Dataset for a reduced self-calibrating method for rotary table error motions
<p><strong>Ball plate measurement dataset</strong></p> <p>Two datasets from the measurements of a ball plate for the application of a novel method for the determination of rotary table errors in six degrees of freedom on coordinate measuring machines are provided. The method is based on the measurement of an uncalibrated circular ball plate in different rotational positions on the rotary table, also referred to as the three-rosette method. The novel procedure allows to reduce the number of measurement positions significantly compared to the complete three-rosette method whereas the measurement uncertainty still remains sufficiently small. The method relies on error separation and is self-calibrating which means that no external reference is required. The sophisticated design of a new ball plate allows to determine the rotary table errors in angular steps of only 5°.</p> <p>Provided are two datasets:</p> <ul> <li>One dataset of a measurement of a ball plate with 12 equidistant balls for the detection of the rotary table errors in steps of 30 degrees, using the complete three-rosette method.</li> <li>One dataset of a measurement of a ball plate with 12 non-equidistant balls for the detection of the rotary table errors in steps of 5 degrees, using the new reduced three-rosette method.</li> </ul> <p> </p> <p><strong>Acknowledgement</strong></p> <p>This dataset was obtained within the 19ENG07 Met4Wind project. This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.</p> <p>Project title: Metrology for enhanced reliability and efficiency of wind energy systems<br> Funder name: European Commission<br> Funder ID: 10.13039/100014132<br> Grant number: 19ENG07 Met4Wind<br> Link to project homepage: <a href="https://www.ptb.de/empir2020/met4wind/home/">https://www.ptb.de/empir2020/met4wind/home/</a></p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0
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