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Mechanism, cutting performance, and tool wear of MQL milling aluminum alloys with dual-nozzle

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Abstract

Although minimum quantity lubrication (MQL) machining offers excellent economic and environmental benefits, its application in actual production has been extremely restricted due to the lack of understanding of the oil mist penetration and lubrication mechanism. To reveal the oil mist penetration mechanism and process characteristics of the MQL milling process, the response surface methodology (RSM) was adopted to investigate the interaction of factors on the MQL cutting performance, optimize the process parameters, and establish the predictive models. Furthermore, the CFD simulation of the fluid field characteristics and negative pressure oil mist penetration tests were carried out to reveal the mechanism of oil mist penetration. Experimental results show that the interaction of factors has a different effect on response variables due to the various penetration capabilities, and compared with dry cutting, MQL reduced surface roughness by 34.58%, cutting temperature by 31.77%, cutting force by 21.26%, and tool wear by 60.34%. The results of CFD simulation and penetration experiments indicate that the penetration rate of oil mist is related to many factors, including the size and survival time of the capillary and the diameter and number of droplets. The findings of this work can provide valuable guidance for industry production and future investigations.

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Data availability

The datasets generated during the current study are available from the corresponding author on reasonable request.

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References

  1. Xu X, Lv T, Luan Z, Zhao Y, Wang M, Hu X (2019) Capillary penetration mechanism and oil mist concentration of Al2O3 nanoparticle fluids in electrostatic minimum quantity lubrication (EMQL) milling. Int J Adv Manuf Technol 104:1937–1951. https://doi.org/10.1007/s00170-019-04023-3

    Article  Google Scholar 

  2. Jeevan TP, Jayaram SR, Afzal A, Ashrith HS, Soudagar MEM, Mujtaba MA (2021) Machinability of AA6061 aluminum alloy and AISI 304L stainless steel using nonedible vegetable oils applied as minimum quantity lubrication. J Braz Soc Mech Sci Eng 43:159. https://doi.org/10.1007/s40430-021-02885-x

    Article  Google Scholar 

  3. Sarikaya M, Gupta MK, Tomaz I, Danish M, Mia M, Rubaiee S, Jamil M, Pimenov DY, Khanna N (2021) Cooling techniques to improve the machinability and sustainability of light-weight alloys: a state-of-the-art review. J Manuf Process 62:179–201. https://doi.org/10.1016/j.jmapro.2020.12.013

    Article  Google Scholar 

  4. Sankaranarayanan R, Rajesh Jesudoss Hynes N, Senthil Kumar J, Krolczyk GM (2021) A comprehensive review on research developments of vegetable-oil based cutting fluids for sustainable machining challenges. J Manuf Process 67:286–313. https://doi.org/10.1016/j.jmapro.2021.05.002

    Article  Google Scholar 

  5. Osman KA, Yılmaz V, Ünver HÖ, Şeker U, Kılıç SE (2020) Slot milling of titanium alloy with hexagonal boron nitride and minimum quantity lubrication and multi-objective process optimization for energy efficiency. J Clean Prod 258:120739. https://doi.org/10.1016/j.jclepro.2020.120739

    Article  Google Scholar 

  6. Chen J, Yu W, Zuo Z, Li Y, Chen D, An Q, Wang H, Chen M (2021) Tribological properties and tool wear in milling of in-situ TiB2/7075 Al composite under various cryogenic MQL conditions. Tribol Int 160:107021. https://doi.org/10.1016/j.triboint.2021.107021

    Article  Google Scholar 

  7. Sun H, Zou B, Chen P, Huang C, Guo G, Liu J, Li L, Shi Z (2022) Effect of MQL condition on cutting performance of high-speed machining of GH4099 with ceramic end mills. Tribol Int 167:107401. https://doi.org/10.1016/j.triboint.2021.107401

    Article  Google Scholar 

  8. XF Bai, J Jiang, CH Li, L Dong, HM Ali, S Sharma (2023) Tribological performance of different concentrations of Al2O3 nanofluids on minimum quantity lubrication milling. Chinese J Mech Eng 36. https://doi.org/10.1186/s10033-022-00830-0

  9. Race A, Zwierzak I, Secker J, Walsh J, Carrell J, Slatter T, Maurotto A (2021) Environmentally sustainable cooling strategies in milling of SA516: effects on surface integrity of dry, flood and MQL machining. J Clean Prod 288:125580. https://doi.org/10.1016/j.jclepro.2020.125580

