Skip to main content

Advertisement

Log in

Effect of h-BN on the turning performance of high-strength vermicular graphite cast iron

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Hexagonal boron nitride (h-BN) is an excellent solid lubricant that can be used to improve the processability of difficult-to-cut materials. We tried to solve the processing difficulty of vermicular graphite cast iron (VGI) by adding 0.0144 wt% of h-BN micro-powders into VGI (tensile strength Rm ≥ 450 MPa). Then, we use coated cemented carbide tools (CCC tools, coatings TiC + Al2O3) to carry out the turning test on VGI. By analyzing the maximum wear maxVB of the flank face, the wear morphology characteristics of rake face, and the residue on rake face, the wear mechanisms of the tool are studied. Finally, the role of h-BN in the processing process is assumed and the Gray-Markov model of maxVB is modeled. It can be found that: when v = 100~200 m/min, the tool life of cutting VGI with h-BN (sample A) was twice that of cutting VGI without h-BN (sample B). In particular, when v = 200 m/min, the tool life of cutting sample A is as high as 8 min. It is shown that h-BN can make CCC tools have the same advantages as PCBN tools in cutting VGI. In cutting sample A, the wear mechanisms of rake face are abrasive wear, adhesive wear, and oxidation wear, and adhesive wear is the main cause of tool failure. Given the cutting speed, when t ≥ 2 min, the adhesive wear of the rake face in cutting sample A is slighter than that in cutting sample B. h-BN can effectively reduce the adhesive wear. The error of maxVB predicted by Gray-Markov model is Δ ≤ 1.25%, which can be used to analyze and predict the tool wear of VGI with h-BN.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Data availability

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

References

  1. Popov PI, Sizov IG (2006) Effect of alloying elements on the structure and properties of iron with vermicular graphite. Metal Heat Treat 48(5-6):272–275. https://doi.org/10.1007/s11041-006-0084-0

    Article  Google Scholar 

  2. Vale J, Cortz M, Bertolini V, Silva C, Pintaude G (2016) Comparison of scratch resistance of lamellar and compacted graphite irons used in cylinder liners. J Braz Soc Mech Eng 39(10):3981–3988. https://doi.org/10.1007/s40430-016-0690-8

    Article  Google Scholar 

  3. Holmgren D (2005) Review of thermal conductivity of cast iron. Int J Cast Met Res 18(6):331–345. https://doi.org/10.1179/136404605225023153

    Article  Google Scholar 

  4. Su R, Huang CZ, Xu LH, Zou B, Liu HL, Liu Y, Li CW (2019) Changes of cutting performance under different workpiece removal volume during normal speed and high speed milling of compacted graphite iron. Int J Adv Manuf Technol 100(9):2785–2794. https://doi.org/10.1007/s00170-018-2848-2

    Article  Google Scholar 

  5. Dawson S, Schroeder T (2004) Practical applications for compacted graphite iron. Transactions of the American Foundry Society & the One Hundredgth Annual Metalcasting Congress 1-9

  6. Chen M, Jiang L, Guo GQ, An QL (2011) Experimental and FEM study of coated and uncoated tools used for dry milling of compacted graphite cast iron. Trans Tianjin Univ 17(4):235–241. https://doi.org/10.1007/s12209-011-1609-1

    Article  Google Scholar 

  7. Danish M, Ginta TL, Abdul Rani AM (2019) Investigation of surface integrity induced on AZ31C magnesium alloy turned under cryogenic and dry conditions. Procedia Manuf 41:476–483. https://doi.org/10.1016/j.promfg.2019.09.035

    Article  Google Scholar 

  8. Aslantas K, Danish M, Hasçelik A, Mia M, Gupta M, Ginta T, Ijaz H (2020) Investigations on surface roughness and tool wear characteristics in micro-turning of Ti-6Al-4V alloy. Materials 13:2998. https://doi.org/10.3390/ma13132998

    Article  Google Scholar 

  9. Dias LR, Diniz AE (2013) Effect of the gray cast iron microstructure on milling tool life and cutting force. J Braz Soc Mech Sci Eng 35(1):17–29. https://doi.org/10.1007/s40430-013-0004-3

