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Identification of error sources in a five-axis machine tool using FFT analysis
In: The International Journal of Advanced Manufacturing Technology, Jg. 76 (2014-09-17), S. 1353-1363
Online
unknown
Zugriff:
The use of five-axis machine tools is increasing because of their flexibility and high throughput. However, having more components in motion, these machines are more prone to failure than their three-axis counterparts. In this paper, using previously published tests of the double ball bar (DBB), the deviations of the rotary axis are measured and then treated to remove the eccentricity due to setup errors. Fast Fourier transform (FFT) analysis is applied to the centered readings, in order to obtain the machine frequency spectrum. From the latter, the contribution of error sources and their amplitude are obtained. This method can be used on a regular basis as a predictive maintenance (PM) tool. The novelty of this work falls in the realm of condition monitoring (CM) of rotary-axis components using a commercial instrument, with limited angular velocity and number of turns.
| Titel: |
Identification of error sources in a five-axis machine tool using FFT analysis
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| Autor/in / Beteiligte Person: | Angeles, Jorge ; Zargarbashi, S. H. H. |
| Link: | |
| Zeitschrift: | The International Journal of Advanced Manufacturing Technology, Jg. 76 (2014-09-17), S. 1353-1363 |
| Veröffentlichung: | Springer Science and Business Media LLC, 2014 |
| Medientyp: | unknown |
| ISSN: | 1433-3015 (print) ; 0268-3768 (print) |
| DOI: | 10.1007/s00170-014-6323-4 |
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