Patents by Inventor Nicolas Lammens

Nicolas Lammens 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).

  • Publication number: 20230062268
    Abstract: A computer-implemented method is provided for predicting a fatigue response of a material. The method includes receiving a user input specifying one or more surface roughness parameters that characterize a surface of a material for which fatigue life is to be predicted. The method further includes generating at least one realistic virtual surface profile from the specified one or more surface roughness parameters. The method further includes predicting fatigue life of the material in dependence of a stress field applied to the generated virtual surface profile. In accordance with specific embodiments, the prediction of the fatigue life may be carried out using finite element analysis based simulations, machine learning methods, or combinations thereof.
    Type: Application
    Filed: February 25, 2020
    Publication date: March 2, 2023
    Inventors: Lucia Mirabella, Elena Arvanitis, Dehao Liu, Nicolas Lammens, Hunor Erdelyi, Christoph Ernst Ludwig
  • Patent number: 11586161
    Abstract: A method and a system for fatigue life prediction of additive manufactured components accounting for localized material properties. The method and the system is employed for prediction of fatigue life properties of an additive manufactured element, with a data collection step in which several data points for maximum stress vs. cycles to failure for different given processing steps of the element are collected, with a training step in which a Machine Learning system is trained with the collected data, and with an evaluation step in which the trained Machine Learning system is confronted with actual processing steps and used to predict the fatigue life properties of the element.
    Type: Grant
    Filed: July 10, 2019
    Date of Patent: February 21, 2023
    Assignee: Siemens Industry Software NV
    Inventor: Nicolas Lammens
  • Publication number: 20220146990
    Abstract: A method and a system for fatigue life prediction of additive manufactured components accounting for localized material properties. The method and the system is employed for prediction of fatigue life properties of an additive manufactured element, with a data collection step in which several data points for maximum stress vs. cycles to failure for different given processing steps of the element are collected, with a training step in which a Machine Learning system is trained with the collected data, and with an evaluation step in which the trained Machine Learning system is confronted with actual processing steps and used to predict the fatigue life properties of the element.
    Type: Application
    Filed: July 10, 2019
    Publication date: May 12, 2022
    Inventor: Nicolas Lammens