Patents by Inventor Aleksandr Lisovich

Aleksandr Lisovich 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).

  • Patent number: 11633790
    Abstract: An apparatus includes a control system that defines a test part having multiple features of multiple feature types. The control system controls an additive manufacturing (AM) machine to print multiple copies of the test part, with each copy being printed according to a respective set of values used as printing parameters. A measurement system obtains a computed tomography (CT) image of each of the copies of the test part. An analysis system, for each of the plurality of feature types, analyzes the CT images to identify a selected set of values for the printing parameters. The analysis system identifies a portion of the CT image related to a first feature and assesses its density based on an average grayscale value. The AM machine is then controlled to print production parts according to, for each feature type of the production parts, the selected set of values for the printing parameters.
    Type: Grant
    Filed: November 18, 2020
    Date of Patent: April 25, 2023
    Assignees: Carl Zeiss Industrial Metrology, LLC, UT-Battelle, LLC
    Inventors: Pradeep Bhattad, Paul Brackman, Curtis Frederick, Marcin B. Bauza, Edson Costa Santos, Ryan Dehoff, Alex Plotkowski, Aleksandr Lisovich, Jason James Tenboer
  • Publication number: 20220371094
    Abstract: An apparatus includes a control system that defines a test part having multiple features of multiple feature types. The control system controls an additive manufacturing (AM) machine to print multiple copies of the test part, with each copy being printed according to a respective set of values used as printing parameters. A measurement system obtains a computed tomography (CT) image of each of the copies of the test part. An analysis system, for each of the plurality of feature types, analyzes the CT images to identify a selected set of values for the printing parameters. The analysis system identifies a portion of the CT image related to a first feature and assesses its density based on an average grayscale value. The AM machine is then controlled to print production parts according to, for each feature type of the production parts, the selected set of values for the printing parameters.
    Type: Application
    Filed: November 18, 2020
    Publication date: November 24, 2022
    Applicant: UT-Battelle, LLC
    Inventors: Pradeep Bhattad, Paul Brackman, Curtis Frederick, Marcin B. Bauza, Edson Costa Santos, Ryan Dehoff, Alex Plotkowski, Aleksandr Lisovich, Jason James Tenboer