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Theoretical and experimental investigations of tool wear in ultrasonic vibration–assisted turning of 304 austenitic stainless steel

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Abstract

The 304 austenitic stainless steel is used in a wide range of important industries such as industrial, food, medical, and furniture decoration, seeming the most widely used chromium-nickel stainless steel, but which machinability proves very poor, being a typical difficult cutting material. The tool wear phenomenon is very serious in the process of cutting and is not easy to acquire the splendid machining quality. For this reason, the ultrasonic vibration is introduced into turning to realize ultrasonic vibration-assisted turning (UAT) to solve the above problems in this study. This paper first proves that the ultrasonic vibration has a certain inhibitory effect on the tool wear by theoretical and simulation methods. Then, the influence of technological parameters on the tool wear is studied by experiments. The results show that there is an optimal range of the ultrasonic amplitude and the cutting speed for the UAT, and which has a significant inhibitory effect on the tool wear when the technological parameters are selected properly. The tool wear of conventional turning (CT) is more serious under the same technological parameters. In addition to the abrasive wear and the adhesive wear, the deformation and the collapse also occur, accompanied by obvious sticking substances, which reduce the service life of the cutting tool greatly and has a certain impact on the machining efficiency and the cost. Furthermore, the UAT can also achieve better-machined surface quality under the condition of technological parameters with the less tool wear.

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References

  1. Kumar AS, Durai AR, Sornakumar T (2006) The effect of tool wear on tool life of alumina-based ceramic cutting tools while machining hardened martensitic stainless steel. J Mater Process Technol 173(2):151–156. https://doi.org/10.1016/j.jmatprotec.2005.11.012

    Article  Google Scholar 

  2. Zhang GQ, To S, Zhang SJ (2016) Evaluation for tool flank wear and its influences on surface roughness in ultra-precision raster fly cutting. Int J Mech Sci 118:125–134. https://doi.org/10.1016/j.ijmecsci.2016.09.013

    Article  Google Scholar 

  3. Magalhães LC, Carlesso GC, Lacalle LNL, Souza MT, Palheta FO, Binder C (2022) Tool wear effect on surface integrity in AISI 1045 steel dry turning. Materials 15(6):2031. https://doi.org/10.3390/ma15062031

    Article  Google Scholar 

  4. Xavior MA, Adithan M (2009) Determining the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 austenitic stainless steel. J Mater Process Technol 209(2):900–909. https://doi.org/10.1016/j.jmatprotec.2008.02.068

    Article  Google Scholar 

  5. Ostasevicius V, Gaidys R, Rimkeviciene J, Dauksevicius R (2010) An approach based on tool mode control for surface roughness reduction in high-frequency vibration cutting. J Sound Vib 329(23):4866–4879. https://doi.org/10.1016/j.jsv.2010.05.028

    Article  Google Scholar 

  6. Abhang L, Hameedullah M (2014) Parametric investigation of turning process on en-31 steel. Procedia Mater Sci 6:1516–1523. https://doi.org/10.1016/j.mspro.2014.07.132

    Article  Google Scholar 

  7. Patil S, Joshi S, Tewari A, Joshi SS (2014) Modelling and simulation of effect of ultrasonic vibrations on machining of Ti6Al4V. Ultrasonics 54(2):694–705. https://doi.org/10.1016/j.ultras.2013.09.010

    Article  Google Scholar 

  8. Xu YS, Wan ZH, Zou P, Huang WL, Zhang GQ (2021) Experimental study on cutting force in ultrasonic vibration-assisted turning of 304 austenitic stainless steel. Proc IMechE Part B: J Eng Manufac 235(3):494–513. https://doi.org/10.1177/0954405420957127

    Article  Google Scholar 

  9. Xiao M, Wang QM, Sato K, Karube S, Soutome T, Xu H (2006) The effect of tool geometry on regenerative instability in ultrasonic vibration cutting. Int J Mach Tools Manuf 46(5):492–499. https://doi.org/10.1016/j.ijmachtools.2005.07.002

    Article  Google Scholar 

  10. Nath C, Rahman M (2008) Effect of machining parameters in ultrasonic vibration cutting. Int J Mach Tools Manuf 48(9):965–974. https://doi.org/10.1016/j.ijmachtools.2008.01.013

    Article  Google Scholar 

  11. Maeng S, Ito H, Kakinuma Y, Min S (2022) Study on cutting force and tool wear in machining of die materials with textured PCD tools under ultrasonic elliptical vibration. Int J Precis Eng Manuf - Green Tech 10(1):35–44. https://doi.org/10.1007/s40684-022-00416-0

    Article  Google Scholar 

  12. Chen ZM, Feng PF, Wang JJ, Feng F, Zha HT (2022) Understanding the abnormal effects of ultrasonic vibration on tool wear and surface generation in Zr-based bulk metallic glass cutting. CIRP J Manuf Sci Technol 39:1–17. https://doi.org/10.1016/j.cirpj.2022.07.004

