Patents by Inventor David M. Pierce

David M. Pierce 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).

  • SURGICAL TRAINING DEVICE
    Publication number: 20220327958
    Abstract: A surgical training device is provided and includes a first section, a second section, and a third section. The first section includes a first training station and defines a general triangular prism shape. The second section includes a second training station and is configured to engage the first section. The second section defines a general rectangular prism shape. The third section includes a third training station and is configured to engage the second section. The third section defines a general triangular prism shape.
    Type: Application
    Filed: February 28, 2022
    Publication date: October 13, 2022
    Inventors: Brittney J. Leu, Manasvi Varshney, Ryan J. Conlan, Fouzia Raza, Stephanie R. DeVita, Abigail R. Rockefeller, Prashant S. Swami, David M. Pierce
  • Fracture prediction for crystalline microstructures
    Patent number: 7979237
    Abstract: A method for predicting failures in crystalline microstructures is described. Fracture stress distribution data obtained from test samples prepared according to the same manufacturing process as a contemplated device is used to characterize the strength of surfaces in a numerical stress analysis of the device. The reliability is then calculated for surface nodes on the device. The product of all such reliabilities yields the overall reliability (or 1—the overall failure probability) of the device.
    Type: Grant
    Filed: May 7, 2008
    Date of Patent: July 12, 2011
    Assignee: A. M. Fitzgerald & Associates, LLC
    Inventors: Alissa M. Fitzgerald, David M. Pierce
  • Fracture prediction for crystalline microstructures
    Publication number: 20090281768
    Abstract: A method for predicting failures in crystalline microstructures is described. Fracture stress distribution data obtained from test samples prepared according to the same manufacturing process as a contemplated device is used to characterize the strength of surfaces in a numerical stress analysis of the device. The failure probability is then calculated for surface nodes on the device. The product of all such probabilities yields the overall probability of failure of the device.
    Type: Application
    Filed: May 7, 2008
    Publication date: November 12, 2009
    Applicant: A. M. FITZGERALD & ASSOCIATES, LLC
    Inventors: Alissa M. Fitzgerald, David M. Pierce