    Article  Google Scholar 

  10. Shukla A, Kotwani A, Unune DR (2020) Performance comparison of dry, flood and vegetable oil based minimum quantity lubrication environments during CNC milling of aluminium 6061. Mater Today: Proceedings 21:1483–1488. https://doi.org/10.1016/j.matpr.2019.11.060

    Article  Google Scholar 

  11. Saha S, Deb S, Bandyopadhyay PP (2021) Progressive wear based tool failure analysis during dry and MQL assisted sustainable micro-milling. Int J Mech Sci 212:106844. https://doi.org/10.1016/j.ijmecsci.2021.106844

    Article  Google Scholar 

  12. An Q, Cai C, Zou F, Liang X, Chen M (2020) Tool wear and machined surface characteristics in side milling Ti6Al4V under dry and supercritical CO2 with MQL conditions. Tribol Int 151:106511. https://doi.org/10.1016/j.triboint.2020.106511

    Article  Google Scholar 

  13. Yücel A, Yıldırım ÇV, Sarıkaya M, Şirin Ş, Kıvak T, Gupta MK, Tomaz ÍV (2021) Influence of MoS2 based nanofluid-MQL on tribological and machining characteristics in turning of AA 2024 T3 aluminum alloy. J Market Res 15:1688–1704. https://doi.org/10.1016/j.jmrt.2021.09.007

    Article  Google Scholar 

  14. Salur E (2022) Understandings the tribological mechanism of Inconel 718 alloy machined under different cooling/lubrication conditions. Tribol Int 174:107677. https://doi.org/10.1016/j.triboint.2022.107677

    Article  Google Scholar 

  15. Duan Z, Li C, Ding W, Zhang Y, Yang M, Gao T, Cao H, Xu X, Wang D, Mao C, Li HN, Kumar GM, Said Z, Debnath S, Jamil M, Ali HM (2021) Milling force model for aviation aluminum alloy: academic insight and perspective analysis. Chinese J Mech Eng 34:1–35. https://doi.org/10.1186/s10033-021-00536-9

    Article  Google Scholar 

  16. Duan Z, Li C, Zhang Y, Dong L, Bai X, Yang M, Jia D, Li R, Cao H, Xu X (2021) Milling surface roughness for 7050 aluminum alloy cavity influenced by nozzle position of nanofluid minimum quantity lubrication. Chin J Aeronaut 34:33–53. https://doi.org/10.1016/j.cja.2020.04.029

    Article  Google Scholar 

  17. Korkmaz ME, Gupta MK, Boy M, Yaşar N, Krolczyk GM, Günay M (2021) Influence of duplex jets MQL and nano-MQL cooling system on machining performance of Nimonic 80A. J Manuf Process 69:112–124. https://doi.org/10.1016/j.jmapro.2021.07.039

    Article  Google Scholar 

  18. Chakravarthy VVK, Rajmohan T, Vijayan D, Palanikumar K (2021) Sustainable drilling of nano SiC reinforced Al matrix composites using MQL and cryogenic cooling for achieving the better surface integrity. Silicon 14:1787–1805. https://doi.org/10.1007/s12633-021-00977-w

    Article  Google Scholar 

  19. Gürbüz H, Emre Gönülaçar Y (2020) Optimization and evaluation of dry and minimum quantity lubricating methods on machinability of AISI 4140 using Taguchi design and ANOVA. Proc Inst Mech Eng C J Mech Eng Sci 235:1211–1227. https://doi.org/10.1177/0954406220939609

    Article  Google Scholar 

  20. Abas M, Sayd L, Akhtar R, Khalid QS, Khan AM, Pruncu CI (2020) Optimization of machining parameters of aluminum alloy 6026–T9 under MQL-assisted turning process. J Market Res 9:10916–10940. https://doi.org/10.1016/j.jmrt.2020.07.071

    Article  Google Scholar 

  21. Zaman PB, Dhar NR (2020) Multi-objective optimization of double-jet MQL system parameters meant for enhancing the turning performance of Ti–6Al–4V alloy. Arab J Sci Eng 45:9505–9526. https://doi.org/10.1007/s13369-020-04806-x

    Article  Google Scholar 

  22. Safiei W, Rahman MM, Yusoff AR, Arifin MN, Tasnim W (2021) Effects of SiO2-Al2O3-ZrO2 tri-hybrid nanofluids on surface roughness and cutting temperature in end milling process of aluminum alloy 6061–T6 using uncoated and coated cutting inserts with minimal quantity lubricant method. Arab J Sci Eng 46:7699–7718. https://doi.org/10.1007/s13369-021-05533-7

