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Gregory W Vogl (Fed)

Mechanical Engineer

Gregory W. Vogl received the Bachelor’s degree in Engineering Science and Mechanics and Master’s degree and Ph.D. in Engineering Mechanics from Virginia Polytechnic Institute and State University of Blacksburg, Virginia, USA in 2000, 2003, and 2006, respectively. He designed, fabricated, and experimented on microelectromechanical systems as a National Research Council Postdoctoral Researcher at the National Institute of Standards and Technology (NIST). He then joined the Production Systems Group at NIST, in which he worked on standards development for machine tools and vibration metrology for accelerometers. Dr. Vogl is currently a member of the Monitoring, Diagnostics, and Prognostics for Manufacturing Operations (MDP4MO) project, which seeks to develop methodologies, protocols, and reference datasets to enable robust real-time diagnostics and prognostics for smart manufacturing systems. He develops sensor-based solutions for on-machine and real-time health assessment of machine tool linear axes and spindles. For his contributions, Dr. Vogl is the recipient of a NIST Engineering Laboratory Mentoring Award and NIST Colleagues’ Choice Award.

Awards

Patent (U.S. Patent Number: 11,085,793) as Inventor for “Inertial Measurement Unit and Diagnostic System” (2021)

Certificate of Achievement for journal paper, “A review of diagnostic and prognostic capabilities and best practices for manufacturing” (2019), being “One of 2020’s Top Cited JIM Research Articles” in the Journal of Intelligent Manufacturing

2021 EL Outstanding Publication Award

Honorable Mention in America Makes “Fit 2 Face” mask design challenge (2020)

2019 NIST Colleagues’ Choice Award

2017 EL Mentoring Award

2016 NIST Foundations of Leadership Program graduate

Publications

Patents

Graphic for how an inertial measurement unit works

Inertial Measurement Unit and Diagnostic System

NIST Inventors
Gregory W Vogl
Patent Description As a machine tool is utilized for parts production, emerging faults lead to performance degradation, which lowers control precision and accuracy. Eventually, linear axes of computerized, numerical control machines may undergo significant wear that results in a failure and/or a
Created July 30, 2019, Updated August 8, 2022