Skip to main content
SpringerLink
Log in

Research on the friction and wear characteristics of V-groove unidirectional convergent gradient texture on carbide tool surface

  • Metals & corrosion
  • Published:
Journal of Materials Science Aims and scope Submit manuscript

Abstract

The reverse fluid model of V-groove texture was established by SOLIDWORKS. The textures of bionic arrangement and symmetrical arrangement and 3°, 5°, 7° and 9° texture gradients were simulated by FLUENT finite element. Femtosecond laser processing technology is used to scan the V-shaped texture to the surface of YT15 cemented carbide workpiece, and ensure its occupancy is about 10%. The tribological properties of tool rake face are evaluated by friction and wear experiments and cutting experiments. By comparison, it is found that the hydrodynamic lubrication effect of the bionic V-shaped texture at the gradient of 7° is the most ideal. Compared with the non-textured surface, the friction coefficient is reduced by about 20%, and the wear rate is reduced to 0.005–0.015. And the fluid flow rate is fast, which has better drag reduction and wear resistance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Figure 18
Figure 19
Figure 20
Figure 21
Figure 22
Figure 23
Figure 24
Figure 25
Figure 26
Figure 27
Figure 28
Figure 29

Similar content being viewed by others

References

  1. Zhang YH (2009) Study on improving lubrication properties of UHMWPE by surface texture. In: D. Nanjing university of Aeronautics Astronautics

  2. Bhushan B (2007) Introduction to tribology. In: M. Beijing: Mechanical Industry Press

  3. Hou QM, Yang XF, Wang SR et al (2020) Bionic texture type and its influence on surface friction performance. J China Surf Eng 33(03):18–32

    Google Scholar 

  4. Liu X, Liu Y, Li L et al (2019) Performances of micro-textured WC-10Ni3Al cemented carbides cutting tool in turning of Ti-6Al-4V. Int J Refract Metals Hard Mater 84:104987. https://doi.org/10.1016/j.ijrmhm.2019.104987

    Article  CAS  Google Scholar 

  5. Chimata GP, Schwartz CJ (2017) Tactile discrimination of randomly textured surfaces: effect of friction and surface parameters. J Biotribology 11:102–109. https://doi.org/10.1016/j.biotri.2017.01.004

    Article  Google Scholar 

  6. Zheng XH, Song H, Zhang Q et al (2017) Research progress on the effect of laser surface texture on tribological properties of materials. J Mater Rep 31(17):68–74

    Google Scholar 

  7. Zhang N, Yang FZ, Liu XC et al (2018) Analysis of laser processing technology of surface texture. J Tools Technol 52(11):3–6

    Google Scholar 

  8. Zhang YY, Jiao YL, Li CZ et al (2020) Bioinspired micro/nanostructured surfaces prepared by femtosecond laser direct writing for multi-functional applications. J Int J Extreme Manuf 2(3):45–65. https://doi.org/10.1088/2631-7990/ab95f6

    Article  CAS  Google Scholar 

  9. Fu YH, Xiao KL, Hua XJ et al (2013) Cutting test and performance analysis of surface micro groove turning tool. J China Surf Eng 26(6):106–111

    CAS  Google Scholar 

  10. Liu XM, Zhao DC, Chen L et al (2019) Development and application prospect of bionic tribology. J Chinese J Constr Mach 17(02):95–101

    CAS  Google Scholar 

  11. Dowson D, Neville A (2006) Bio-tribology and bio-mimetics in the operating environment. J Proc Inst Mech Eng Part J J Eng Tribology 220(3):109–123. https://doi.org/10.1243/13506501jet156

    Article  Google Scholar 

  12. Guo ZW, Yuan CQ, Liu AX et al (2017) Study on tribological properties of novel bio mimetic material for water-lubricated stern tube bearing. J Wear 376–377:911–919. https://doi.org/10.1016/j.wear.2017.01.081

    Article  CAS  Google Scholar 

  13. Lv YJ, Fang CY, Xing ZG et al (2021) Research progress in design. J Process Appl Bionic Texture Patterns 50(02):112–122

    Google Scholar 

  14. Huang QP, Shi XL, Xue YW et al (2021) Optimization of bionic textured parameter to improve the tribological performance of AISI 4140 self-lubricating composite through response surface methodology. J Tribology Int 161:107104. https://doi.org/10.1016/j.triboint.2021.107104

    Article  CAS  Google Scholar 

  15. Ren W (2021) Study on milling performance optimization of V-groove micro-texture ball end mill. In: D. Harbin university of science and technology

  16. Qiu M, Delic A, Raeymaekers B (2012) The effect of texture shape on the load-carrying capacity of gas-lubricated parallel slider bearings. J Tribology Lett 48(3):315–327. https://doi.org/10.1007/s11249-012-0027-4

    Article  Google Scholar 

  17. Huang QP, Shi XL, Ma J (2021) Tribological behavior of surface bionic rhombic-textured M50 steel containing SnAgCu and MXene-Nb2C under dry sliding conditions. J Mater Eng Perform 30:9390–9402. https://doi.org/10.1007/s11665-021-06126-z