    Article  Google Scholar 

  10. Gastel M, Konetschny C, Reuter U, Fasel C, Schulz H, Riedel R, Ortner HM (2000) Investigation of the wear mechanism of cubic boron nitride tools used for the machining of compacted graphite iron and grey cast iron. Int J Refract Met Hard Mater 18(6):287–296. https://doi.org/10.1016/S0263-4368(00)00032-9

    Article  Google Scholar 

  11. Abele E, Sahm A, Schulz H (2002) Wear mechanism when machining compacted graphite iron. CIRP Ann 51(1):53–56. https://doi.org/10.1016/S0007-8506(07)61464-4

    Article  Google Scholar 

  12. Heck M, Ortner HM, Flege S, Reuter U, Ensinger W (2008) Analytical investigations concerning the wear behaviour of cutting tools used for the machining of compacted graphite iron and grey cast iron. Int J Refract Met Hard Mater 26(3):197–206. https://doi.org/10.1016/j.ijrmhm.2007.05.003

    Article  Google Scholar 

  13. Sílvia R, Diniz A, Andrade C, Wilson G (2010) Analysis of tool wear, surface roughness and cutting power in the turning process of compact graphite irons with different titanium content. J Braz Soc Mech Sci Eng 32(3):234–240. https://doi.org/10.1016/j.wear.2010.11.030

    Article  Google Scholar 

  14. Abdoos M, Rawal S, Arif A, Veldhuis M (2020) A strategy to improve tool life by controlling cohesive failure in thick TiAlN coating during turning of CGI. Int J Adv Manuf Technol 106(7):2793–2803. https://doi.org/10.1007/s00170-019-04854-0

    Article  Google Scholar 

  15. Guo Y, Mann JB, Yeung H, Chandrasekar S (2012) Enhancing tool life in high-speed machining of compacted graphite iron (CGI) using controlled modulation. Tribol Lett 47(1):103–111. https://doi.org/10.1007/s11249-012-9966-z

    Article  Google Scholar 

  16. Alves S, Schroeter R, Bossardi J (2011) Influence of EP additive on tool wear in drilling of compacted graphite iron. J Braz Soc Mech Sci Eng 33(2):197–202. https://doi.org/10.1590/S1678-58782011000200011

    Article  Google Scholar 

  17. Mohammed W, Ng E, Elbestawi M (2012) Modeling the effect of compacted graphite iron microstructure on cutting forces and tool wear. CIRP J Manuf Sci Technol 5(5):87–101. https://doi.org/10.1016/j.cirpj.2012.03.002

    Article  Google Scholar 

  18. Silva M, Naves V, Melo J, Andrade C, Guesser W (2011) Analysis of wear of cemented carbide cutting tools during milling operation of gray iron and compacted graphite iron. Wear 271(9):2426–2432. https://doi.org/10.1016/j.wear.2010.11.030

    Article  Google Scholar 

  19. Wang CY, Lin HS, Wang X, Zheng LJ, Xiong WQ (2017) Effect of different oil-on-water cooling conditions on tool wear in turning of compacted graphite cast iron. J Clean Prod:477–489. https://doi.org/10.1016/j.jclepro.2017.02.014

  20. Tanaka R, Yamane Y, Sekiya K (2007) Machinability of BN free-machining steel in turning. Int J Mach Tool Manu 47(12):1971–1977. https://doi.org/10.1016/j.ijmachtools.2007.02.003

    Article  Google Scholar 

  21. Tanaka R, Hosokawa A, Furumoto T, Ueda T (2013) Wear characteristics of ceramic tools when turning BN free-machining steel. J Adv Mech Des Syst Manuf 7(7):474–484. https://doi.org/10.1299/jamdsm.7.474

    Article  Google Scholar 

  22. Malakizadi A, Ghasemi R, Behring C et al (2018) Effects of workpiece microstructure, mechanical properties and machining conditions on tool wear when milling compacted graphite iron. Wear:190–201. https://doi.org/10.1016/j.wear.2018.07.005

  23. Gastel M, Reuter U, Schulz H, Ortner H (1999) SIMS Analysis of the wear of boron nitride tools, for the machining of compacted graphite iron and grey cast iron. Fresenius J Anal Chem 365(1-3):142–146. https://doi.org/10.1007/s002160051460

    Article  Google Scholar 

  24. Abdoos M, Yamamoto K, Bose B, Rabinovicha G, Veldhuisa S (2019) Effect of coating thickness on the tool wear performance of low stress TiAlN PVD coating during turning of compacted graphite iron (CGI). Wear:128–136. https://doi.org/10.1016/j.wear.2019.01.062

