Abstract
In the process of cutting, the relative vibration between the cutter and the workpiece has an important effect on the surface topography. In this study, the bidimensional empirical mode decomposition (BEMD) method is used to identify such effect. According to Riesz transform theory, a type of isotropic monogenic signal is proposed. The boundary data is extended on the basis of a similarity principle that deals with serious boundary effect problem. The decomposition examples show that the improved BEMD can effectively solve the problem of boundary effect and decompose the original machined surface topography at multiple scales. The characteristic surface topography representing the relative vibration between the cutter and the workpiece through feature identification is selected. In addition, the spatial spectrum analysis of the extracted profile is carried out. The decimal part of the frequency ratio that has an important effect on the shape of the contour can be accurately identified through contour extraction and spatial spectrum analysis. The decomposition results of simulation and experimental surface morphology demonstrate the validity of the improved BEMD algorithm in realizing the relative vibration identification between the cutter and the workpiece.
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Abbreviations
- z v :
-
Displacement of mono-frequency vibration
- A v :
-
Amplitude of mono-frequency vibration
- f v :
-
Frequency of mono-frequency vibration
- φ :
-
Spindle rotation angular
- f s :
-
Spindle rotation frequency
- f r :
-
Frequency ratio
- I :
-
The integral part of the frequency ratio
- D :
-
The decimal part of the frequency ratio
- ϕ :
-
Phase shift
- S fn :
-
Feed per revolution
- f :
-
Feed speed of hydrostatic guide
- ω :
-
Spindle speed
- f n :
-
Spatial frequency
- l a :
-
Local amplitude
- l p :
-
Local phase
- l f :
-
Local frequencies
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Acknowledgements
This work was supported by the Science Challenge Project (Grant No. JCKY2016212A506-0105) and the National Natural Science Foundation of China (Grant No. 11802279).
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Li, J., Li, X., Wei, W. et al. Relative vibration identification of cutter and workpiece based on improved bidimensional empirical mode decomposition. Front. Mech. Eng. 15, 227–239 (2020). https://doi.org/10.1007/s11465-020-0587-1
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DOI: https://doi.org/10.1007/s11465-020-0587-1