    Article  CAS  Google Scholar 

  18. Atwal JC, Pandey RK (2020) Performance analysis of thrust pad bearing using micro-rectangular pocket and bionic texture. Proc Inst Mech Eng Part J J Eng Tribology 235(6):232–1250. https://doi.org/10.1177/1350650120940076

    Article  Google Scholar 

  19. Qian FC (2013) Numerical study on drag reduction performance of bionic fish scale pits. In: D. Dalian university of technology

  20. Niu JD (2018) Study on Bionic design of gradient microwoven turning tool based on bamboo and mouse incised teeth. In: D. Southwest jiaotong university

  21. Li M (2015)Tribological Properties of PDMS surface composite gradient protrusion array. In: D. Nanjing University of Aeronautics and Astronautics

  22. Deng WW (2018) Study on surface gradient structure and fatigue resistance of TC4 titanium alloy induced by laser shock wave. In: D. Jiangsu University

  23. Ye YX, Liu YF, Du TT et al (2019) Experimental study on laser rapid machining gradient wettability surface. J Chin Laser 46(10):97–104

    Google Scholar 

  24. Duan M, Luo L, Liu Y (2020) Microstructural evolution of AZ31 Mg alloy with surface mechanical attrition treatment: grain and texture gradient. J Alloys Compd 823:153691. https://doi.org/10.1016/j.jallcom.2020.153691

    Article  CAS  Google Scholar 

  25. Liu D, Liu DX, Zhang XH et al (2020) An investigation of fretting fatigue behavior and mechanism in 17–4PH stainless steel with gradient structure produced by an ultrasonic surface rolling process. Int J Fatigue 131:105340. https://doi.org/10.1016/j.ijfatigue.2019.105340

    Article  CAS  Google Scholar 

  26. Soheil S, Heinz-Günter B, Norbert S (2019) Texture gradient in a rectangular extruded Al60Mg40 metal matrix composite. Metals 9(2):121. https://doi.org/10.3390/met9020167

    Article  CAS  Google Scholar 

  27. Zheng L, Wu JJ, Zhang S et al (2016) Bionic coupling of hardness gradient to surface texture for improved anti-wear properties. J Bionic Eng 13(3):406–415. https://doi.org/10.1016/s1672-6529(16)60313-x

    Article  Google Scholar 

  28. Chen JS, Wu Z (2022) Effect of textured dimples on the tribological behavior of wc/co cemented carbide in dry sliding with Al2O3/WC ceramic. Micromachines 13(8):1269. https://doi.org/10.3390/mi13081269

    Article  Google Scholar 

  29. Bei GY, Ma C, Wang XL et al (2022) Study on tribological characteristics of textured surface under convergent oil film gap. Lubricants 10(8):183. https://doi.org/10.3390/lubricants10080183

    Article  Google Scholar 

  30. Bei YY, Ma CB, Wang XL et al (2022) Research on cavitation effect of microtextured array. Sci Rep 12:13455. https://doi.org/10.1038/s41598-022-17258-0

    Article  CAS  Google Scholar 

Download references

Acknowledgements

National Natural Science Foundation of China (51872122), Natural Science Foundation of Shandong Province (ZR2022ME041), Project of Shandong Province Higher Educational Youth Innovation Science and Technology Program (2019KJB021), Shandong Provincial Central Leading Local Science and Technology Development Fund Project (YDZX2022003) and Taishan Scholars and Youth Innovation in Science & Technology Support Plan of Shandong Province University.

Funding

The National Natural Science Foundation of China, 51575234, Xuefeng Yang, 51872122, Xuefeng Yang, Postdoctoral Science Foundation of China, 2017M620286, Xuefeng Yang, Key Research and Development Program of Shandong Province, China, 2018CXGC0809, Xuefeng Yang, Major basic research projects of Shandong Natural Science Foundation, ZR2020ZD06, Xuefeng Yang, Project of Shandong Province Higher Educational Youth Innovation Science and Technology Program, 2019KJB021, Xuefeng Yang. The National Natural Science Foundation of China, 51872122, Xuefeng Yang, Natural Science Foundation of Shandong Province, ZR2022ME041, Xuefeng Yang, Project of Shandong Province Higher Educational Youth Innovation Science and Technology Program, 2019KJB021, Xuefeng Yang, Shandong Provincial Central Leading Local Science and Technology Development Fund Project, YDZX2022003, Xuefeng Yang.

Author information

Authors and Affiliations

  1. School of Mechanical Engineering, University of Jinan, Jinan, 250022, China

    Hui Yang, Xuefeng Yang, Qimin Hou, Keyang Chen, Yalong Gao, Yifeng Zhang & Guojie Lv

Authors
  1. Hui Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xuefeng Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qimin Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Keyang Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yalong Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yifeng Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Guojie Lv
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xuefeng Yang.

Additional information

Handling Editor: David Cann.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, H., Yang, X., Hou, Q. et al. Research on the friction and wear characteristics of V-groove unidirectional convergent gradient texture on carbide tool surface. J Mater Sci 57, 21709–21730 (2022). https://doi.org/10.1007/s10853-022-07946-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10853-022-07946-7

Search

Navigation