Patents by Inventor Ronnie K. Ligeti

Ronnie K. Ligeti 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).

  • Composite manufacturing with a multi-dimensional array of independently-controllable thermal zones
    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
  • COMPOSITE MANUFACTURING WITH A MULTI-DIMENSIONAL ARRAY OF INDEPENDENTLY-CONTROLLABLE THERMAL ZONES
    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