A novel 3D surface generation model for micro milling based on homogeneous matrix transformation and dynamic regenerative effect

Wanqun Chen, Wenkun Xie, Dehong Huo, Kai Yang

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

A novel 3D surface generation modelling method for micro milling which considers the effect of machining nonlinear dynamics is proposed based on homogeneous matrix transformation. Considering the effects of machining process kinematics, tool run-out and the nonlinear dynamic regenerative effect of the machining system, the relationship between machining process and surface topography is established. On this basis, three typical machining cases, namely static stable, dynamic stable and unstable machining, are investigated in this paper. The machining experiment results demonstrate that the proposed surface generation model can accurately predict surface topography generation and roughness values with different machining conditions. Thus, it can be used not only to optimize the machining parameters for improving the micro-milled surface quality but also to predict the surface topography under pre-defined machining parameters.
LanguageEnglish
Pages146-157
Number of pages12
JournalInternational Journal of Mechanical Sciences
Volume144
Early online date30 May 2018
DOIs
Publication statusPublished - Aug 2018
Externally publishedYes

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machining
Machining
matrices
Surface topography
topography
Milling (machining)
Surface properties
Kinematics
roughness
kinematics
Surface roughness

Cite this

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title = "A novel 3D surface generation model for micro milling based on homogeneous matrix transformation and dynamic regenerative effect",
abstract = "A novel 3D surface generation modelling method for micro milling which considers the effect of machining nonlinear dynamics is proposed based on homogeneous matrix transformation. Considering the effects of machining process kinematics, tool run-out and the nonlinear dynamic regenerative effect of the machining system, the relationship between machining process and surface topography is established. On this basis, three typical machining cases, namely static stable, dynamic stable and unstable machining, are investigated in this paper. The machining experiment results demonstrate that the proposed surface generation model can accurately predict surface topography generation and roughness values with different machining conditions. Thus, it can be used not only to optimize the machining parameters for improving the micro-milled surface quality but also to predict the surface topography under pre-defined machining parameters.",
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A novel 3D surface generation model for micro milling based on homogeneous matrix transformation and dynamic regenerative effect. / Chen, Wanqun; Xie, Wenkun; Huo, Dehong; Yang, Kai.

In: International Journal of Mechanical Sciences, Vol. 144, 08.2018, p. 146-157.

Research output: Contribution to journalArticle

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T1 - A novel 3D surface generation model for micro milling based on homogeneous matrix transformation and dynamic regenerative effect

AU - Chen, Wanqun

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N2 - A novel 3D surface generation modelling method for micro milling which considers the effect of machining nonlinear dynamics is proposed based on homogeneous matrix transformation. Considering the effects of machining process kinematics, tool run-out and the nonlinear dynamic regenerative effect of the machining system, the relationship between machining process and surface topography is established. On this basis, three typical machining cases, namely static stable, dynamic stable and unstable machining, are investigated in this paper. The machining experiment results demonstrate that the proposed surface generation model can accurately predict surface topography generation and roughness values with different machining conditions. Thus, it can be used not only to optimize the machining parameters for improving the micro-milled surface quality but also to predict the surface topography under pre-defined machining parameters.

AB - A novel 3D surface generation modelling method for micro milling which considers the effect of machining nonlinear dynamics is proposed based on homogeneous matrix transformation. Considering the effects of machining process kinematics, tool run-out and the nonlinear dynamic regenerative effect of the machining system, the relationship between machining process and surface topography is established. On this basis, three typical machining cases, namely static stable, dynamic stable and unstable machining, are investigated in this paper. The machining experiment results demonstrate that the proposed surface generation model can accurately predict surface topography generation and roughness values with different machining conditions. Thus, it can be used not only to optimize the machining parameters for improving the micro-milled surface quality but also to predict the surface topography under pre-defined machining parameters.

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