Machining

News and Updates

Tiny red cylinder probes are presented in front of a much larger ice cube.

Spotlight: Shape-Shifting Probes Will Help Improve MRI Imaging

April 12, 2024

Not all gems are the precious stone kind. In the field of magnetic resonance imaging (MRI), a type of microscopic magnetic probes called geometrically encoded

NIST’s Ultra-small, Shape-shifting GEMS Offer an Easier and Cheaper way to improve MRI Imaging

December 20, 2023

Microscopic magnetic probes that change shape in response to their environment may greatly enhance magnetic resonance imaging (MRI). However, producing the

NIST Researcher Presents on Use of SimPROCESD Software to Model Manufacturing Production and Maintenance

December 1, 2023

At the 2023 INFORMS Annual Meeting, NIST researcher Mehdi Dadfarnia presented research findings based on use of NIST-developed SimPROCESD software, which can

Projects and Programs

Augmented Intelligence for Manufacturing Systems (AIMS)

Ongoing

Objective To overcome existing measurement challenges via augmented intelligence, the fusion of integrated metrology, physics-based models, and artificial intelligence, to enable monitoring, diagnostics, and prognostics of manufacturing systems and their processes. Technical Idea One research

Publications

Manufacturing USA Program Strategic Plan

January 6, 2026

Author(s)

Robert Rudnitsky, Said Jahanmir, Zahraha Brunner, Kelley Rogers, Michael Molnar, Mai Tran

The Manufacturing USA Program Strategic Plan details the program's vision, mission, goals, and objectives for the next four years. The plan describes the

Acceleration-based spindle monitoring based on geometric error motions

April 3, 2025

Author(s)

Aaron Cornelius, Gregory Vogl, Ryan Hall, Yongzhi Qu

The development of intelligent machine tools requires integrating sensors that allow the machine to monitor, diagnose, and control the machining process

A Novel Methodology for Incipient Ball Screw Backlash Measurement Using Capacitive Sensor

February 25, 2025

Author(s)

Marcella Miller, Xu Han, Gregory Vogl, Anita Penkova, Xiaodong Jia

Creating a reliable indicator to describe the degradation of ball screws remains a challenging task. Current vibration-based prognostic methods are vulnerable

State Space Neural Network with Nonlinear Physics for Mechanical System Modeling

February 19, 2025

Author(s)

Reese Eischens, Tao Li, Gregory Vogl, Yi Cai, Yongzhi Qu

Dynamic modeling of mechanical systems is important for the monitoring, diagnostics, control, and prediction of system behaviors. Modeling dynamic system is one