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Tool path selection for high-speed ball-end milling process of hardened AISI D2 steel based on fatigue resistance

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Abstract

This paper aims at revealing how tool paths influence the fatigue resistance of high-speed ball-end hard milled surfaces and proposing corresponding tool path selection methods. Three kinds of tool paths (tool paths A, B, and C with angles relative to the length direction of cuboid workpiece 0°, 90°, and 45°, respectively) were utilized during high-speed milling process of hardened AISI D2 steel. The fatigue resistance of samples for different tool paths was evaluated through three-point bending fatigue tests. Results shows that tool paths have significant effect on fatigue resistance, and the maximum discrepancy in fatigue life can reach about 37.6% for different tool paths. Samples for tool path C shows the longest fatigue life when radial depth of cut ae = 0.1 mm. However, with the further increase of ae, samples for tool path A have the best fatigue resistance, followed by tool path C and B. Microscopic stress concentration and effective residual stress are the main ways by which tool paths influence the fatigue resistance. Changing tool paths leads to the difference in surface topography orientation and then in degree of microscopic stress concentration. Moreover, the effective residual stress (residual stress component in direction parallel to cyclic tensile stress) is also directly determined by tool paths. Tool path selection methods are put forward based on the aforementioned influence mechanisms. This study indicates that improving the fatigue resistance of high-speed ball-end hard milled surfaces suffering given cyclic tensile stress is feasible by choosing appropriate tool paths.

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References

  1. Azhiri RB, Bideskan AS, Javidpour F, Tekiyeh RM (2019) Study on material removal rate, surface quality, and residual stress of AISI D2 tool steel in electrical discharge machining in presence of ultrasonic vibration effect. Int J Adv Manuf Technol 101(9):2849–2860

    Article  Google Scholar 

  2. Singh V, Bhandari R, Yadav VK (2017) An experimental investigation on machining parameters of AISI D2 steel using WEDM. Int J Adv Manuf Technol 93(1):203–214

    Article  Google Scholar 

  3. Hioki D, Diniz AE, Sinatora A (2013) Influence of HSM cutting parameters on the surface integrity characteristics of hardened AISI H13 steel. J Braz Soc Mech Sci 35(4):537–553

    Article  Google Scholar 

  4. Kara F, Karabatak M, Ayyildiz M, Nas E (2020) Effect of machinability, microstructure and hardness of deep cryogenic treatment in hard turning of AISI D2 steel with ceramic cutting. J Mater Res Technol 9(1):969–983

    Article  Google Scholar 

  5. Kara F, Takmaz A (2019) Optimization of cryogenic treatment effects on the surface roughness of cutting tools. Mater Test 61(11):1101–1104

    Article  Google Scholar 

  6. Masuda K, Oguma N, Ishihara S, McEvily AJ (2020) Investigation of subsurface fatigue crack growth behavior of D2 tool steel (JIS SKD11) based on a novel measurement method. Int J Fatigue 133

  7. Laamouri A, Ghanem F, Braham C, Sidhom H (2019) Influences of up-milling and down-milling on surface integrity and fatigue strength of X160CrMoV12 steel. Int J Adv Manuf Technol 105(1–4):1209–1228

    Article  Google Scholar 

  8. Li W, Guo Y, Guo C (2013) Superior surface integrity by sustainable dry hard milling and impact on fatigue. CIRP Ann-Manuf Tech 62(1):567–570

    Article  Google Scholar 

  9. Sasahara H (2005) The effect on fatigue life of residual stress and surface hardness resulting from different cutting conditions of 0.45% C steel. Int J Mach Tool Manu 45(2):131–136

    Article  Google Scholar 

  10. Choi Y (2015) Influence of feed rate on surface integrity and fatigue performance of machined surfaces. Int J Fatigue 78:46–52

    Article  Google Scholar 

  11. Sharman A, Aspinwall DK, Dewes RC, Clifton D, Bowen P (2001) The effects of machined workpiece surface integrity on the fatigue life of γ-titanium aluminide. Int J Mach Tool Manu 41(11):1681–1685

    Article  Google Scholar 

  12. Ghanem F, Sidhom H, Braham C, Fitzpatrick ME (2002) Effect of near-surface residual stress and microstructure modification from machining on the fatigue endurance of a tool steel. J Mater Eng Perform 11(6):631–639

    Article  Google Scholar 

  13. Yue C, Gao H, Liu X, Liang S (2018) Part functionality alterations induced by changes of surface integrity in metal milling process: a review. Appl Sci 8(12):2550

    Article  Google Scholar 

  14. Wang X, Huang C, Zou B, Liu G, Zhu H, Wang J (2018) Experimental study of surface integrity and fatigue life in the face milling of Inconel 718. Front Mech Eng 13(2):243–250

    Article  Google Scholar 

  15. Yang D, Liu Z, Xiao X, Xie F (2018) The effects of machining induced surface topography on fatigue performance of titanium alloy Ti-6Al-4V. Procedia CIRP 71:27–30

    Article  Google Scholar 

  16. Neuber H (1958) Kerbspannungslehre. Germany, Berlin

    Book  Google Scholar 

  17. Arola D, Ramulu M (1999) An examination of the effects from surface texture on the strength of fiber-reinforced plastics. J Compos Mater 33(2):101–186

    Article  Google Scholar 

  18. Arola D, Williams CL (2002) Estimating the fatigue stress concentration factor of machined surfaces. Int J Fatigue 24(9):923–930

    Article  Google Scholar 

  19. Suraratchai M, Limido J, Mabru C, Chieragatti R (2008) Modelling the influence of machined surface roughness on the fatigue life of aluminium alloy. Int J Fatigue 30(12):2119–2126

    Article  Google Scholar 

  20. Chen X, Zhao J, Zhang W (2015) Influence of milling modes and tool postures on the milled surface for multi-axis finish ball-end milling. Int J Adv Manuf Technol 77(9–12):2035–2050

    Article  Google Scholar 

  21. Huang W, Zhao J, Wang S (2019) Necessity of multidimensional evaluation of the high-speed ball-end milled surface of hardened AISI D2 steel from a wear resistance perspective. Int J Adv Manuf Technol 103(9–12):4085–4093

    Article  Google Scholar 

Download references

Funding

This work was supported by the University Qingchuang Science and Technology Plan of Shandong (2019KJB015) and the Key Technology Research and Development Program of Shandong Province (2018GGX103043) in China.

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Authors and Affiliations

  1. College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, People’s Republic Of China

    Weimin Huang, Tong Yang & Chunjian Su

  2. School of Mechanical and Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, People’s Republic Of China

    Peirong Zhang

  3. Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE, School of Mechanical Engineering, Shandong University, Jinan, 250061, People’s Republic Of China

    Jun Zhao

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  1. Weimin Huang
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  2. Peirong Zhang
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  3. Tong Yang
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  5. Chunjian Su
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Correspondence to Tong Yang or Jun Zhao.

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Huang, W., Zhang, P., Yang, T. et al. Tool path selection for high-speed ball-end milling process of hardened AISI D2 steel based on fatigue resistance. Int J Adv Manuf Technol 110, 2239–2247 (2020). https://doi.org/10.1007/s00170-020-06024-z

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  • DOI: https://doi.org/10.1007/s00170-020-06024-z

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