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author:

Ge, Shuyi (Ge, Shuyi.) [1] | Zeng, Jiale (Zeng, Jiale.) [2] | Wang, Kang (Wang, Kang.) [3] | Wang, Liping (Wang, Liping.) [4]

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EI

Abstract:

The thin-walled part is extensively applied to the plentiful industries including automotive and aerospace, which inevitably suffer the force-induced deformation during milling due to their low stiffness characteristics. This leads to a reduction in machining accuracy and even results in component damage. To address the issue, a deformation prediction model without iteration considering the IUCT (Instantaneous Undeformed Chip Thickness) update is proposed. First, based on the stiffness equation, the node division method is applied to tool-workpiece deformation model, in which solution scale is reduced to improve the model efficiency. Then, to establish an iterative model for the actual deformation, the coupling effect among the milling force, radial cutting depth, IUCT and deformation need to be considered into the prediction model. Next, a non-iterative deformation prediction method is proposed, in which the milling force model is reconstructed to obtain the generalized deformation formula of the closed-form solution. Moreover, the impact of the IUCT update on both milling force and deformation is analyzed. Finally, the correctness of the proposed method is verified through flank milling experiments, which shows the average accuracy of deformation can reach 97.5 %. The accuracy and efficiency of the proposed method are verified in different scenarios by comparison with other methods. © 2025

Keyword:

Efficiency Forecasting Iterative methods Milling (machining) Prediction models Stiffness Thin walled structures

Community:

  • [ 1 ] [Ge, Shuyi]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Zeng, Jiale]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Wang, Kang]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Wang, Liping]Department of Mechanical Engineering, Tsinghua University, Beijing; 100084, China

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Source :

Journal of Manufacturing Processes

ISSN: 1526-6125

Year: 2025

Volume: 154

Page: 134-149

6 . 1 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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