Patents by Inventor Sneha Prabha Narra

Sneha Prabha Narra 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).

  • Non-dimensionalization of variables to enhance machine learning in additive manufacturing processes
    Patent number: 11491729
    Abstract: A method for training a machine learning engine for modeling of a physical system includes receiving process data representing measurements of a physical system. The method includes applying a transform to values of the at least two variables of the process data to generate a dimensionless parameter having a parameter value corresponding to each measurement of the physical system for the at least two variables. The method includes training the machine learning engine using a set of generated training data including the non-dimensionalized parameter, to output a prediction of a value of a physical effect of the physical system for values of the variables that are not included in the process data. The method includes controlling an additive manufacturing process for the material by setting the at least one physical property to the value of the at least one process variable during fabrication of a part.
    Type: Grant
    Filed: May 2, 2019
    Date of Patent: November 8, 2022
    Assignee: Carnegie Mellon University
    Inventors: Sneha Prabha Narra, Jack Lee Beuth, Jr.
  • NON-DIMENSIONALIZATION OF VARIABLES TO ENHANCE MACHINE LEARNING IN ADDITIVE MANUFACTURING PROCESSES
    Publication number: 20190337232
    Abstract: A method for training a machine learning engine for modeling of a physical system includes receiving process data representing measurements of a physical system. The method includes applying a transform to values of the at least two variables of the process data to generate a dimensionless parameter having a parameter value corresponding to each measurement of the physical system for the at least two variables. The method includes training the machine learning engine using a set of generated training data including the non-dimensionalized parameter, to output a prediction of a value of a physical effect of the physical system for values of the variables that are not included in the process data. The method includes controlling an additive manufacturing process for the material by setting the at least one physical property to the value of the at least one process variable during fabrication of a part.
    Type: Application
    Filed: May 2, 2019
    Publication date: November 7, 2019
    Inventors: Sneha Prabha Narra, Jack Lee Beuth, JR.