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Hardening effect on machined surface for precise hard cutting process with consideration of tool wear

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Abstract

During hard cutting process there is severe thermodynamic coupling effect between cutting tool and workpiece, which causes quenching effect on finished surfaces under certain conditions. However, material phase transformation mechanism of heat treatment in cutting process is different from the one in traditional process, which leads to changes of the formation mechanism of damaged layer on machined workpiece surface. This paper researches on the generation mechanism of damaged layer on machined surface in the process of PCBN tool hard cutting hardened steel Cr12MoV. Rules of temperature change on machined surface and subsurface are got by means of finite element simulation. In phase transformation temperature experiments rapid transformation instrument is employed, and the effect of quenching under cutting conditions on generation of damaged layer is revealed. Based on that, the phase transformation points of temperature under cutting conditions are determined. By experiment, the effects of cutting speed and tool wear on white layer thickness in damaged layer are revealed. The temperature distribution law of third deformation zone is got by establishing the numerical prediction model, and thickness of white layer in damaged layer is predicted, taking the tool wear effect into consideration. The experimental results show that the model prediction is accurate, and the establishment of prediction model provides a reference for wise selection of parameters in precise hard cutting process. For the machining process with high demanding on surface integrity, the generation of damaged layer on machined surface can be controlled precisely by using the prediction model.

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References

  1. UMBRELLO D. Influence of material microstructure changes on surface integrity in hard machining of AISI 52100 steel[J]. International Journal of Advanced Manufacturing Technology, 2011, 54(9–12): 887–898.

    Article  Google Scholar 

  2. ZHANG S, LI W, GUO Y B. Process design space for optimal surface integrity in finish hard milling of tool steel[J]. Production Engineering, 2012, 6(4–5): 355–365.

    Article  Google Scholar 

  3. MAO C, ZHOU Z X, ZHANG J. An experimental investigation of affected layers formed in grinding of AISI 52100 steel[J]. The International Journal of Advanced Manufacturing Technology, 2011, 54(5–8): 515–523.

    Article  Google Scholar 

  4. RAMESH A, SHREYES N, MELKOTE. Modeling of white layer formation under thermally dominant conditions in orthogonal machining of hardened AISI 52100 steel[J]. International Journal of Machine Tools & Manufacture, 2008, 48: 402–414.

    Article  Google Scholar 

  5. HAN S, SHREYES N M, MICHAEL S, et al. White layer formation due to phase transformation in orthogonal machining of AISI 1045 annealed steel[J]. Materials Science and Engineering: A, 2008, 488(1–2): 195–204.

    Article  Google Scholar 

  6. MACKERLE J. Finite element analysis and simulation of hardening and other heat treatment processes[J]. Computational Materials Science, 2003, 27: 313–332.

    Article  Google Scholar 

  7. UMBRELLO D, AMBROGIO G, FLICE L, et al. A hybrid finite element method-artificial neural network approach for predicting residual stresses and the optimal cutting conditions during hard turning of AISI 52100 bearing steal[J]. Materials and Design, 2008, 29: 873–883.

    Article  Google Scholar 

  8. LIU X L, YAN F G, LI Y F, et al. Effect of cutting parameters on integrality of machined surface in hard cutting[J]. Advances in Materials Manufacturing Science and Technology, 2004, 471: 307–311.

    Google Scholar 

  9. SAOUBI R M, OUTEIRO J C, CHANDRASEKARAN H. A review of surface integrity in machining and its impact on functional performance and life of machined products[J]. Int. J. Sustainable Manufacturing, 2008, 1: 203–236.

    Google Scholar 

  10. MACKERLE J. Finite element analysis and simulation of hardening and other heat treatment processes: A bibliography (1976–2001)[J]. Computational Materials Science, 2003, 27: 313–332.

    Article  Google Scholar 

  11. STOLORZ M, BEHRENS B, SILIPIGNI A, et al. Influence of hard milling on the surface integrity of hot working steel[J]. B H M, 2012, 157(11): 420–426.

    Google Scholar 

  12. KLOCKE F, BRINKSMEIER E, WEINERT K. Capability profile of hard cutting and grinding processes[J]. CIRP Annals - Manufacturing Technology, 2005(54): 22–45.

    Article  Google Scholar 

  13. WEN Q, GUO Y B, TODD Beth A. An adaptive FEA method to predict surface quality in hard machining[J]. Journal of Materials Processing Technology, 2006(173): 21–28.

    Article  Google Scholar 

  14. BARTARYA Gaurav, CHOUDHURY S K. State of the art in hard turning[J]. International Journal of Machine Tools & Manufacture, 2012(53): 1–14.

    Article  Google Scholar 

  15. CHOU Y K. Surface hardening of AISI 4340 steel by machining: a preliminary investigation[J]. Journal of Materials Processing Technology, 2002, 124: 171–177.

    Article  Google Scholar 

  16. UMBRELLO D, FILICE L. Improving surface integrity in orthogonal machining of hardened AISI 52100 steel by modeling white and dark layers formation[J]. CIRP Annals-Manufacturing Technology, 2009, 58: 73–76.

    Article  Google Scholar 

  17. CHOU Y K, SONG H. Tool nose radius effects on finish hard turning[J]. Journal of Materials Processing Technology, 2004, 148: 259–268.

    Article  Google Scholar 

  18. CHOU Y K, SONG H. Thermal modeling for white layer predictions in finish hard turning[J]. International Journal of Machine Tools & Manufacture, 2005, 45: 481–495.

    Article  Google Scholar 

  19. JAEGER J C. Moving source of heat and the temperature at sliding contacts[C]//Proceedings of the Royal Society, New South Wales, 1942, 76: 203–224.

    MathSciNet  Google Scholar 

Download references

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Correspondence to Caixu Yue.

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Supported by National Natural Science Foundation of China (Grant Nos. 51105119, 51235003)

YUE Caixu, born in 1982, is an associate professor. He received his doctor degree on machinery manufacture from Harbin University of Science and Technology, China, in 2013. His research interests include hard cutting mechanics and control of cutting process.

LIU Xianli, born in 1961, is a PhD supervisor and a professor at Harbin University of Science and Technology, China. He received his doctor degree on machinery manufacture from Harbin Institute of Technology, China, in 1999.

MA Jing, born in 1989, is a PhD candidate at Harbin University of Science and Technology, China. Her research interests include hard cutting mechanics and simulation.

LIU Zhaojing, born in 1957, is currently an engineer at Harbin University of Science and Technology, China.

LIU Fei, born in 1989, is a master candidate at Harbin University of Science and Technology, China. Her research interest is finite element simulation technology of cutting process.

YANG Yongheng, born in 1987, is a master candidate at Harbin University of Science and Technology, China. His research interest is formation mechanism of hard cutting metamorphic layer.

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Yue, C., Liu, X., Ma, J. et al. Hardening effect on machined surface for precise hard cutting process with consideration of tool wear. Chin. J. Mech. Eng. 27, 1249–1256 (2014). https://doi.org/10.3901/CJME.2014.0922.154

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  • DOI: https://doi.org/10.3901/CJME.2014.0922.154

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