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Publications

Search Publications by

Gregory W Vogl (Fed)

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Displaying 1 - 25 of 35

Influence of bearing ball recirculation on error motions of linear axes

January 10, 2021
Author(s)
Gregory W. Vogl, Kyle F. Shreve, Alkan Donmez
For positioning systems utilizing linear guides and trucks with recirculating balls, a method is presented that uses the measured total error motions and the measured phase of ball loops within trucks to determine the influence of each ball loop on the

Bearing Metrics for Health Monitoring of Machine Tool Linear Axes

June 13, 2019
Author(s)
Gregory W. Vogl, Brian C. Galfond, Jordan Jameson
Diagnostics and prognostics of rotating machinery ball bearings is quite mature with an abundance of available methods and algorithms. However, extending these algorithms to other ball bearing applications is challenging and may not yield usable results

Root-cause analysis of wear-induced error motion changes of machine tool linear axes

May 23, 2019
Author(s)
Gregory W. Vogl, Jordan Jameson, Andreas Archenti, Karoly Szipka, M A. Donmez
Manufacturers need online methods that give updated information of system capabilities to know and predict the performance of their machine tools. Use of an inertial measurement unit (IMU) is attractive for on-machine condition monitoring, so methods based

Identification of machine tool squareness errors via inertial measurements

May 14, 2019
Author(s)
Karoly Szipka, Andreas Archenti, Gregory W. Vogl, Alkan Donmez
The accuracy of multi-axis machine tools is affected to a large extent by the behaviour of the system's axes and their error sources. In this paper, a novel methodology using circular inertial measurements quantifies changes in squareness between two axes

Identification of machine tool geometric performance using on-machine inertial measurements

June 6, 2017
Author(s)
Gregory W. Vogl, Radu Pavel, Andreas Archenti, Thomas J. Winnard, Matlock M. Mennu, Brian A. Weiss, Alkan Donmez
Machine tools degrade during operations, yet accurately detecting degradation of machine components such as linear axes is typically a manual and time-consuming process. Thus, manufacturers need automated and efficient methods to diagnose the condition of

Inertial Measurement Unit for On-Machine Diagnostics of Machine Tool Linear Axes

October 7, 2016
Author(s)
Gregory W. Vogl, Alkan Donmez, Andreas Archenti, Brian A. Weiss
Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of machines' components such as linear axes is typically a manual and time-consuming process. Thus, manufacturers need automated, efficient

Diagnostics for geometric performance of machine tool linear axes

April 29, 2016
Author(s)
Gregory W. Vogl, M A. Donmez, Andreas Archenti
Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of linear axes is mainly a manual and time-consuming process. Thus, manufacturers need automated and efficient methods to diagnose the

A defect-driven diagnostic method for machine tool spindles

December 31, 2015
Author(s)
Gregory W. Vogl, M A. Donmez
Simple vibration-based metrics are, in many cases, insufficient to diagnose machine tool spindle condition. These metrics couple defect-based motion with spindle dynamics; diagnostics should be defect-driven. A new method and spindle condition estimation

A Sensor-Based Method for Diagnostics of Machine Tool Linear Axes

October 23, 2015
Author(s)
Gregory W. Vogl, Brian A. Weiss, Alkan Donmez
A linear axis is a vital subsystem of machine tools, which are vital systems within many manufacturing operations. When installed and operating within a manufacturing facility, a machine tool needs to stay in good condition for parts production. All

Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems: Key Findings from a Roadmapping Workshop

October 23, 2015
Author(s)
Brian A. Weiss, Gregory W. Vogl, Moneer Helu, Guixiu Qiao, Joan Pellegrino, Mauricio Justiniano, Anand Raghunathan
The National Institute of Standards and Technology (NIST) hosted the Roadmapping Workshop - Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems (PHM4SMS) in Fall 2014 to discuss the needs and priorities of stakeholders

Reconfigurable Data Driven Virtual Machine Tool: Geometric Error Modeling and Evaluation

August 31, 2015
Author(s)
Ronnie R. Fesperman Jr., Shawn P. Moylan, Gregory W. Vogl, M A. Donmez
Standards communities are actively working to establish robust machining and measurement tests used to evaluate the machining performance of 5-axis machining centers through the direct and indirect measurement of the simultaneous motions of all five axes