    Article  Google Scholar 

  13. Huo DH, Cheng K (2019) Vibration assisted machining. Proc IMechE Part C: J Mechanical Eng Sci 233(12):4079–4080. https://doi.org/10.1177/0954406219854227

    Article  Google Scholar 

  14. Xu YS, Gao F, Zou P, Zhang QJ, Fan FL (2020) Theoretical and experimental investigations of surface roughness, surface topography, and chip shape in ultrasonic vibration-assisted turning of Inconel 718. J Mech Sci Technol 34(9):3791–3806. https://doi.org/10.1007/s12206-020-0830-x

    Article  Google Scholar 

  15. Zhou M, Ngoi BKA, Yusoff MN, Wang XJ (2006) Tool wear and surface finish in diamond cutting of optical glass. J Mater Process Technol 174(1-3):29–33. https://doi.org/10.1016/j.jmatprotec.2005.02.248

    Article  Google Scholar 

  16. Zhang YL, Zhou ZM, Wang JL, Li XY (2013) Diamond tool wear in precision turning of titanium alloy. Mater Manuf Process 28(10):1061–1064. https://doi.org/10.1080/10426914.2013.773018

    Article  Google Scholar 

  17. Lotfi M, Amini S, Aghaei M (2018) 3D FEM simulation of tool wear in ultrasonic assisted rotary turning. Ultrasonics 88:106–114. https://doi.org/10.1016/j.ultras.2018.03.013

    Article  Google Scholar 

  18. Lotfi M, Amini S, Aghaei M (2018) Tool wear modeling in rotary turning modified by ultrasonic vibration. Simul Model Pract Th 87:226–238. https://doi.org/10.1016/j.simpat.2018.07.007

    Article  Google Scholar 

  19. Lotfi M, Amini S, Aghaei M (2018) Tool wear prediction and surface improvement in vibration cutting. Tribol T 61(3):414–423. https://doi.org/10.1080/10402004.2017.1339840

    Article  Google Scholar 

  20. Farahnakian M, Keshavarz ME, Elhami S, Razfar MR (2019) Effect of cutting edge modification on the tool flank wear in ultrasonically assisted turning of hardened steel. Proc IMechE Part B: J Eng Manuf 233(5):1472–1482. https://doi.org/10.1177/0954405416640416

    Article  Google Scholar 

  21. Kandi R, Sahoo SK, Sahoo AK (2020) Ultrasonic vibration-assisted turning of Titanium alloy Ti-6Al-4V: numerical and experimental investigations. J Braz Soc Mech Sci Eng 42:399. https://doi.org/10.1007/s40430-020-02481-5

    Article  Google Scholar 

  22. Deswal N, Kant R (2022) Experimental investigation on magnesium AZ31B alloy during ultrasonic vibration assisted turning process. Mater Manuf Process 37(15):1708–1714. https://doi.org/10.1080/10426914.2022.2039701

    Article  Google Scholar 

  23. Goncalves M, Franca TV, Fortulan CA, da Silva RHL, Foschini CR (2022) Green ceramic machining benefits through ultrasonic-assisted turning: an experimental investigation. Int J Adv Manuf Technol 118(9-10):3091–3104. https://doi.org/10.1007/s00170-021-08174-0

    Article  Google Scholar 

  24. Nayak SK, Patro JK, Dewangan S, Gangopadhyay S (2014) Multi-objective optimization of machining parameters during dry turning of AISI 304 austenitic stainless steel using grey relational analysis. Procedia Mater Sci 6:701–708. https://doi.org/10.1016/j.mspro.2014.07.086

    Article  Google Scholar 

  25. Diniz AE, Machado AR, Correa JG (2016) Tool wear mechanisms in the machining of steels and stainless steels. Int J Adv Manuf Technol 87(9-12):3157–3168. https://doi.org/10.1007/s00170-016-8704-3

    Article  Google Scholar 

  26. Correa JG, Schroeter RB, Machado AR (2017) Tool life and wear mechanism analysis of carbide tools used in the machining of martensitic and supermartensitic stainless steels. Tribol Int 105:102–117. https://doi.org/10.1016/j.triboint.2016.09.035

    Article  Google Scholar 

  27. Vivekananda K, Arka GN, Sahoo SK (2014) Finite element analysis and process parameters optimization of ultrasonic vibration assisted turning (UVT). Procedia Mater Sci 6:1906–1914. https://doi.org/10.1016/j.mspro.2014.07.223

    Article  Google Scholar 

  28. Vivekananda K, Arka GN, Sahoo SK (2014) Design and analysis of ultrasonic vibratory tool (UVT) using FEM, and experimental study on ultrasonic vibration-assisted turning (UAT). Procedia Eng 97:1178–1186. https://doi.org/10.1016/j.proeng.2014.12.396

