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An error prediction model of NC machining process considering multiple error sources

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Abstract

In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. The model has been validated with an experiment.

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Authors and Affiliations

  1. Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, College of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China

    HU Weixin, Yanlong Cao & Jiangxin Yang

  2. State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China

    Yanlong Cao

  3. The University Key Subject Opening Laboratory of Henan Province, School of Mechanical & Electronic Engineering, Zhongyuan University of Technology, Henan, 450007, China

    Hui-chao Shang & Wen-bo Wang

Authors
  1. HU Weixin
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  2. Yanlong Cao
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  3. Jiangxin Yang
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  4. Hui-chao Shang
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  5. Wen-bo Wang
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Corresponding author

Correspondence to Yanlong Cao.

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Weixin, H., Cao, Y., Yang, J. et al. An error prediction model of NC machining process considering multiple error sources. Int J Adv Manuf Technol 94, 1689–1698 (2018). https://doi.org/10.1007/s00170-016-9867-7

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  • DOI: https://doi.org/10.1007/s00170-016-9867-7

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