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Parametric design optimization of hard turning of AISI 4340 steel (69 HRC)

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Abstract

Continuous research endeavors on hard turning (HT), both on machine tools and cutting tools, have made the previously reported daunting limits easily attainable in the modern scenario. This presents an opportunity for a systematic investigation on finding the current attainable limits of hard turning using a CNC turret lathe. Accordingly, this study aims to contribute to the existing literature by providing the latest experimental results of hard turning of AISI 4340 steel (69 HRC) using a CBN cutting tool. An orthogonal array was implemented using a set of judiciously chosen cutting parameters. Subsequently, the longitudinal turning trials were carried out in accordance with a well-designed full factorial-based Taguchi matrix. The speculation indeed proved correct as a mirror finished optical quality machined surface (an average surface roughness value of 45 nm) was achieved by the conventional cutting method using a CBN cutting tool. Furthermore, signal to noise (S/N) ratio analysis, analysis of variance (ANOVA), and multiple regression analysis were carried out on the experimental datasets to assert the dominance of each machining variable in dictating the machined surface roughness and to optimize the machining parameters. One of the key findings was that when feed rate during hard turning approaches very low (about 0.02 mm/rev), it could alone be most significant (99.16 %) parameter in influencing the machined surface roughness (Ra). This has, however, also been shown that low feed rate results in high tool wear; so, the selection of machining parameters for carrying out hard turning must be governed by a trade-off between the cost and quality considerations.

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References

  1. Tönshoff HK, Arendt C, Amor RB (2000) Cutting of Hardened Steel. CIRP Ann Manuf Technol 49(2):547–566

    Article  Google Scholar 

  2. Grzesik W (2011) Mechanics of Cutting and Chip Formation. In: Davim JP (ed) Machining of Hard Materials. Springer, London, pp 87–114

    Chapter  Google Scholar 

  3. Rashid WB et al (2013) The development of a surface defect machining method for hard turning processes. Wear 302(1–2):1124–1135

    Article  Google Scholar 

  4. Bartarya G, SK (2013) Choudhury, Influence of machining parameters on forces and surface roughness during finish hard turning of EN 31 steel. Proc Inst Mech Eng B J Eng Manuf: p. 0954405413500492

  5. Grzesik W, J Rech, K Żak (2015) Characterization of surface textures generated on hardened steel parts in high-precision machining operations. Int J Adv Manuf Technol: p. 1–8

  6. Nakai TN, S Tomita, K Goto (1991) Hard Turning by PCBN. Soc Manuf Eng, June, 3(2)

  7. Rashid WB et al (2013) An experimental investigation for the improvement of attainable surface roughness during hard turning process. Proc Inst Mech Eng B J Eng Manuf 227(2):338–342

    Article  Google Scholar 

  8. Rashid WB et al. (2015) Achieving an optical quality surface finish on hard steels using conventional machining (in review). J Mater Process Technol

  9. Bartarya G, Choudhury SK (2012) State of the art in hard turning. Int J Mach Tools Manuf 53(1):1–14

    Article  Google Scholar 

  10. Ross PJ (1995) Taguchi techniques for quality engineering (2nd ed’95)

  11. Taguchi G, S Konishi (1987) Orthogonal arrays and linear graphs: tools for quality engineering. American Supplier Institute Allen Park, MI

  12. Yang W, Tarng Y (1998) Design optimization of cutting parameters for turning operations based on the Taguchi method. J Mater Process Technol 84(1):122–129

    Article  Google Scholar 

  13. Davim JP (2001) A note on the determination of optimal cutting conditions for surface finish obtained in turning using design of experiments. J Mater Process Technol 116(2):305–308

    Article  Google Scholar 

  14. Davim JP (2003) Design of optimisation of cutting parameters for turning metal matrix composites based on the orthogonal arrays. J Mater Process Technol 132(1):340–344

    Article  Google Scholar 

  15. Lin C (2004) Use of the Taguchi method and grey relational analysis to optimize turning operations with multiple performance characteristics. Mater Manuf Process 19(2):209–220

    Article  Google Scholar 

  16. Manna A, Bhattacharyya B (2004) Investigation for optimal parametric combination for achieving better surface finish during turning of Al/SiC-MMC. Int J Adv Manuf Technol 23(9–10):658–665

    Article  Google Scholar 

  17. Yih-fong T (2006) Parameter design optimisation of computerised numerical control turning tool steels for high dimensional precision and accuracy. Mater Des 27(8):665–675

