Patents by Inventor Prathamesh S. Desai

Prathamesh S. Desai 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).

  • System and method for design of rapid excavating and wear-resistant drill bits
    Patent number: 12366842
    Abstract: A method for designing lithology-specific drill bits. The method creates an experimentally verified multiphysics model to predict drilling into site-specific rock formations. A physics-based, Eulerian-Lagrangian computational modeling framework to predict particle flow and tribological phenomena. The method uses this multiphysics model to generate virtual drilling data and then generates a machine learning enabled surrogate model of the physics-based model using the data from virtual drilling to provide design charts for drill bits.
    Type: Grant
    Filed: July 30, 2020
    Date of Patent: July 22, 2025
    Assignee: William Marsh Rice University
    Inventors: Fred C. Higgs, III, Prathamesh S. Desai
  • LASER LEVEL COOLING
    Publication number: 20250113463
    Abstract: A construction laser level including a housing, a laser mount disposed in the housing and at least one laser generator on the laser mount. A fan disposed in the housing and configured to circulate air to improve heat distribution and dissipation.
    Type: Application
    Filed: December 12, 2024
    Publication date: April 3, 2025
    Applicant: Stanley Black & Decker Inc.
    Inventors: Oleksiy P. SERGYEYENKO, Jia Yong JIANG, Steven J. PHILLIPS, Michael C. SCHMITTDIEL, Devansh K. JHAWAR, Akash AGARWAL, JB RING, Sukrutkumar Babasaheb BHANDARE, Jose Guadalupe RAMIREZ, Alexander J. MORGAN, Daniel J. WHITE, Prathamesh S. DESAI, Sergey GALITSKIY, Yen-Ting LAI, Po Hsien TUNG, Thomas S. WOLF
  • LASER LEVEL COOLING
    Publication number: 20240039238
    Abstract: A construction laser level including a housing, a laser mount disposed in the housing and at least one laser generator on the laser mount. The laser mount includes a plurality of heat dissipating fins.
    Type: Application
    Filed: July 28, 2023
    Publication date: February 1, 2024
    Applicant: Stanley Black & Decker Inc.
    Inventors: Oleksiy P. SERGYEYENKO, Jia Yong JIANG, Steven J. PHILLIPS, Michael C. SCHMITTDIEL, Devansh K. JHAWAR, Akash AGARWAL, JB RING, Sukrutkumar Babasaheb BHANDARE, Jose Guadalupe RAMIREZ, Alexander J. MORGAN, Daniel J. WHITE, Prathamesh S. DESAI, Sergey GALITSKIY, Yen-Ting LAI, Po Hsien TUNG
  • A MACHINE LEARNING ENABLED MODEL TO OPTIMIZE DESIGN OF OSSEOINTEGRATION-FRIENDLY PATIENT SPECIFIC 3D PRINTED ORTHOPEDIC IMPLANTS
    Publication number: 20230225871
    Abstract: A method is disclosed for creating a patient-specific orthopedic implant. The method includes creating a numerical representation of an orthopedic implant design based on patient data describing an anatomical, physiological and pathological condition of a patient and simulating a characteristic of the orthopedic implant design based on the numerical representation. The method further includes selecting a patient-specific orthopedic implant design based on the simulated characteristic of the orthopedic implant design and the patient data and constructing at least one patient-specific orthopedic implant based on the selected patient-specific orthopedic implant design.
    Type: Application
    Filed: June 14, 2021
    Publication date: July 20, 2023
    Applicant: William Marsh Rice University
    Inventors: C. Fred Higgs, III, Prathamesh S. Desai, Olufunto Faweya, Benjamin J. Fregly, Ata Babazadeh Naseri
  • SYSTEM AND METHOD FOR DESIGN OF RAPID EXCAVATING ANDWEAR-RESISTANT DRILL BITS
    Publication number: 20220334552
    Abstract: A method for designing lithology-specific drill bits. The method creates an experimentally verified multiphysics model to predict drilling into site-specific rock formations. A physics-based, Eulerian-Lagrangian computational modeling framework to predict particle flow and tribological phenomena. The method uses this multiphysics model to generate virtual drilling data and then generates a machine learning enabled surrogate model of the physics-based model using the data from virtual drilling to provide design charts for drill bits.
    Type: Application
    Filed: July 30, 2020
    Publication date: October 20, 2022
    Applicants: William Marsh Rice University, Carnegie Mellon University
    Inventors: Fred C. Higgs, III, Prathamesh S. Desai
  • MACHINE LEARNING ENABLED MODEL FOR PREDICTING THE SPREADING PROCESS IN POWDER-BED THREE-DIMENSIONAL PRINTING
    Publication number: 20190070787
    Abstract: A method of generating parameters to guide a spreading process of a three dimensional printer may include the following steps: determining one or more properties of an actual powder; generating a virtual powder model which mimics the actual powder; performing one or more virtual spreading simulations; experimentally validating virtual spreading; and using advanced regression techniques to generate spreading process map from a few virtual spreading simulations.
    Type: Application
    Filed: August 10, 2018
    Publication date: March 7, 2019
    Applicants: William Marsh Rice University, Carnegie Mellon University, Center for Technology Transfer and Enterprise Creation
    Inventors: C. Fred Higgs, III, Prathamesh S. Desai