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Research on optimization of milling performance of V-groove micro-texture ball-end milling cutter

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Abstract

Titanium alloys generally have problems such as sticking, large cutting force, and poor heat dissipation during the cutting process., research shows that processing microtextures on the surface of the tool can effectively improve the above problems. Therefore, this paper designs the V-groove micro-textures based on the principle of bionics. Use simulation software to analyze the milling behavior of different V-groove micro-texture ball-end milling cutters for milling titanium alloys. Build a test platform to study the milling performance of the V-groove micro-texture ball-end milling cutter for milling titanium alloys, obtain the prior choice range of V-groove micro-texture parameters, optimize the parameters based on the simulated annealing algorithm and conduct experimental verification. The results of the optimal tool parameters are that the opening angle of the V-groove micro-textures is 79°, the V-groove micro-texture spacing is 170 µm, and the V-groove micro-texture width is 30 µm, the distance from blade of the V-groove micro-textures is 90 µm.

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Acknowledgments

This work was funded by the National Natural Science Foundation of China (Micro-texture preparation of cemented carbide ball end milling tool and its dynamic evolution of milling behavior [51875144]), China.

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Authors and Affiliations

  1. School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, 150080, China

    Shucai Yang, Chaoyang Guo & Wei Ren

Authors
  1. Shucai Yang
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  2. Chaoyang Guo
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  3. Wei Ren
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Corresponding author

Correspondence to Shucai Yang.

Additional information

Shucai Yang is a Professor of the School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, China. He received his Ph.D. in Mechanical Engineering from Harbin University of Science and Technology. His research interests include mesoscopic geometry of tools, chip breaking mechanism and metal cutting.

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Yang, S., Guo, C. & Ren, W. Research on optimization of milling performance of V-groove micro-texture ball-end milling cutter. J Mech Sci Technol 36, 2849–2860 (2022). https://doi.org/10.1007/s12206-022-0517-8

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  • DOI: https://doi.org/10.1007/s12206-022-0517-8

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