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Workshop-suited identification of thermo-elastic errors of three-axis machine tools using on-machine measurement
Citation Link: https://doi.org/10.15480/882.8847
Publikationstyp
Journal Article
Publikationsdatum
2024-01
Sprache
English
Enthalten in
Volume
85
Start Page
72
End Page
88
Citation
Precision Engineering 85: 72-88 (2024-01)
Publisher DOI
Scopus ID
Publisher
Elsevier
This paper presents a method for workshop-suited identification of thermo-elastic errors of three-axis machine tools (MTs) using on-machine measurement. For this purpose, a new design for a three dimensional artifact is presented. Using the artifact, it is possible to identify all relevant geometric errors of three-axis portal milling machines in table design. The method presented is therefore suitable for the one-time identification of geometric errors caused by manufacturing inaccuracies, assembly-related deviations and wear, and for the identification of thermally induced geometry errors over a long-term period. Since the artifact is scalable in size, it can be easily adapted to different machine sizes. The presented method thus represents a universal and inexpensive possibility to measure geometric and especially thermo-elastic errors. Within the scope of this paper, an error model was established for the investigated machine type and an artifact design was derived on the basis of this model. The suitability of the artifact for identifying thermo-elastic errors has also been investigated experimentally. For this purpose, an artifact made of thermo-invariant material (Invar) was produced. This artifact was measured cyclically on a MT with three linear axes, which was exposed to a controlled thermal load in a temperature chamber. The positions of the geometric features were collected using a 3D touch trigger probe. In addition, the ambient temperatures were recorded. The results of this measurement are discussed in this paper.
Schlagworte
Identification
Machine tool
On-machine measurement
Thermo-elastic errors
DDC Class
670: Manufacturing
Publication version
publishedVersion
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1-s2.0-S0141635923001794-main.pdf
Type
main article
Size
2.65 MB
Format
Adobe PDF