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Study on the tool-chip friction coefficient of the bottom edge in high-speed internal cooling spiral milling hole

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Abstract  

The main focus of this work is the effect of the third body on the friction coefficient of the bottom edge tool chip in spiral milling with internal cooling at high speeds. The maximum pressure of the tool-chip contact and the tool-chip friction factor of the bottom edge are estimated by evaluating the helical milling principle and milling experiments. Moreover, the Hertz-Mindlin with bonding discrete element model (DEM) is established and corrected. According to the discrete element model and the morphology of the machined surface and the bottom edge, the friction coefficient of the bottom edge tool chip in high-speed internal cooling milling decreases with an increase in third bodies. The bottom edge’s friction coefficient is lowered by adding third-body particles. The third body increases with spindle speed but decreases with increased pitch. The research results provide a reference for studying tool-chip friction coefficient in high-speed internal cooling helical milling.

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References

  1. Shi M, Qin X, Li H, Shang S, Jin Y, Huang T (2020) Cutting force and chatter stability analysis for PKM-based helical milling operation. Int J Adv Manuf Technol 111:3207–24

    Article  Google Scholar 

  2. Su C, ChengCA X, Yan X, Zheng G, Li Y, Mu Z (2022) Helical milling for making holes on carbon fiber-reinforced polymer. Int J Adv Manuf Technol 121(7–8):5197–205

    Article  Google Scholar 

  3. Denkena B, Boehnke D, Dege JH (2008) Helical milling of CFRP–titanium layer compounds. CIRP J Manuf Sci Technol 1(2):64–9

    Article  Google Scholar 

  4. Akmal M, Ehsan Layegh KS, Lazoglu I, Akgün A, Yavas C (2017) Friction Coefficients on Surface Finish of AlTiN Coated Tools in the Milling of Ti6Al4V. Procedia CIRP 58:596–600

    Article  Google Scholar 

  5. Saito Y, Yamaguchi T, Itagaki R (2017) Effect of coefficient of friction at the sliding zone of chip-tool interface on chip curl diameter and secondary shear zone thickness during tapping process. J Adv Mech Des Syst Manuf 11(1):JAMDSM0007

    Article  Google Scholar 

  6. Wang H, Zhang T, Wang S, To S (2020) Characterization of the friction coefficient of aluminum alloy 6061 in ultra-precision machining. Metals 10(3):336

    Article  CAS  Google Scholar 

  7. Goryacheva I, Meshcheryakova A (2022) Modelling of third body effect on rolling contact fatigue damage. Mech Res Commun 123:103901

    Article  Google Scholar 

  8. Hu J, Yuan F, Liu X, Wei Y (2021) Effect of plasticity on nanoscale wear of third-body particles. Tribol Int 155:106739

    Article  Google Scholar 

  9. Han X, Yang J, Nong W (2020) Tribological Behavior of Copper and Graphite of Layered Friction Materials. Tribol Trans 63(5):906–912

    Article  CAS  Google Scholar 

  10. Yang S, Yang Y, Zhou L, Zhan R, Man Y (2022) Intermediate-layer Transferable Adversarial Attack with DNN Attention. IEEE Access 10:95451–95461

    Article  Google Scholar 

  11. Feng C, Wang Y, Chen W, Zhang L, Zhou K (2017) The Mechanical Mixed Layer and Its Role in Cu-15Ni-8Sn/Graphite Composites. Tribol Trans 60(1):135–145

    Article  CAS  Google Scholar 

  12. Wu S, Bi J, Li Z, Liao H, Wang C, Zheng L (2020) Feasibility study of oil-on-water cooling in high-speed end milling of hardened steel. Int J Adv Manuf Technol 107(1–2):271–92

    Article  Google Scholar 

  13. Nouari M, Iordanoff I (2007) Effect of the third-body particles on the tool-chip contact and tool-wear behaviour during dry cutting of aeronautical titanium alloys. Tribol Int 40(9):1351–9

    Article  CAS  Google Scholar 

  14. von Lautz J, Pastewka L, Gumbsch P, Moseler M (2016) Molecular Dynamic Simulation of Collision-Induced Third-Body Formation in Hydrogen-Free Diamond-Like Carbon Asperities. Tribol Lett 63(2):26

    Article  Google Scholar 

  15. Mogonye JE, Srivastava A, Gopagoni S, Banerjee R, Scharf TW (2016) Solid/Self-Lubrication Mechanisms of an Additively Manufactured Ni–Ti–C Metal Matrix Composite. Tribol Lett 64(3):1–12

    Article  CAS  Google Scholar 

  16. Renouf M, Cao H-P, Nhu V-H (2011) Multiphysical modeling of third-body rheology. Tribol Int 44(4):417–25

    Article  Google Scholar 

  17. Wang W, Liu X, Liu K, Xiong Q (2012) DEM Simulation on Tribological Behaviour of Third-Body Interface with Different Shear Elastic Modulus. Adv Compos Mater 482:1951–4

    Google Scholar 

  18. Yang W, Wang M, Zhou Z, Li L, Yang G, Ding R (2020) Research on the relationship between macroscopic and mesoscopic mechanical parameters of limestone based on Hertz Mindlin with bonding model. Geomech Geophys Geo-Energy Geo-Resour 6:1–15

    CAS  Google Scholar 

  19. Du M, Cheng Z, Wang S (2019) Finite element modeling of friction at the tool-chip-workpiece interface in high speed machining of Ti6Al4V. Int J Mech Sci 163:105100

    Article  Google Scholar 

  20. Mollon G (2022) The soft discrete element method. Granul Matter 24(1):11

    Article  Google Scholar 

  21. Yu AB (2004) Discrete element method: An effective way for particle scale research of particulate matter. Eng Comput 21(2–4):205–214

    Article  Google Scholar 

  22. Xiao S-Y, Su L-J, Jiang Y-J (2019) Numerical investigation on flexible barriers impacted by dry granular flows using DEM modeling. Chin J Geotech Eng 41(3):526–533

    Google Scholar 

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Funding

This study received financial support from the National Natural Science Foundation of China under Grant No. 51375099, 2022 Project of Guangdong Provincial Finance Department (Overseas famous teacher) under Grant No. K22322, and the scientific research start-up funds of Guangdong Ocean University under Grant No. E15168.

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Authors and Affiliations

  1. Guangdong Ocean University, Zhanjiang, 524088, China

    Jingyue Wu, Ningxia Yin, Liangliang Lv & Qingqun Mai

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  1. Jingyue Wu
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  2. Ningxia Yin
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  3. Liangliang Lv
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  4. Qingqun Mai
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Contributions

The study’s conception and design were performed by Jingyue Wu and Ningxia Yin. All authors contributed to material preparation, data collection, and analysis. The first draft of the manuscript was written by Jingyue Wu, and Ningxia Yin commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Ningxia Yin.

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Wu, J., Yin, N., Lv, L. et al. Study on the tool-chip friction coefficient of the bottom edge in high-speed internal cooling spiral milling hole. Int J Adv Manuf Technol 131, 369–380 (2024). https://doi.org/10.1007/s00170-024-13109-6

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  • DOI: https://doi.org/10.1007/s00170-024-13109-6

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