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Study of 40Cr surface modification grinding force and temperature based on microstructure evolution mechanism

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Abstract

Aiming to improve the dynamic and static contact performance of 40Cr alloy parts, a grind-strengthening (GS) compound process is applied to the finish machining and surface quenching heat treatment of 40Cr alloy steel, which makes the material undergo a modification behavior of dynamic phase transformation introduced by high grinding heat and severe plastic deformation (SPD). The microstructure evolutions of material during the GS process comprise dynamic recrystallization (DRX) and phase transformation. The flow property of material can be critically affected by microstructure transformations during the GS process, which has a significant impact on the grinding force and temperature. A modified Johnson–Cook (J-C) constitutive equation considering grain size was established in this study. The flow stress can be calculated by the model during machining and the grinding force can be predicted. Moreover, the grinding temperature can be calculated by an analytical model according to the predicted grinding force. In addition, the grind-strengthening experiment was conducted. The applicability of the modified J–C model can be verified. The results show that the grinding forces obtained by the modified J–C model are more accurate. Furthermore, by comparing the prediction of temperature field distribution and the gradient microstructure introduced by dynamic phase transformation of the ground strengthening layer, the prediction of grinding temperature based on the analytical method is consistent with the experiment results. And the creation mechanism of grind-strengthening layer can be revealed profoundly.

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References

  1. Sun C, Hong Y, Xiu S, Yao Y (2021) Grain refinement mechanism of metamorphic layers by abrasive grinding hardening. J Manuf Process 69:125–141. https://doi.org/10.1016/j.jmapro.2021.07.040

    Article  Google Scholar 

  2. Wang Y, Deng Y, Xiu S (2018) Study on the dynamic recrystallization mechanism during pre-stress dry grinding. J Manuf Process 32:100–109. https://doi.org/10.1016/j.jmapro.2018.01.021

    Article  Google Scholar 

  3. Imbrogno S, Rinaldi S, Umbrello D et al (2018) A physically based constitutive model for predicting the surface integrity in machining of Waspaloy. Mater Des 152:140–155. https://doi.org/10.1016/j.matdes.2018.04.069

    Article  Google Scholar 

  4. Sun C, Xiu SC, Li QL et al (2021) Mechanism of surface creation for dynamic and static feature end grinding of associated systems. Surf Technol 50:35–43

    Google Scholar 

  5. Dang J, Zhang H, An Q et al (2021) Surface integrity and wear behavior of 300M steel subjected to ultrasonic surface rolling process. Surf Coat Technol. https://doi.org/10.1016/j.surfcoat.2021.127380

    Article  Google Scholar 

  6. Brockhoff T, Brinksmeier E (1999) Grind-hardening: a comprehensive view. CIRP Ann Manuf Technol 48:255–260. https://doi.org/10.1016/S0007-8506(07)63178-3

    Article  Google Scholar 

  7. Zarudi I, Zhang LC (2002) Modelling the structure changes in quenchable steel subjected to grinding. J Mater Sci 37:4333–4341. https://doi.org/10.1023/A:1020652519141

    Article  Google Scholar 

  8. Zarudi I, Zhang LC (2002) Mechanical property improvement of quenchable steel by grinding. J Mater Sci 37:3935–3943. https://doi.org/10.1023/A:1019671926384

    Article  Google Scholar 

  9. Chen L, Sun W, Lin J et al (2019) Modelling of constitutive relationship, dynamic recrystallization and grain size of 40Cr steel during hot deformation process. Res Phys 12:784–792. https://doi.org/10.1016/j.rinp.2018.12.046

    Article  Google Scholar 

  10. Duan C, Zhang F, Qin S et al (2018) Modeling of dynamic recrystallization in white layer in dry hard cutting by finite element—cellular automaton method. J Mech Sci Technol 32:4299–4312. https://doi.org/10.1007/s12206-018-0828-y

    Article  Google Scholar 

  11. Ding H, Shin YC (2012) A metallo-thermomechanically coupled analysis of orthogonal cutting of AISI 1045 steel. J Manuf Sci E T ASME. https://doi.org/10.1115/1.4007464

    Article  Google Scholar 

  12. Shen N, Ding H (2014) Physics-based microstructure simulation for drilled hole surface in hardened steel. J Manuf Sci E T ASME 136:1–5. https://doi.org/10.1115/1.4027732

