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Search Publications by: Gregory W. Vogl (Fed)

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Displaying 26 - 50 of 90

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