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Research on drilling performance and tool life improvement methods of titanium alloy ultra-high-speed drilling bits

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Abstract

Titanium alloy materials have been increasingly applied in the field of 3C products. Manufacturers in the production process of 3C products relentlessly pursue high production efficiency, resulting in extremely aggressive selection of process parameters. Extreme machining conditions such as high spindle speed and large feed speed inevitably lead to severe tool wear, making tool cost difficult to control. Therefore, this paper focuses on researching methods to improve the drilling performance and tool life of titanium alloy ultra-high-speed drilling bits, in order to achieve low-cost manufacturing of titanium alloy ultra-high-speed drilling. Firstly, the failure modes and wear mechanisms of drilling bits under ultra-high-speed drilling conditions for titanium alloy materials are analyzed. Secondly, a drilling bit simulation model is established and calibrated through drilling experiments. Then, using the response surface method, design simulation experiments to reveal the influence of geometric parameters on drilling performance and optimize the drilling bit. Finally, based on the optimization results, drilling bits are prepared and drilling performance and tool life experiments are conducted. A comparison with unoptimized bits shows that the optimized drilling bits have significant improvements in drilling performance and tool life.

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References

  1. Liu G, Zhang D, Yao C (2023) Investigation of the grain refinement mechanism in machining Ti-6Al-4V: Experiments and simulations[J]. J Manuf Process 94:479–496. https://doi.org/10.1016/j.jmapro.2023.03.077

    Article  Google Scholar 

  2. He B, Qian S, Li T (2023) Modeling product carbon footprint for manufacturing process[J]. J Clean Prod 402:136805. https://doi.org/10.1016/j.jclepro.2023.136805

    Article  Google Scholar 

  3. Sorgato M, Bertolini R, Ghiotti A, Bruschi S (2023) Tool wear assessment when drilling AISI H13 tool steel multilayered claddings[J]. Wear 524–525:204853. https://doi.org/10.1016/j.wear.2023.204853

    Article  Google Scholar 

  4. Maruda R, Szczotkarz N, Michalski M, Arkusz K, Wojciechowski S, Niesłony P, Khanna N, Królczyk G (2023) Evaluation of tool wear during turning of Ti6Al4V alloy applying MQL technique with Cu nanoparticles diversified in terms of size[J]. Wear 532–533:205111. https://doi.org/10.1016/j.wear.2023.205111

    Article  Google Scholar 

  5. He B, Wu J, Xiao J (2023) Product safety risk assessment approach to sustainable design[J]. Int J Precis Eng Manuf-Green Technol 10:783–788. https://doi.org/10.1007/s40684-022-00490-4

    Article  Google Scholar 

  6. Qinglong A, Yang J, Li J, Liu G, Chen M, Li C (2024) A state-of-the-art review on the intelligent tool holders in machining[J]. Intell Sustain Manuf 1(1):10002. https://doi.org/10.35534/ism.2024.10002

    Article  Google Scholar 

  7. Oliaei S, Karpat Y, Davim J, Perveen A (2018) Micro tool design and fabrication: a review[J]. J Manuf Process 36:496–519. https://doi.org/10.1016/j.jmapro.2018.10.038

    Article  Google Scholar 

  8. Yaşar N, Günay M (2019) Experimental investigation on novel drilling strategy of CFRP laminates using variable feed rate[J]. J Braz Soc Mech Sci Eng 41:150. https://doi.org/10.1007/s40430-019-1658-2

    Article  Google Scholar 

  9. Kubher S, Gururaja S, Zitoune R (2022) Coupled thermo-mechanical modeling of drilling of multi-directional polymer matrix composite laminates[J]. Compos A Appl Sci Manuf 156:106802. https://doi.org/10.1016/j.compositesa.2022.106802

    Article  Google Scholar 

  10. Huang X, Jiang F, Wang Z, Wu X, Huang S, Liu Y, Zhang J, Shi X (2023) A review on the balancing design of micro drills[J]. Int J Adv Manuf Technol 126:4849–4871. https://doi.org/10.1007/s00170-023-11496-w

    Article  Google Scholar 

  11. Pivkin P, Grechishnikov V, Ershov A, Grigoriev S (2021) A new method definition of cutting surface of drills by image processing flank surface[J]. SPIE Future Sens Technol 14:1191413. https://doi.org/10.1117/12.2605834

    Article  Google Scholar 

  12. Liang Z, Guo H, Wang X, Ma Y, Zhou T, Sun X, Jiang L (2020) Influence of chisel edge axial rake angle on the drilling performance of helical point micro-drill[J]. Int J Adv Manuf Technol 107:2137–2149. https://doi.org/10.1007/s00170-020-05180-6

