Patents by Inventor Duncan McCallum

Duncan McCallum 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: 20240077849
    Abstract: Disclosed herein are systems and methods for using printing process data to predict quality measures for three-dimensional (3D) printed objects and properties of the materials comprising the 3D objects. Printing may be performed using resistive or Joule printing. The system may include a computer communicatively coupled to a 3D printing apparatus, which may store printing parameters. The 3D printing apparatus may be able to take measurements during a print job, and record those measurements in memory. The 3D printing apparatus may also be able to record printing states before, during, and/or after printing. A combination of printing states, printing parameters, and measurements may be analyzed, for example, by a machine learning algorithm, in order to predict material properties and quality measures.
    Type: Application
    Filed: November 13, 2023
    Publication date: March 7, 2024
    Applicant: Relativity Space, Inc.
    Inventors: Duncan McCallum, Salvador Barriga, Forrest Pieper, Elad Taig, Paul Burke, Kevin Cedrone
  • Patent number: 11853033
    Abstract: Disclosed herein are systems and methods for using printing process data to predict quality measures for three-dimensional (3D) printed objects and properties of the materials comprising the 3D objects. Printing may be performed using resistive or Joule printing. The system may include a computer communicatively coupled to a 3D printing apparatus, which may store printing parameters. The 3D printing apparatus may be able to take measurements during a print job, and record those measurements in memory. The 3D printing apparatus may also be able to record printing states before, during, and/or after printing. A combination of printing states, printing parameters, and measurements may be analyzed, for example, by a machine learning algorithm, in order to predict material properties and quality measures.
    Type: Grant
    Filed: July 20, 2020
    Date of Patent: December 26, 2023
    Assignee: Relativity Space, Inc.
    Inventors: Duncan McCallum, Salvador Barriga, Forrest Pieper, Elad Taig, Paul Burke, Kevin Cedrone
  • Publication number: 20210053275
    Abstract: The present disclosure provides a method for printing a three-dimensional object, comprising calculating at least one deposition parameter based on a computational representation of the 3D object, and using a print head to initiate printing in accordance with the deposition parameter. The printing comprises subjecting at least one feedstock to heating upon flow of electrical current through the feedstock and into the base, or vice versa. Next, (i) one or more properties of the 3D object or feedstock may be measured and (ii) whether the one or more properties of the 3D object measured in (i) meet one or more predetermined properties of the 3D object or the feedstock may be determined. The deposition parameter may be adjusted upon determining that the properties measured do not meet the predetermined properties. The print head and the adjusted deposition parameter may be used to continue to print the 3D object.
    Type: Application
    Filed: August 21, 2020
    Publication date: February 25, 2021
    Inventors: Paul Burke, Elad Taig, Mateo Pena Doll, Duncan McCallum