    Article  Google Scholar 

  29. Lotfi M, Amini S (2018) Effect of ultrasonic vibration on frictional behavior of tool-chip interface: Finite element analysis and experimental study. Proc IMechE Part B: J Eng Manuf 232(7):1212–1220. https://doi.org/10.1177/0954408918812271

    Article  Google Scholar 

  30. Lotfi M, Amini S, Ashrafi H (2019) Theoretical and numerical modeling of tool-chip friction in ultrasonic-assisted turning. Proc IMechE Part E: J Proc Mechanical Eng 233(4):824–838. https://doi.org/10.1177/0954408918812271

    Article  Google Scholar 

  31. Usman MM, Zou P, Yang ZY, Lin TY, Muhammad I (2022) Evaluation of micro-textured tool performance in ultrasonic elliptical vibration-assisted turning of 304 stainless steel. Int J Adv Manuf Technol 121(7-8):4403–4418. https://doi.org/10.1007/s00170-022-09539-9

    Article  Google Scholar 

  32. Babitsky VI, Mitrofanov AV, Silberschmidt VV (2004) Ultrasonically assisted turning of aviation materials: simulations and experimental study. Ultrasonics 42(1-9):81–86. https://doi.org/10.1016/j.ultras.2004.02.001

    Article  Google Scholar 

  33. Zou L, Huang Y, Zhou M, Duan L (2017) Investigation on diamond tool wear in ultrasonic vibration-assisted turning die steels. Mater Manuf Process 32(13):1505–1511. https://doi.org/10.1080/10426914.2017.1291958

    Article  Google Scholar 

  34. San HJ, Zhang YX, Chen MF, Wu H (2018) Research on an ultrasonic cutting device based on 0Cr18Ni9. Shock Vib 2018:2515239. https://doi.org/10.1155/2018/2515239

    Article  Google Scholar 

  35. Xu J, Feng PF, Feng F, Zha HT, Liang GQ (2021) Subsurface damage and burr improvements of aramid fiber reinforced plastics by using longitudinal-torsional ultrasonic vibration milling. J Mater Process Technol 297:117265. https://doi.org/10.1016/j.jmatprotec.2021.117265

    Article  Google Scholar 

  36. Yan LT, Zhang XR, Li HY, Zhang QJ (2022) Machinability improvement in three-dimensional (3D) ultrasonic vibration assisted diamond wire sawing of SiC. Ceram Int 48(6):8051–8068. https://doi.org/10.1016/j.ceramint.2021.12.006

    Article  Google Scholar 

  37. Lotfi M, Amini S, Sajjady SA (2019) Development of a friction model based on oblique cutting theory. Int J Mech Sci 160:241–254. https://doi.org/10.1016/j.ijmecsci.2019.06.038

    Article  Google Scholar 

  38. Xu YS, Wan ZH, Zou P, Zhang QJ (2019) Experimental study on chip shape in ultrasonic vibration-assisted turning of 304 austenitic stainless steel. Adv Mech Eng 11(8):1–17. https://doi.org/10.1177/1687814019870896

    Article  Google Scholar 

  39. Shaw MC, Vyas A (1998) The mechanism of chip formation with hard turning steel. CIRP Annals - Manuf Technol 47(1):77–82. https://doi.org/10.1016/S0007-8506(07)62789-9

    Article  Google Scholar 

  40. Kaynak Y, Karaca HE, Noebe RD, Jawahir IS (2013) Tool-wear analysis in cryogenic machining of NiTi shape memory alloys: A comparison of tool-wear performance with dry and MQL machining. Wear 306(1-2):51–63. https://doi.org/10.1016/j.wear.2013.05.011

    Article  Google Scholar 

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Funding

This study was supported by Jiangxi Provincial Natural Science Foundation, China (Nos. 20212BAB204001 and 20202BAB204021); the Science and Technology Research Project of Jiangxi Provincial Education Department, China (No. GJJ2200724); the National Natural Science Foundation of China (No. 52065003); and the Experimental Technology Research and Development Project of East China University of Technology (No. DHSY-202211).

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Authors and Affiliations

  1. School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, 330013, China

    Yingshuai Xu, Jie Zhang, Shufeng Huang, Yihan Wu & Jing He

  2. School of Mechanical Electrical Engineering, Beijing Information Science & Technology University, Beijing, 100192, China

    Qinjian Zhang

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  1. Yingshuai Xu
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Xu, Y., Zhang, J., Zhang, Q. et al. Theoretical and experimental investigations of tool wear in ultrasonic vibration–assisted turning of 304 austenitic stainless steel. Int J Adv Manuf Technol 127, 3157–3181 (2023). https://doi.org/10.1007/s00170-023-11686-6

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