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Modelling and multiresponse optimization for minimizing burr height, thrust force and surface roughness in drilling of ferritic stainless steel

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Abstract

Although there have been many studies on the drillability of various grades of stainless steel, there is no scientific research on the drilling of ferritic stainless steel. Also, the burr at hole exit means the need for secondary machining operation and indirectly increases the production cost. Thus, this study focused on the modeling and minimizing burr height (Bh), thrust force (Fz) and surface roughness (Ra) during drilling of AISI 430 ferritic stainless steel with uncoated carbide drill under dry condition. Bh, Fz and Ra based on different cutting speed and feed rates were measured during drilling tests, and then cutting parameters were optimized by applying Taguchi based grey relational analysis. Moreover, the mathematical models were created by employing the response surface method to predict the machining outputs. The thrust force and the surface roughness decreased while the burr height increased with the increase in cutting speed. Uniform burr formation with drill cap was observed for all machining parameters under dry environment. The effect levels of feed rate and cutting speed on burr height were determined as 54.82% and 44.67%, respectively. These result shows that cutting speed is as important as the feed rate during the drilling of the ferritic stainless steel. In the current study, the best suitable levels of feed rate and cutting speed were detected as 0.12 mm/rev and 45 m/min for minimizing Bh, Fz and Ra. The coefficients of determination obtained by RSM indicated a relationship in high level between the cutting parameters and machining outputs.

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References

  1. Kalpakjian S and Schmid S 2014 Manufacturing Engineering and Technology (7th ed.). Pearson Education, Inc, Singapore, pp. 625–665

  2. Das R and Barik T 2014 An experimental study on the burr formation in drilling of aluminum channels of rectangular section. In: 5th International & 26th All India Manufacturing Technology, Design and Research Conference (AIMTDR), pp. 831–85

  3. Yaǧmur S, Acir A, Şeker U and Günay M 2013 An experimental investigation of effect of cutting parameters on cutting zone temperature in drilling. J. Fac. Eng. Archit. Gazi Univ. 28(1): 1–6

    Google Scholar 

  4. Abdelhafeez AM, Soo SL, Aspinwall DK, Dowson A and Arnold D 2015 Burr formation and hole quality when drilling titanium and aluminium alloys. Procedia CIRP 37: 230–235

    Article  Google Scholar 

  5. Patne HS, Kumar A, Karagadde S and Joshi SS 2017 Modeling of temperature distribution in drilling of titanium. Int. J. Mech. Sci. 133: 598–610

    Article  Google Scholar 

  6. Korkmaz ME, Meral T and Günay M 2018 Drillability Analysis of AISI 420 Martensitic Stainless Steel by Finite Element Method. Gazi Journal of Engineering Sciences 4(3): 223–229

    Google Scholar 

  7. Reddy Sreenivasulu CSR 2019 Review On Investigations Carried Out On Burr Formation In Drilling During 1975 to 2020. Technol. Eng. XVI7: 43–57

  8. Aurich JC, Dornfeld D, Arrazola PJ, Franke V, Leitz L and Min S 2009 Burrs-Analysis, control and removal. CIRP Annals-Manuf. Technol. 58(2): 519–542

    Article  Google Scholar 

  9. Meral T and Günay M 2020 Modelling and optimization of burr height in fiber laser drilling of ferritic stainless steel. Manufacturing Technologies and Applications 1(2): 32–39

    Google Scholar 

  10. Guo YB and Dornfeld DA 2000 Finite element modeling of burr formation process in drilling 304 stainless steel. J. Manuf. Sci. Eng. Trans. ASME 122: 612–619

    Article  Google Scholar 

  11. Kivak T, Samtaş G and Çiçek A 2012 Taguchi method based optimisation of drilling parameters in drilling of AISI 316 steel with PVD monolayer and multilayer coated HSS drills. Measurement 45(6): 1547–1557

    Article  Google Scholar 

  12. Meral G, Sarıkaya M, Mia M, Dilipak H, Şeker U and Gupta MK 2019 Multi-objective optimization of surface roughness, thrust force, and torque produced by novel drill geometries using Taguchi-based GRA. Int. J. Adv. Manuf. Technol. 101: 1595–610

    Article  Google Scholar 

  13. Balaji M, Venkata Rao K, Mohan Rao N and Murthy BSN 2018 Optimization of drilling parameters for drilling of TI-6Al-4V based on surface roughness, flank wear and drill vibration. Measurement 114: 332–339

    Article  Google Scholar 

  14. Mukherjee I and Ray PK 2006 A review of optimization techniques in metal cutting processes. Comput. Ind. Eng. 50(1-2): 15–34

    Article  Google Scholar 

  15. Gaitonde VN, Karnik SR, Achyutha BT and Siddeswarappa B 2005 GA applications to RSM based models for burr size reduction in drilling. J. Sci. Ind. Res. (India) 64: 347–353

    Google Scholar 

  16. Kumar S, Rizvi Y and Kumar R 2018 A review of modelling and optimization techniques in turning processes. Int. J. Mech. Eng. Technol. 9: 1146–56

    Google Scholar 

  17. Mondal N, Mandal S and Mandal MC 2020 FPA based optimization of drilling burr using regression analysis and ANN model. Measurement 152: 1–10

    Article  Google Scholar 

  18. Kilickap E and Huseyinoglu M 2010 Selection of optimum drilling parameters on burr height using response surface methodology and genetic algorithm in drilling of AISI 304 stainless steel. Mater. Manuf. Process. 25: 1068–1076

