Relative vibration identification of cutter and workpiece based on improved bidimensional empirical mode decomposition

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.

Keywords

bidimensional empirical mode decomposition / spatial spectrum analysis / boundary effect / vibration identification / surface topography

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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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