    Article  Google Scholar 

  13. Ahmad E, Karim F, Saeed K et al (2014) Effect of cold rolling and annealing on the grain refinement of low alloy steel. IOP Conf Ser Mater Sci Eng. https://doi.org/10.1088/1757-899X/60/1/012029

    Article  Google Scholar 

  14. Junior AMJ, Guedes LH, Balancin O (2012) Ultra grain refinement during the simulated thermomechanical-processing of low carbon steel. J Market Res 1:141–147. https://doi.org/10.1016/s2238-7854(12)70025-x

    Article  Google Scholar 

  15. Dang J, Zhang H, An Q et al (2021) Surface modification of ultrahigh strength 300M steel under supercritical carbon dioxide (scCO2)-assisted grinding process. J Manuf Process 61:1–14. https://doi.org/10.1016/j.jmapro.2020.11.001

    Article  Google Scholar 

  16. Raof NA, Ghani JA, Haron CHC (2019) Machining-induced grain refinement of AISI 4340 alloy steel under dry and cryogenic conditions. J Market Res 8:4347–4353. https://doi.org/10.1016/j.jmrt.2019.07.045

    Article  Google Scholar 

  17. Ding H, Shin YC (2012) Dislocation density-based modeling of subsurface grain refinement with laser-induced shock compression. Comput Mater Sci 53:79–88. https://doi.org/10.1016/j.commatsci.2011.08.038

    Article  Google Scholar 

  18. Xu Y, Gong Y, Zhang W, et al (2022) Effect of grinding conditions on the friction and wear performance of Ni-based singlecrystal superalloy. Arch Civ Mech Eng 22:102. https://doi.org/10.1007/s43452-022-00423-7

  19. Tsuji N, Maki T (2009) Enhanced structural refinement by combining phase transformation and plastic deformation in steels. Scripta Mater 60:1044–1049. https://doi.org/10.1016/j.scriptamat.2009.02.028

    Article  Google Scholar 

  20. Zhang F, Duan C, Sun W, Ju K (2019) Effects of cutting conditions on the microstructure and residual stress of white and dark layers in cutting hardened steel. J Mater Process Technol 266:599–611. https://doi.org/10.1016/j.jmatprotec.2018.11.038

    Article  Google Scholar 

  21. Pan Z, Shih DS, Tabei A et al (2017) Modeling of Ti-6Al-4V machining force considering material microstructure evolution. Int J Adv Manuf Technol 91:2673–2680. https://doi.org/10.1007/s00170-016-9964-7

    Article  Google Scholar 

  22. Pan Z, Tabei A, Shih DS et al (2018) The effects of dynamic evolution of microstructure on machining forces. Proc Inst Mech Eng Part B J Eng Manuf 232:2677–2681. https://doi.org/10.1177/0954405417703430

    Article  Google Scholar 

  23. Zhang XP, Shivpuri R, Srivastava AK (2014) Role of phase transformation in chip segmentation during high speed machining of dual phase titanium alloys. J Mater Process Technol 214:3048–3066. https://doi.org/10.1016/j.jmatprotec.2014.07.007

    Article  Google Scholar 

  24. Ding Z, Sun G, Jiang X et al (2019) Predictive modeling of microgrinding force incorporating phase transformation effects. J Manuf Sci E T ASME. https://doi.org/10.1115/1.4043839

    Article  Google Scholar 

  25. Yao Y, Xiu S, Sun C et al (2021) Investigation on grinding-induced dynamic recrystallization behavior of 40Cr alloy steel. J Alloy Compd 867:158773. https://doi.org/10.1016/j.jallcom.2021.158773

    Article  Google Scholar 

  26. Manjunathaiah J, Endres WJ (2000) A new model and analysis of orthogonal machining with an edge-radiused tool. J Manuf Sci E T ASME 122:384–390. https://doi.org/10.1115/1.1285886

    Article  Google Scholar 

  27. Wu BB, Wang XL, Wang ZQ et al (2019) New insights from crystallography into the effect of refining prior austenite grain size on transformation phenomenon and consequent mechanical properties of ultra-high strength low alloy steel. Mater Sci Eng A 745:126–136. https://doi.org/10.1016/j.msea.2018.12.057

    Article  Google Scholar 

  28. Hidalgo J, Santofimia MJ (2016) Effect of prior austenite grain size refinement by thermal cycling on the microstructural features of as-quenched lath martensite. Metall Mater Trans A 47:5288–5301. https://doi.org/10.1007/s11661-016-3525-4