    Article  Google Scholar 

  13. Xu J, Geier N, Shen J, Krishnaraj V, Samsudeensadham S (2023) A review on CFRP drilling: fundamental mechanisms, damage issues, and approaches toward high-quality drilling[J]. J Market Res 24:9677–9707. https://doi.org/10.1016/j.jmrt.2023.05.023

    Article  Google Scholar 

  14. Sadeghifar M, Javidikia M, Songmene V, Jahazi M (2020) Finite element simulation-based predictive regression modeling and optimum solution for grain size in machining of Ti6Al4V alloy: influence of tool geometry and cutting conditions[J]. Simul Model Pract Theory 104:102141. https://doi.org/10.1016/j.simpat.2020.102141

    Article  Google Scholar 

  15. Yang H, Jiang F, Wu X, Zhao G, Shi X, Liu G, Wang M (2023) Optimizing the cutting edge geometry of micro drill based on the entropy weight method[J]. Int J Adv Manuf Technol 125:2673–2689. https://doi.org/10.1007/s00170-023-10884-6

    Article  Google Scholar 

  16. Pedroso A, Sousa V, Sebbe N, Silva F, Campilho R, Sales-Contini R, Jesus A (2023) A Comprehensive review on the conventional and non-conventional machining and tool-wear mechanisms of INCONEL. Metals 13(3):585. https://doi.org/10.3390/met13030585

    Article  Google Scholar 

  17. Zhu Z, Guo K, Sun J, Li J, Liu Y, Zheng Y, Chen L (2018) Evaluation of novel tool geometries in dry drilling aluminium 2024–T351/titanium Ti6Al4V stack[J]. J Mater Process Technol 259:270–281. https://doi.org/10.1016/j.jmatprotec.2018.04.044

    Article  Google Scholar 

  18. Jia Z, Bai Y, Wang F, Wang F, Ma J, Cheng D, Zhang Z (2019) Effect of drill flute direction on delamination at the exit in drilling carbon fiber reinforced plastic[J]. Polym Compos 40(S2):1434–1440. https://doi.org/10.1002/pc.25040

    Article  Google Scholar 

  19. Sui S, Song G, Sun C, Zhu Z, Guo K, Sun J (2020) Experimental investigation on the performance of novel double cone integrated tool in one-shot drilling of metal stacks[J]. Int J Adv Manuf Technol 109:523–534. https://doi.org/10.1007/s00170-020-05474-9

    Article  Google Scholar 

  20. Hajdu D, Astarloa A, Kovacs I, Dombovari Z (2023) The curved uncut chip thickness model: a general geometric model for mechanistic cutting force predictions[J]. Int J Mach Tools Manuf 188:104019. https://doi.org/10.1016/j.ijmachtools.2023.104019

    Article  Google Scholar 

  21. Atif M, Wang X, Xie L, Sun T, Giasin K, Ma Y (2024) Influence of cutting tool design on ultrasonic-assisted drilling of fiber metal laminates[J]. Int J Adv Manuf Technol 131:6039–6059. https://doi.org/10.1007/s00170-024-13128-3

    Article  Google Scholar 

  22. Hasan M, Zhao J, Jiang Z (2017) A review of modern advancements in micro drilling techniques[J]. J Manuf Process 29:343–375. https://doi.org/10.1016/j.jmapro.2017.08.006

    Article  Google Scholar 

  23. Liu H, Xu X, Zhang J, Liu Z, He Y, Zhao W, Liu Z (2022) The state of the art for numerical simulations of the effect of the microstructure and its evolution in the metal-cutting processes[J]. Int J Mach Tools Manuf 177:0890–6955. https://doi.org/10.1016/j.ijmachtools.2022.103890

    Article  Google Scholar 

  24. Arunkumar N, Ganesh M, Rajaram M, Kumar E (2023) Deep hole drilling of AISI 1045: effect on hole quality & tool wear under flood, emulsion, and mist cooling technique[J]. J Braz Soc Mech Sci Eng 45:195. https://doi.org/10.1007/s40430-023-04123-y

    Article  Google Scholar 

  25. Chenegrin K, Roux J, Helfenstein-Didier C, Pouvreau C, Girinon M, Karaouni H, Bergheau J, Feulvarch E (2021) 3D numerical simulation of heat transfer during dry drilling of Inconel 718[J]. J Manuf Process 64:1143–1152. https://doi.org/10.1016/j.jmapro.2021.02.041

