Patents by Inventor Carla Elizabeth Reynolds

Carla Elizabeth Reynolds 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).

  • Object design using machine-learning model
    Patent number: 11256231
    Abstract: A system to aid in design for manufacturing an object includes a processor and a memory configured to store instructions. The processor is configured to receive first data representing a design of the object to be manufactured and second data representing a machine-learning model. The processor is configured to execute the instructions to generate third data using the first data and the second data. The third data indicates at least one of a modification to the design of the object or process conditions for production of the object. The processor is configured to send the design of the object, the process conditions, or both, to a manufacturing tool to enable production of the object. The machine-learning model is representative of production data and based at least partially on one or more of: object features, process parameters, environmental factors, and quality data.
    Type: Grant
    Filed: February 27, 2019
    Date of Patent: February 22, 2022
    Assignee: The Boeing Company
    Inventors: Phillip John Crothers, Carla Elizabeth Reynolds, Alexander Rubin, Samuel J. Tucker, Gregg Robert Bogucki, Joshua David Kalin
  • OBJECT DESIGN USING MACHINE-LEARNING MODEL
    Publication number: 20200272129
    Abstract: A system to aid in design for manufacturing an object includes a processor and a memory configured to store instructions. The processor is configured to receive first data representing a design of the object to be manufactured and second data representing a machine-learning model. The processor is configured to execute the instructions to generate third data using the first data and the second data. The third data indicates at least one of a modification to the design of the object or process conditions for production of the object. The processor is configured to send the design of the object, the process conditions, or both, to a manufacturing tool to enable production of the object. The machine-learning model is representative of production data and based at least partially on one or more of: object features, process parameters, environmental factors, and quality data.
    Type: Application
    Filed: February 27, 2019
    Publication date: August 27, 2020
    Inventors: Phillip John Crothers, Carla Elizabeth Reynolds, Alexander Rubin, Samuel J. Tucker, Gregg Robert Bogucki, Joshua David Kalin