    Article  Google Scholar 

  18. Kirby ED (2006) A parameter design study in a turning operation using the taguchi method. the Technology Interface/Fall 2006

  19. Cirstoiu CA (2005) Influence of feed rate on surface roughness in turning processes with different tool inserts. University“ Politehnica” of Bucharest Scientific Bulletin, Series D. Mech Eng 67(2):63–70

    Google Scholar 

  20. Feng C-X, Wang X-F (2003) Surface roughness predictive modeling: neural networks versus regression. IIE Trans 35(1):11–27

    Article  Google Scholar 

  21. Özel T, Hsu T-K, Zeren E (2005) Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel. Int J Adv Manuf Technol 25(3–4):262–269

    Article  Google Scholar 

  22. Vernon A, T Özel (2003) Factors affecting surface roughness in finish hard turning. in 17th International Conference on Production Research, Blacksburg, Virginia

  23. Tamizharasan T, Selvaraj T, Haq AN (2006) Analysis of tool wear and surface finish in hard turning. Int J Adv Manuf Technol 28(7–8):671–679

    Article  Google Scholar 

  24. Zhang X, Liu CR, Yao Z (2007) Experimental study and evaluation methodology on hard surface integrity. Int J Adv Manuf Technol 34(1–2):141–148

    Article  MathSciNet  Google Scholar 

  25. Özel T, Karpat Y (2005) Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks. Int J Mach Tools Manuf 45(4–5):467–479

    Article  Google Scholar 

  26. Thiele JD, Melkote SN (1999) Effect of cutting edge geometry and workpiece hardness on surface generation in the finish hard turning of AISI 52100 steel. J Mater Process Technol 94(2):216–226

    Article  Google Scholar 

  27. Aslan E, Camuşcu N, Birgören B (2007) Design optimization of cutting parameters when turning hardened AISI 4140 steel (63 HRC) with Al < sub > 2</sub > O < sub > 3</sub > + TiCN mixed ceramic tool. Mater Des 28(5):1618–1622

    Article  Google Scholar 

  28. Davim JP, Figueira L (2007) Machinability evaluation in hard turning of cold work tool steel (D2) with ceramic tools using statistical techniques. Mater Des 28(4):1186–1191

    Article  Google Scholar 

  29. Chou YK, Evans CJ, Barash MM (2003) Experimental investigation on cubic boron nitride turning of hardened AISI 52100 steel. J Mater Process Technol 134(1):1–9

    Article  Google Scholar 

  30. Xueping Z, Erwei G, Richard Liu C (2009) Optimization of process parameter of residual stresses for hard turned surfaces. J Mater Process Technol 209(9):4286–4291

    Article  Google Scholar 

  31. Bouacha K et al (2010) Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool. Int J Refract Met Hard Mater 28(3):349–361

    Article  Google Scholar 

  32. Asiltürk I, Akkuş H (2011) Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement 44(9):1697–1704

    Google Scholar 

  33. Agrawal A et al (2015) Prediction of surface roughness during hard turning of AISI 4340 steel (69 HRC). Appl Soft Comput 30:279–286

    Article  Google Scholar 

  34. Suresh R et al (2013) State-of-the-art research in machinability of hardened steels. Proc Inst Mech Eng B J Eng Manuf 227(2):191–209

    Article  Google Scholar 

  35. Goel S (2014) A topical review on “The current understanding on the diamond machining of silicon carbide”. J Phys D Appl Phys 47(24):243001

    Article  Google Scholar 

  36. Goel S et al (2015) Diamond machining of silicon: a review of advances in molecular dynamics simulation. Int J Mach Tools Manuf 88:131–164

    Article  Google Scholar 

  37. Zhang Z, Yan J, Kuriyagawa T (2011) Study on tool wear characteristics in diamond turning of reaction-bonded silicon carbide. Int J Adv Manuf Technol 57(1):117–125

    Article  Google Scholar 

Download references

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Correspondence to Saurav Goel.

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Rashid, W.B., Goel, S., Davim, J.P. et al. Parametric design optimization of hard turning of AISI 4340 steel (69 HRC). Int J Adv Manuf Technol 82, 451–462 (2016). https://doi.org/10.1007/s00170-015-7337-2

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  • DOI: https://doi.org/10.1007/s00170-015-7337-2

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