    Article  Google Scholar 

  19. Bagchi A and Guha S 2018 Parametric optimization of burr height reduction and machining time in drilling operation on stainless steel specimen. IOP Conf. Series: Mater. Sci. Eng. 377: 1–7

    Google Scholar 

  20. Balaji M, Murthy BSN and Rao NM 2016 Optimization of Cutting Parameters in Drilling of AISI 304 Stainless Steel Using Taguchi and ANOVA. Procedia Technology 25: 1106–1113

    Article  Google Scholar 

  21. Çaydaş U, Hasçalk A, Buytoz Ö and Meyveci A 2011 Performance evaluation of different twist drills in dry drilling of AISI 304 austenitic stainless steel. Mater. Manuf. Process. 26: 951–960

    Article  Google Scholar 

  22. Tosun N 2006 Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. Int. J. Adv. Manuf. Technol. 28: 450–455.

    Article  Google Scholar 

  23. Gaitonde VN and Karnik SR 2012 Selection of optimal process parameters for minimizing burr size in drilling using taguchi’s quality loss function approach. J. Brazilian Soc. Mech. Sci. Eng. 34: 238–245

    Article  Google Scholar 

  24. Mavi A 2018 Gri ilişkisel analiz yöntemi ile dubleks paslanmaz çeliklerin delinmesinde yüzey form özelliklerini etkileyen optimum kesme parametrelerinin belirlenmesi. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 6: 634–643

    Article  Google Scholar 

  25. Lin TR 2002 Cutting behavior of a TiN-coated carbide drill with curved cutting edges during the high-speed machining of stainless steel. J. Mater. Process. Technol. 127: 8–16

    Article  Google Scholar 

  26. Kim J, Min S and Dornfeld DA 2001 Optimization and control of drilling burr formation of AISI 304L and AISI 4118 based on drilling burr control charts. Int. J. Mach. Tools Manuf. 41(7): 923–936

    Article  Google Scholar 

  27. Fujita N, Ohmura K and Yamamoto A 2003 Changes of microstructures and high temperature properties during high temperature service of Niobium added ferritic stainless steels. Mater. Sci. Eng. A 351(1-2): 272–281

    Article  Google Scholar 

  28. Kaçar R and Gündüz S 2009 Increasing the strength of AISI 430 ferritic stainless steel by static strain ageing. Kov. Mater. 47: 185–91

    Google Scholar 

  29. Ahmed Y, Youssef H, El-Hofy H and Ahmed M 2018 Prediction and optimization of drilling parameters in drilling of AISI 304 and AISI 2205 steels with PVD monolayer and multilayer coated drills. J. Manuf. Mater. Process. 2: 1–16

    Google Scholar 

  30. Yaşar N 2019 Thrust force modelling and surface roughness optimization in drilling of AA-7075: FEM and GRA. J. Mech. Sci. Technol. 33: 4771–4781

    Article  Google Scholar 

  31. Kalyon A, Günay M and Özyürek D 2018 Application of grey relational analysis based on Taguchi method for optimizing machining parameters in hard turning of high chrome cast iron. Adv. Manuf. 6: 419–429

    Article  Google Scholar 

  32. Tekaüt İ, Demir H 2015 AISI H13 VE AISI D2 çeliklerinin delinmesi esnasında kesme bölgesinde oluşan sıcaklığa kesici takım kaplamasının ve işleme parametrelerinin etkisi. J. Fac. Eng. Archit. Gazi Univ. 30(2):289–296

    Google Scholar 

  33. Hashimura M, Chang YP and Dornfeld D 1999 Analysis of burr formation mechanism in orthogonal cutting. J. Manuf. Sci. Eng. Trans. ASME 121: 1–7

    Article  Google Scholar 

  34. Rana A, Dongre G and Joshi SS 2019 Analytical modeling of exit burr in drilling of Ti6Al4V alloy. Sadhana 44: 1–19

    Article  Google Scholar 

  35. Audy J 2008 A study of computer-assisted analysis of effects of drill geometry and surface coating on forces and power in drilling. J. Mate.r Process. Technol. 204(1–3): 130-138

  36. Küçüktürk G 2013 Modeling and analyzing the effects of experimentally determined torque and thrust force on cutting tool according to drilling parameters. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 227: 84–95

    Article  Google Scholar 

  37. Korkmaz ME and Günay M 2018 Finite element modelling of cutting forces and power consumption in turning of AISI 420 martensitic stainless steel. Arab. J. Sci. Eng. 43: 4863–4870

    Article  Google Scholar 

  38. Amran MA, Salmah S, Hussein NIS, Izamshah R, Hadzley M, Sivaraos, Kasım MS, Sulaiman MA 2013 Effects of machine parameters on surface roughness using response surface method in drilling process. Procedia Eng. 68: 24–29

    Article  Google Scholar 

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Acknowledgements

This study was partly supported by Karabük University (KBÜ-BAP-17-YL-248) and the authors express their gratitude to the support of Scientific Research Project Unit.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Karabük University, Karabük, 78050, Turkey

    Mustafa Günay

  2. Technical Sciences Vocational School, Uludağ University, Bursa, 16059, Turkey

    Tolga Meral

Authors
  1. Mustafa Günay
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  2. Tolga Meral
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Correspondence to Mustafa Günay.

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Günay, M., Meral, T. Modelling and multiresponse optimization for minimizing burr height, thrust force and surface roughness in drilling of ferritic stainless steel. Sādhanā 45, 273 (2020). https://doi.org/10.1007/s12046-020-01490-3

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  • DOI: https://doi.org/10.1007/s12046-020-01490-3

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