    Article  Google Scholar 

  26. Lv C, Wang G, Chen H (2021) Inverse determination of thermal boundary condition and temperature distribution of workpiece during drilling process[J]. Measurement 171:108822. https://doi.org/10.1016/j.measurement.2020.108822

    Article  Google Scholar 

  27. Zhang L, Wang G, Xu X, Xuan S, Fan X, Kan Y, Yao X (2023) Thermal–mechanical coupling numerical simulation and low damage analysis for drilling composite[J]. Compos Struct 324:117542. https://doi.org/10.1016/j.compstruct.2023.117542

    Article  Google Scholar 

  28. Liang Z, Ma Y, Zhang S, Wang X, Chen J, Jiang L, Sun X, Li Y (2021) Novel micro-deep-hole drill with variable web thickness and flute width[J]. Precis Eng 72:340–355. https://doi.org/10.1016/j.precisioneng.2021.05.008

    Article  Google Scholar 

  29. Biermann D, Amuth R, Hess S, Tiffe M (2018) Simulation based analysis and optimisation of the cutting edge micro shape for machining of nickel-base alloys[J]. Procedia CIRP 67:284–289. https://doi.org/10.1016/j.procir.2017.12.214

    Article  Google Scholar 

  30. Siregar I, Saedon J, Adenan M, Azmi M, Harun A (2019) Design, develop and simulate microdrilling cutting tool[J]. IOP Conf Ser: Mater Sci Eng 505(1):012094. https://doi.org/10.1088/1757-899X/505/1/012094

    Article  Google Scholar 

  31. Liu H, Rodrigues L, Meurer M, Bergs T (2023) A three-dimensional analytical model for transient tool temperature in cutting processes considering convection[J]. CIRP J Manuf Sci Technol 43:1–14. https://doi.org/10.1016/j.cirpj.2023.02.003

    Article  Google Scholar 

  32. Zhu Z, Sun X, Guo K, Sun J, Li J (2022) Recent advances in drilling tool temperature: a state-of-the-art review[J]. Chinese J Mech Eng 35:148. https://doi.org/10.1186/s10033-022-00818-w

    Article  Google Scholar 

  33. Tekaüt İ (2023) Investigation of the microstructure, machinability and hole quality of AISI 1045 steel forged at different temperatures[J]. Proc Inst Mech Eng Part E: J Proc Mech Eng 237(5):1866–1877. https://doi.org/10.1177/09544089221138537

    Article  Google Scholar 

  34. Zou F, Chen J, An Q, Cai X, Chen M (2020) Influences of clearance angle and point angle on drilling performance of 2D Cf/SiC composites using polycrystalline diamond tools[J]. Ceram Int 46(4):4371–4380. https://doi.org/10.1016/j.ceramint.2019.10.161

    Article  Google Scholar 

  35. Ficici F (2023) Investigation of wear mechanism in drilling of PPA composites for automotive industry[J]. J Eng Res 11(2):100034. https://doi.org/10.1016/j.jer.2023.100034

    Article  Google Scholar 

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Funding

This study is co-supported by the National Natural Science Foundation of China (52305446), the Project of Changzhou Basic Research Program (No. CJ20235067), the general project of basic science (natural science) research in colleges and universities of Jiangsu Province (No. 22KJB460014), and the Open Project of the Key Laboratory of High Performance Manufacturing for Aero Engine (Northwestern Polytechnical University) (No. HPM-2022–01).

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Authors and Affiliations

  1. Department of Aeronautics and Mechanical Engineering, Changzhou Institute of Technology, Changzhou, 213032, People’s Republic of China

    Xi Chen, Qi Wang, Hun Guo & Yafeng He

  2. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, People’s Republic of China

    Qi Wang, Qinglong An & Ming Chen

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  1. Xi Chen
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  2. Qi Wang
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Contributions

All authors contributed to the study’s conception and design. Qi Wang wrote the paper and carried out the experiments, Xi Chen provided data analysis, Qinglong An designed the framework of the paper, Ming Chen contributed to the main idea of the paper, Hun Guo provided the experimental condition, and Yafeng He helped with the experiments. All authors read and approved the final manuscript.

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Correspondence to Qi Wang.

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Chen, X., Wang, Q., An, Q. et al. Research on drilling performance and tool life improvement methods of titanium alloy ultra-high-speed drilling bits. Int J Adv Manuf Technol (2024). https://doi.org/10.1007/s00170-024-13756-9

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