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The recognition method for the fractal and the dynamic on the tool flank of a high-energy-efficiency milling cutter

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Abstract

The friction contact boundary between the tool flank of the milling cutter and the machining transition surface is important indicator to reveal the third deformation zone tool contact relationship and assessing the frictional wear performance of milling cutter. The existing models for friction boundary identification pay attention to the maximum width of accumulated friction and wear on the tool flank, ignoring the variability of the overall and local morphology of the friction boundary on the flank. Aimed at the influence of milling vibration on the instantaneous position of the cutter teeth and the machining transition surface, the solution and discrimination for the instantaneous position vector on the flank was proposed. Based on the mutagenicity of the instantaneous temperature and stress distribution, the influence of the instantaneous contact, extrusion, and deformation between the tool flank and the machined transition surface on the friction area was recognized. The calculation model of friction boundary of the flank was established. The irregularities of the distributions of the friction boundaries of the tool flank were revealed. The fractal recognition methods for instantaneous and cumulative friction boundary of the flank were proposed. And response was studied and verified with experiments. The results showed that it could effectively identify the irregular distribution of the friction boundary on the flank with the use of the above models. The formation and evolution of the friction boundary on the tool flank of the high-energy efficiency milling cutters were revealed.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

This research is funded by Nature Science Foundation of Heilongjiang Province of China, (ZD2020E008), and National Nature Science Foundation of China (51875145).

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Authors and Affiliations

  1. Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, 150080, People’s Republic of China

    Bin Jiang, Simin Ji, Peiyi Zhao & Lili Fan

Authors
  1. Bin Jiang
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  2. Simin Ji
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  3. Peiyi Zhao
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  4. Lili Fan
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Contributions

Conceptualization, Bin Jiang and Simin Ji; methodology, Bin Jiang and Simin Ji.; software, Simin Ji. and Lili Fan; validation, Peiyi Zhao and Simin; investigation, Lili Fan and Simin Ji; data curation, Simin Ji and Lili Fan; writing—original draft preparation, Lili Fan; writing—review and editing, Simin Ji and Peiyi Zhao.; supervision, Bin Jiang and Peiyi Zhao; project administration, Bin Jiang; funding acquisition, Bin Jiang All authors have read and agreed to the published version of the manuscript.

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Correspondence to Peiyi Zhao.

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Jiang, B., Ji, S., Zhao, P. et al. The recognition method for the fractal and the dynamic on the tool flank of a high-energy-efficiency milling cutter. Int J Adv Manuf Technol 127, 951–970 (2023). https://doi.org/10.1007/s00170-023-11516-9

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  • DOI: https://doi.org/10.1007/s00170-023-11516-9

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