties by means of a laser machine, comprising the method steps of: determining material properties for which the process parameters should be optimized; determining preconfigured initial process parameters; executing a re-optimization algorithm until a target objective function is minimized or maximized for calculating optimized material-specific process parameters by accessing a storage with a statistical model, wherein the statistical model is based on Bayesian optimization using Gaussian Processes as priors.
    Type: Application
    Filed: August 18, 2021
    Publication date: August 17, 2023
    Applicant: BYSTRONIC LASER AG
    Inventors: Michael HELD, Dario PIGA, Loris ROVEDA, Alessio BENAVOLI, Luca Maria GAMBARDELLA