    Article  Google Scholar 

  23. Musavi SH, Davoodi B, Eskandari B (2020) Evaluation of surface roughness and optimization of cutting parameters in turning of AA2024 alloy under different cooling-lubrication conditions using RSM method. J Central South University 27:1714–1728. https://doi.org/10.1007/s11771-020-4402-2

    Article  Google Scholar 

  24. Saha S, Deb S, Bandyopadhyay PP (2023) Tool wear induced burr formation and concomitant reduction in MQL wetting capability in micro-milling. Int J Mech Sci 245:108095. https://doi.org/10.1016/j.ijmecsci.2022.108095

    Article  Google Scholar 

  25. Babu MN, Anandan V, Yıldırım ÇV, Babu MD, Sarıkaya M (2022) Investigation of the characteristic properties of graphene-based nanofluid and its effect on the turning performance of Hastelloy C276 alloy. Wear 510–511:204495. https://doi.org/10.1016/j.wear.2022.204495

    Article  Google Scholar 

  26. Ross NS, Ganesh M, Srinivasan D, Gupta MK, Korkmaz ME, Krolczyk JB (2022) Role of sustainable cooling/lubrication conditions in improving the tribological and machining characteristics of Monel-400 alloy. Tribol Int 176:107880. https://doi.org/10.1016/j.triboint.2022.107880

    Article  Google Scholar 

  27. Şirin Ş, Sarıkaya M, Yıldırım ÇV, Kıvak T (2021) Machinability performance of nickel alloy X-750 with SiAlON ceramic cutting tool under dry, MQL and hBN mixed nanofluid-MQL. Tribol Int 153:106673. https://doi.org/10.1016/j.triboint.2020.106673

    Article  Google Scholar 

  28. Wang Y, Zou B, Wang J, Wu Y, Huang C (2020) Effect of the progressive tool wear on surface topography and chip formation in micro-milling of Ti–6Al–4V using Ti(C7N3)-based cermet micro-mill. Tribol Int 141:105900. https://doi.org/10.1016/j.triboint.2019.105900

    Article  Google Scholar 

  29. Hadad M, Beigi M (2021) A novel approach to improve environmentally friendly machining processes using ultrasonic nozzle–minimum quantity lubrication system. Int J Adv Manuf Technol 114:741–756. https://doi.org/10.1007/s00170-021-06860-7

    Article  Google Scholar 

  30. Haq MAU, Hussain S, Ali MA, Farooq MU, Mufti NA, Pruncu CI, Wasim A (2021) Evaluating the effects of nano-fluids based MQL milling of IN718 associated to sustainable productions. J Clean Prod 310:127463. https://doi.org/10.1016/j.jclepro.2021.127463

    Article  Google Scholar 

  31. Zhu G, Yuan S, Kong X, Zhang C, Chen B (2020) Experimental observation of oil mist penetration ability in minimum quantity lubrication (MQL) spray. J Mech Sci Technol 34:3217–3225. https://doi.org/10.1007/s12206-020-0713-3

    Article  Google Scholar 

  32. Liu D, Li C, Dong L, Qin A, Zhang Y, Yang M, Gao T, Wang X, Liu M, Cui X, Ali HM, Sharma S (2022) Kinematics and improved surface roughness model in milling. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-022-10729-8

    Article  Google Scholar 

  33. DFJJoT Moore (1976) Principles and applications of tribology. 98:635–635. https://doi.org/10.1002/9781118403020.ch3

  34. Zhou T, Cui H, Wang Y, Yang W, He L (2023) Multi-physics analytical modeling of the primary shear zone and milling force prediction. J Mater Process Technol 316:117949. https://doi.org/10.1016/j.jmatprotec.2023.117949

    Article  Google Scholar 

  35. Pinheiro C, Kondo MY, Amaral SS, Callisaya ES, De Souza JVC, De Sampaio Alves MC, Ribeiro MV (2021) Effect of machining parameters on turning process of Inconel 718. Mater Manuf Process 36:1421–1437. https://doi.org/10.1080/10426914.2021.1914839

    Article  Google Scholar 

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Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 52275101), Science and Technological Innovation 2030—“New Generation Artificial Intelligence” Major Project of China (Grant No. 2021ZD0113100).

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All authors contributed to the study conception and design. The first draft of the manuscript was written by GQ and JY, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Guochao Qiao.

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Qiao, G., Yang, J., Zhen, D. et al. Mechanism, cutting performance, and tool wear of MQL milling aluminum alloys with dual-nozzle. Int J Adv Manuf Technol 131, 5845–5866 (2024). https://doi.org/10.1007/s00170-024-13373-6

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