Patents by Inventor Lauren A. Burns

Lauren A. Burns 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: 20230286646
    Abstract: This document details a series of inventions relating to the design and optimization of hybrid-to-electric aircraft. In particular, a system and method is presented to improve the effectiveness of mixed aerodynamic control surfaces which are actuated by a novel electromechanical actuator which allows the system to be tolerant to actuator faults and jams. In addition, innovations relating to integration and quick swap of large energy storage units such as batteries are disclosed, and further, an algorithm which may be used to optimize numerous aspects of the regional hybrid-to-electric aircraft known as Total Cost Door to Door or TCD2D.
    Type: Application
    Filed: February 24, 2023
    Publication date: September 14, 2023
    Inventors: Jimmy Lu, Mathew Isler, Matt Knapp, Kevin Holcomb, Petek Saracoglu, Lauren Burns, Herb West
  • Patent number: 11591074
    Abstract: This document details a series of inventions relating to the design and optimization of hybrid-to-electric aircraft. In particular, a system and method is presented to improve the effectiveness of mixed aerodynamic control surfaces which are actuated by a novel electromechanical actuator which allows the system to be tolerant to actuator faults and jams. In addition, innovations relating to integration and quick swap of large energy storage units such as batteries are disclosed, and further, an algorithm which may be used to optimize numerous aspects of the regional hybrid-to-electric aircraft known as Total Cost Door to Door or TCD2D.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: February 28, 2023
    Inventors: Jimmy Lu, Mathew Isler, Matt Knapp, Kevin Holcomb, Petek Saracoglu, Lauren Burns, Herb West
  • Patent number: 10076606
    Abstract: Insertion devices for installing insertion sets to a user, insertion needles, methods for loading insertion devices with insertion sets, methods for installing insertion sets, methods for instructing others how to load and/or install insertion sets, and certain aspects of insertion sets, including insertion needle hubs.
    Type: Grant
    Filed: December 10, 2008
    Date of Patent: September 18, 2018
    Assignee: Medtronic Minimed, Inc.
    Inventors: William Ambruzs, Lauren Burns, Joseph Christian, Brian Highley, Jason Adams, Charles Houssiere, Randy Jackson
  • Patent number: 10059061
    Abstract: A system for manufacturing a composite structure includes a tool with a surface for supporting component elements of the composite structure. The surface is divided into a multi-dimensional array of thermal zones for in-process control of the temperature of a component element (e.g. resin) of the composite structure. The sensors sense a characteristic of the component element and provide sensor data, which is applied to a machine-learning algorithm configured to generate control data to achieve a defined quality goal. A controller then independently controls the thermal zones to locally heat, cool or maintain the temperature of the component element according to the control data to advance the component element or composite structure to the defined quality goal. This may be performed over a plurality of instances during which the machine-learning algorithm learns to increase advancement of the component element or composite structure to the defined quality goal.
    Type: Grant
    Filed: October 7, 2015
    Date of Patent: August 28, 2018
    Assignee: The Boeing Company
    Inventors: Lauren A. Burns, Max M. Osborne, Martin A. Szarski, Ronnie K. Ligeti, David Pook, Andrew K. Glynn
  • Publication number: 20170100894
    Abstract: A system for manufacturing a composite structure includes a tool with a surface for supporting component elements of the composite structure. The surface is divided into a multi-dimensional array of thermal zones for in-process control of the temperature of a component element (e.g. resin) of the composite structure. The sensors sense a characteristic of the component element and provide sensor data, which is applied to a machine-learning algorithm configured to generate control data to achieve a defined quality goal. A controller then independently controls the thermal zones to locally heat, cool or maintain the temperature of the component element according to the control data to advance the component element or composite structure to the defined quality goal. This may be performed over a plurality of instances during which the machine-learning algorithm learns to increase advancement of the component element or composite structure to the defined quality goal.
    Type: Application
    Filed: October 7, 2015
    Publication date: April 13, 2017
    Inventors: Lauren A. Burns, Max M. Osborne, Martin A. Szarski, Ronnie K. Ligeti, David Pook, Andrew K. Glynn