  25. Su R, Huang CZ, Zou B, Liu GL, Liu ZQ, Liu Y, Li CW (2018) Study on cutting burr and tool failure during high-speed milling of compacted graphite iron by the coated carbide tool. Int J Adv Manuf Technol 98(1):201–211. https://doi.org/10.1007/s00170-017-1573-6

    Article  Google Scholar 

  26. Feng Y, Wang R, Yu K (2007) Analyses of frictional wear mechanics of Ni-Cr/BN self-lubricating composites. Rare Metal Mater Eng 36(10):1820–1182. https://doi.org/10.1243/14644207JMDA159

    Article  Google Scholar 

  27. Jiang BY, Liu SM, Wang RC, Luo FH (2009) Effect of BN on mechanical and tribological properties of BN/Ni (Cr) self-lubricating composites. Mater Sci Eng Powder Metall 14(1):57–62

    Article  Google Scholar 

  28. Namane Y, Tanaka R, Sekiya K, Narutakl N, Shiraga T (2000) Machinability of BN added steels (2nd Report): influence of chemical compositions of work materials and cutting tools on machinability. J Jpn Soc Precis Eng 66(2):229–233. https://doi.org/10.2493/jjspe.66.229

    Article  Google Scholar 

  29. Li SJ, Ma XP, Yang CY (2018) A novel structure-adaptive intelligent grey forecasting model with full-order time power terms and its application. Comput Ind Eng 120:53–67. https://doi.org/10.1016/j.cie.2018.04.016

    Article  Google Scholar 

  30. Lin Y, Lee P, Chang T (2009) Adaptive and high-precision grey forecasting model. Expert Syst Appl 36(6):9658–9662. https://doi.org/10.1016/j.eswa.2008.12.009

    Article  Google Scholar 

  31. Kara F, Çiçek A, Demir H (2013) Multiple regression and ANN models for surface quality of cryogenically-treated AISI 52100 bearing steel. J Balkan Tribol Assoc 19:570–584

    Google Scholar 

  32. Kara F (2018) Optimization of surface roughness in finish milling of AISI P20+S plastic-mold steel. Mater Tehnol 52:195–200. https://doi.org/10.17222/mit.2017.088

    Article  Google Scholar 

  33. Kara F, Takmaz A (2019) Optimization of cryogenic treatment effects on the surface roughness of cutting tools. Mater Test 61:1101–1104. https://doi.org/10.3139/120.111427

    Article  Google Scholar 

  34. Edem I, Oke SA, Adebiyi KA (2018) A novel grey–fuzzy–Markov and pattern recognition model for industrial accident forecasting. J Ind Eng Int 14(3):455–489. https://doi.org/10.1007/s40092-017-0236-4

    Article  Google Scholar 

Download references

Funding

This research was supported by the Natural Science Foundation of Guangxi Province under Grant No. 2020JJA160030 and the Major Scientific and Technical Project of Guangxi Province under Grant No. 2020AA09001AA.

Author information

Authors and Affiliations

Authors

Contributions

Yongchuan Lin: Conceptualization, funding acquisition, resources, project administration, writing - original draft, and supervision

Yufeng Zhou: Methodology, test, data curation, formal analysis, investigation, and editing

Quanxin Ji: Test, data curation, formal analysis, investigation, and editing

Jianyou Huang: Conceptualization, methodology, test, formal analysis, investigation, project administration, supervision, writing-original draft, and writing - reviewing and editing

Debin Lai: Test and writing - reviewing and editing

Shengjian He: Test and writing - reviewing and editing

Nengyi Zhu: Test and writing - reviewing and editing

Corresponding author

Correspondence to Jianyou Huang.

Ethics declarations

Ethical approval

This chapter does not contain any studies with human participants or animals performed by any of the authors.

Consent to participate

Not applicable.

Consent to publish

All authors have read and agreed to the published version of the manuscript.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lin, Y., Zhou, Y., Ji, Q. et al. Effect of h-BN on the turning performance of high-strength vermicular graphite cast iron. Int J Adv Manuf Technol 113, 1929–1941 (2021). https://doi.org/10.1007/s00170-021-06750-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-021-06750-y

Keywords

Navigation