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Inertial Measuremen...
Inertial Measurement Unit for On-Machine Diagnostics of Machine Tool Linear Axes
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- Vogl, Gregory W. (author)
- National Institute of Standards and Technologies NIST
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- Donmez, M. A. (author)
- National Institute of Standards and Technologies NIST
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- Archenti, Andreas, 1973- (author)
- KTH,Industriell produktion,Precision Engineering, Manufacturing and Metrology
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- Weiss, Brian A. (author)
- National Institute of Standards and Technologies NIST
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(creator_code:org_t)
- 2016
- 2016
- English.
- Related links:
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https://urn.kb.se/re...
Abstract
Subject headings
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- 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, and robust methods to diagnose the condition of their machine tool linear axes with minimal disruptions to production. Towards this end, a method was developed to use data from an inertial measurement unit (IMU) for identification of changes in the translational and angular errors due to axis degradation. The IMU-based method uses data from accelerometers and rate gyroscopes to identify changes in linear and angular errors due to axis degradation. A linear axis testbed, established for the purpose of verification and validation, revealed that the IMU-based method was capable of measuring geometric errors with acceptable test uncertainty ratios. Specifically, comparison of the IMU-based and laser-based results demonstrate that the IMU-based method is capable of detecting micrometer-level and microradian-level degradation of linear axes. Consequently, an IMU was created for application of the IMU-based method on a machine tool as a proof of concept for detection of linear axis error motions. If the data collection and analysis are integrated within a machine controller, the process may be streamlined for the optimization of maintenance activities and scheduling, supporting more intelligent decision-making by manufacturing personnel and the development of self-diagnosing smart machine tools.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Keyword
- Machine tool
- linear axis
- sensors
- diagnostics
- Industriell ekonomi och organisation
- Industrial Economics and Management
- SRA - Produktion
- SRA - Production
Publication and Content Type
- ref (subject category)
- kon (subject category)
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