    Article  Google Scholar 

  29. Hodgson P, Gibbs R (1992) A mathematical model to predict the mechanical properties of hot rolled C-Mn and microalloyed steels. ISIJ Int 32:1329–1338

    Article  Google Scholar 

  30. Johnston TL, Feltner CE (1970) Grain size effects in the strain hardening of polycrystals. Metall Mater Trans 1:1161–1167. https://doi.org/10.1007/BF02900226

    Article  Google Scholar 

  31. Gao T, Li C, Yang M et al (2021) Mechanics analysis and predictive force models for the single-diamond grain grinding of carbon fiber reinforced polymers using CNT nano-lubricant. J Mater Process Technol. https://doi.org/10.1016/j.jmatprotec.2020.116976

    Article  Google Scholar 

  32. Shao Y, Li B, Chiang KN, Liang SY (2015) Physics-based analysis of minimum quantity lubrication grinding. Int J Adv Manuf Technol 79:1659–1670. https://doi.org/10.1007/s00170-015-6941-5

    Article  Google Scholar 

  33. Smithey DW, Kapoor SG, DeVor RE (2001) A new mechanistic model for predicting worn tool cutting forces. Mach Sci Technol 5:23–42. https://doi.org/10.1081/MST-100103176

    Article  Google Scholar 

  34. Younis MA, Alawi H (1984) Probabilistic analysis of the surface grinding process. Trans Can Soc Mech Eng 8:208–213. https://doi.org/10.1139/tcsme-1984-0031

    Article  Google Scholar 

  35. Ramanath S, Shaw MC (1988) Abrasive grain temperature at the beginning of a cut in fine grinding. J Manuf Sci E T ASME 110:15–18. https://doi.org/10.1115/1.3187835

    Article  Google Scholar 

  36. Foeckerer T, Zaeh MF, Zhang OB (2013) A three-dimensional analytical model to predict the thermo-metallurgical effects within the surface layer during grinding and grind-hardening. Int J Heat Mass Transf 56:223–237. https://doi.org/10.1016/j.ijheatmasstransfer.2012.09.029

    Article  Google Scholar 

  37. Des Ruisseaux NR, Zerkle RD (1970) Thermal analysis of the grinding process. J Eng Ind 92:428–433. https://doi.org/10.1115/1.3427768

  38. Galindo-Nava EI, Rainforth WM, Rivera-Díaz-del-Castillo PEJ (2016) Predicting microstructure and strength of maraging steels: elemental optimisation. Acta Mater 117:270–285. https://doi.org/10.1016/j.actamat.2016.07.020

    Article  Google Scholar 

  39. Gholizadeh R, Shibata A, Tsuji N (2020) Grain refinement mechanisms in BCC ferritic steel and FCC austenitic steel highly deformed under different temperatures and strain rates. Mater Sci Eng A 790:139708. https://doi.org/10.1016/j.msea.2020.139708

    Article  Google Scholar 

Download references

Funding

This study is supported by the National Natural Science Foundation of China (No. 52175383 and No.52105433) and the Postdoctoral Foundation of Northeastern University (20200326).

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Authors and Affiliations

  1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, China

    Yunlong Yao, Cong Sun, Shichao Xiu, Yuan Hong, Zhuangzhuang Hou & Xiannan Zou

Authors
  1. Yunlong Yao
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  2. Cong Sun
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  3. Shichao Xiu
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  4. Yuan Hong
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  5. Zhuangzhuang Hou
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  6. Xiannan Zou
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Contributions

The establishment and calculation of the theoretical model are completed by Yunlong Yao and Cong Sun. The design and conduct of the experiments were completed by Yunlong Yao, Yuan Hong, and Zhuangzhuang Hou. The processing and analysis of the experimental data are completed by Yunlong Yao and Xiannan Zou. Yunlong Yao wrote the original draft and Shichao Xiu supervised the project and reviewed and edited the article.

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Correspondence to Shichao Xiu.

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Yao, Y., Sun, C., Xiu, S. et al. Study of 40Cr surface modification grinding force and temperature based on microstructure evolution mechanism. Int J Adv Manuf Technol 123, 2043–2056 (2022). https://doi.org/10.1007/s00170-022-10270-8

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