Gear Shape Parameter Measurement Using a Model-Based Scanning Multi-Distance Measurement Approach
To reduce wind turbine failures by defective drive trains, deviations in the geometry of large gears (diameter ≳ 1 m) must be extensively determined with single-digit micrometer uncertainties. Fixed measuring volumes limit standard measuring methods like coordinate and gear measuring instruments for...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/14/3910 |
| _version_ | 1797562561006141440 |
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| author | Marc Pillarz Axel von Freyberg Andreas Fischer |
| author_facet | Marc Pillarz Axel von Freyberg Andreas Fischer |
| author_sort | Marc Pillarz |
| collection | DOAJ |
| description | To reduce wind turbine failures by defective drive trains, deviations in the geometry of large gears (diameter ≳ 1 m) must be extensively determined with single-digit micrometer uncertainties. Fixed measuring volumes limit standard measuring methods like coordinate and gear measuring instruments for large gear measurements. Therefore, a model-based scanning multi-distance measurement approach for gear shape parameters is presented. The measurement approach has a scalable design and consists of a confocal-chromatic sensor, rotary table as a scanning unit and model-based signal processing. A preliminary study on a midsize spur gear demonstrates the general feasibility of the model-based scanning multi-distance measurement approach. As a result, the mean base circle radius as the fundamental gear shape parameter is determined with an uncertainty of <5 μm. The calibration and adjustment of the sensor arrangement were performed with a known calibration gear. Scalability is not experimentally validated in this article. However, simulations verify the scalability of the measurement approach in a first step. For gears with 1 m in diameter and varying tooth flank geometries, the estimated achievable uncertainty of the mean base circle radius is still <5 μm. Therefore, the model-based scanning multi-distance measurement approach is a promising alternative for gear inspection. |
| first_indexed | 2024-03-10T18:29:59Z |
| format | Article |
| id | doaj.art-c95b7d96e5ae4c0a9661f1b3947c25cc |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T18:29:59Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c95b7d96e5ae4c0a9661f1b3947c25cc2023-11-20T06:41:53ZengMDPI AGSensors1424-82202020-07-012014391010.3390/s20143910Gear Shape Parameter Measurement Using a Model-Based Scanning Multi-Distance Measurement ApproachMarc Pillarz0Axel von Freyberg1Andreas Fischer2Bremen Institute for Metrology, Automation and Quality Science (BIMAQ), University of Bremen, 28359 Bremen, GermanyBremen Institute for Metrology, Automation and Quality Science (BIMAQ), University of Bremen, 28359 Bremen, GermanyBremen Institute for Metrology, Automation and Quality Science (BIMAQ), University of Bremen, 28359 Bremen, GermanyTo reduce wind turbine failures by defective drive trains, deviations in the geometry of large gears (diameter ≳ 1 m) must be extensively determined with single-digit micrometer uncertainties. Fixed measuring volumes limit standard measuring methods like coordinate and gear measuring instruments for large gear measurements. Therefore, a model-based scanning multi-distance measurement approach for gear shape parameters is presented. The measurement approach has a scalable design and consists of a confocal-chromatic sensor, rotary table as a scanning unit and model-based signal processing. A preliminary study on a midsize spur gear demonstrates the general feasibility of the model-based scanning multi-distance measurement approach. As a result, the mean base circle radius as the fundamental gear shape parameter is determined with an uncertainty of <5 μm. The calibration and adjustment of the sensor arrangement were performed with a known calibration gear. Scalability is not experimentally validated in this article. However, simulations verify the scalability of the measurement approach in a first step. For gears with 1 m in diameter and varying tooth flank geometries, the estimated achievable uncertainty of the mean base circle radius is still <5 μm. Therefore, the model-based scanning multi-distance measurement approach is a promising alternative for gear inspection.https://www.mdpi.com/1424-8220/20/14/3910optical gear measurementsmodel-based scanning multi-distance measurementsconfocal-chromatic sensorlarge gearmeasurement uncertainty of gear parameters |
| spellingShingle | Marc Pillarz Axel von Freyberg Andreas Fischer Gear Shape Parameter Measurement Using a Model-Based Scanning Multi-Distance Measurement Approach Sensors optical gear measurements model-based scanning multi-distance measurements confocal-chromatic sensor large gear measurement uncertainty of gear parameters |
| title | Gear Shape Parameter Measurement Using a Model-Based Scanning Multi-Distance Measurement Approach |
| title_full | Gear Shape Parameter Measurement Using a Model-Based Scanning Multi-Distance Measurement Approach |
| title_fullStr | Gear Shape Parameter Measurement Using a Model-Based Scanning Multi-Distance Measurement Approach |
| title_full_unstemmed | Gear Shape Parameter Measurement Using a Model-Based Scanning Multi-Distance Measurement Approach |
| title_short | Gear Shape Parameter Measurement Using a Model-Based Scanning Multi-Distance Measurement Approach |
| title_sort | gear shape parameter measurement using a model based scanning multi distance measurement approach |
| topic | optical gear measurements model-based scanning multi-distance measurements confocal-chromatic sensor large gear measurement uncertainty of gear parameters |
| url | https://www.mdpi.com/1424-8220/20/14/3910 |
| work_keys_str_mv | AT marcpillarz gearshapeparametermeasurementusingamodelbasedscanningmultidistancemeasurementapproach AT axelvonfreyberg gearshapeparametermeasurementusingamodelbasedscanningmultidistancemeasurementapproach AT andreasfischer gearshapeparametermeasurementusingamodelbasedscanningmultidistancemeasurementapproach |