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Erschienen in: The International Journal of Advanced Manufacturing Technology 11-12/2020

04.02.2020 | ORIGINAL ARTICLE

A new approach to identify geometric errors directly from the surface topography of workpiece in ultra-precision machining

verfasst von: Hongfei Tao, Ran Chen, Jianping Xuan, Qi Xia, Zhongyuan Yang, Xin Zhang, Shuai He, Tielin Shi

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 11-12/2020

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Abstract

Geometric errors are caused due to the inaccuracy of machine components’ manufacturing and assembling, and significantly impact the dimensional precision of workpieces. Many researches have researched the methods of inversely identifying geometric errors of multi-axis milling machines from the workpiece profile, but those methods are inapplicable to identify geometric errors of ultra-precision lathe. This paper presents a new approach to research the inverse identification of geometric errors from the surface topography of workpiece for an ultra-precision lathe. First, a volumetric error model is built to analyze tool position errors caused by geometric errors. Next, a matrix decomposition method is put forward to simplify the calculation of tool position errors and describe the propagation process of geometric errors during the manufacturing process. This method decomposes final tool position errors into a sum of three components, and each has a definite geometric meaning. Then, an equivalent machining model is constructed to identify crucial geometric errors from the surface topography of workpiece. Geometric errors in this model can be worked out precisely through topography data sampled along a radial path on workpiece surface. Finally, some simulation experiments are implemented to verify the precision of matrix decomposition method and one plane surface is machined to validate the effectiveness of equivalent machining model.

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Metadaten
Titel
A new approach to identify geometric errors directly from the surface topography of workpiece in ultra-precision machining
verfasst von
Hongfei Tao
Ran Chen
Jianping Xuan
Qi Xia
Zhongyuan Yang
Xin Zhang
Shuai He
Tielin Shi
Publikationsdatum
04.02.2020
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 11-12/2020
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-019-04661-7

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