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Optimization of Accuracy and Surface Finish of Drilled Holes in 350 Mild Steel

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Optimization of Manufacturing Processes

Part of the book series: Springer Series in Advanced Manufacturing ((SSAM))

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Abstract

This chapter presents analysis and optimization of machinability of Mild steel grade 350 while high speed drilling operation. Taguchi design of experiments (DoEs), analysis of variance (ANOVA) and other traditional methods were applied to optimize the input variables in order to minimise the circularity, cylindricity, diameter error and surface roughness of drilled holes. It was found that point angle was the highest contributor for the circularity, cylindricity and surface roughness of drilled holes. The circularity error was minimum at the low speed (584 rpm), low feed (0.15 mm/rev) and moderate point angle (125°). The cylindricity error of holes was minimised at the high speed (849 rpm), moderate feed (0.2 mm/rev) and moderate point angle (125°). The moderate speed, low feed and moderate point angle minimised surface roughness considerably. The interaction between speed and point angle had the maximum contribution to the diameter error of drilled holes. The diameter error was minimum at the moderate speed, low feed and moderate point angle.

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References

  1. Asiltürk I, Neşeli S (2012) Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis. Measurement 45(4):785–794

    Article  Google Scholar 

  2. Belluco W, De Chiffre L (2004) Performance evaluation of vegetable-based oils in drilling austenitic stainless steel. J Mater Process Technol 148(2):171–176

    Article  Google Scholar 

  3. Brady GS et al (2002) Materials handbook: an encyclopedia for managers, technical professionals, purchasing and production managers, technicians and supervisors. McGraw-Hill handbooks. McGraw-Hill

    Google Scholar 

  4. Çaydaş U et al (2011) Performance evaluation of different twist drills in dry drilling of AISI 304 austenitic stainless steel. Mater Manuf Processes 26(8):951–960

    Article  Google Scholar 

  5. Chajda J et al (2008) Coordinate measurement of complicated parameters like roundness, cylindricity, gear teeth or free-form surface. In: International conference of advanced manufacturing operations, Kranevo, 8

    Google Scholar 

  6. Chen W-C, Liu X-D (2000) Study on the various coated twist drills for stainless steels drilling. J Mater Process Technol 99(1):226–230

    Article  Google Scholar 

  7. Çiçek A et al (2012) Performance of cryogenically treated M35 HSS drills in drilling of austenitic stainless steels. Int J Adv Manuf Technol 60(1):65–73

    Article  Google Scholar 

  8. Clyde FC (2001) Coombs’ printed circuits handbook. McGraw-Hill Professional

    Google Scholar 

  9. Dolinšek S (2003) Work-hardening in the drilling of austenitic stainless steels. J Mater Process Technol 133(1):63–70

    Article  Google Scholar 

  10. Endo H et al (2007) Accuracy estimation of drilled holes with small diameter and influence of drill parameter on the machining accuracy when drilling in mild steel sheet. Int J Mach Tools Manuf 47(1):175–181

    Article  Google Scholar 

  11. Firouzdor V et al (2008) Effect of deep cryogenic treatment on wear resistance and tool life of M2 HSS drill. J Mater Process Technol 206(1):467–472

    Article  Google Scholar 

  12. Geng H (2015) Manufacturing engineering handbook. McGraw Hill Professional

    Google Scholar 

  13. Haq AN et al (2008) Multi response optimization of machining parameters of drilling Al/SiC metal matrix composite using grey relational analysis in the Taguchi method. Int J Adv Manuf Technol 37(3–4):250–255

    Article  Google Scholar 

  14. Hashmi K et al (2000) Fuzzy logic based data selection for the drilling process. J Mater Process Technol 108(1):55–61

    Article  Google Scholar 

  15. Hayajneh MT (2001) Hole quality in deep hole drilling. Mater Manuf Processes 16(2):147–164

    Article  Google Scholar 

  16. Islam MN, Pramanik A (2016) Comparison of design of experiments via traditional and Taguchi method. J Adv Manuf Syst 15(03):151–160

    Article  Google Scholar 

  17. Kaplan Y et al (2014) Investigation of the effects of machining parameters on the thrust force and cutting torque in the drilling of AISI D2 and AISI D3 cold work tool steels

    Google Scholar 

  18. Kilickap E, 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 Processes 25(10):1068–1076

    Article  Google Scholar 

  19. Kim D, Ramulu M (2004) Drilling process optimization for graphite/bismaleimide–titanium alloy stacks. Compos Struct 63(1):101–114

    Article  Google Scholar 

  20. Kıvak T et al (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 

  21. Krishnamoorthy A et al (2012) Application of grey fuzzy logic for the optimization of drilling parameters for CFRP composites with multiple performance characteristics. Measurement 45(5):1286–1296

    Article  Google Scholar 

  22. Kumar D et al (2012) Operational modeling for optimizing surface roughness in mild steel drilling using Taguchi technique. Int J Res Manag 2(3):66–77

    Google Scholar 

  23. Kurt M et al (2009) Application of Taguchi methods in the optimization of cutting parameters for surface finish and hole diameter accuracy in dry drilling processes. Int J Adv Manuf Technol 40(5–6):458–469

    Article  Google Scholar 

  24. Lee B et al (1998) Modeling and optimization of drilling process. J Mater Process Technol 74(1–3):149–157

    Article  Google Scholar 

  25. Min S et al (2001) Development of a drilling burr control chart for low alloy steel, AISI 4118. J Mater Process Technol 113(1):4–9

    Article  Google Scholar 

  26. Montgomery DC (2017) Design and analysis of experiments. Wiley

    Google Scholar 

  27. Nomani J et al (2013) Machinability study of first generation duplex (2205), second generation duplex (2507) and austenite stainless steel during drilling process. Wear 304(1):20–28

    Article  Google Scholar 

  28. Nomani J et al (2016) Investigation on the behavior of austenite and ferrite phases at stagnation region in the turning of duplex stainless steel alloys. Metall Mater Trans A 47(6):3165–3177

    Article  Google Scholar 

  29. Nomani J et al (2017) Stagnation zone during the turning of Duplex SAF 2205 stainless steels alloy. Mater Manuf Process (just-accepted)

    Google Scholar 

  30. Park S (1996) Robust design and analysis for quality engineering. Boom Koninklijke Uitgevers

    Google Scholar 

  31. Pramanik A et al (2016) Accuracy and finish during wire electric discharge machining of metal matrix composites for different reinforcement size and machining conditions. Proc Inst Mech Eng Part B J Eng Manuf, 0954405416662079

    Google Scholar 

  32. Prasanna J et al (2014) Optimization of process parameters of small hole dry drilling in Ti–6Al–4V using Taguchi and grey relational analysis. Measurement 48:346–354

    Article  Google Scholar 

  33. Ross PJ (1996) Taguchi techniques for quality engineering. McGraw-Hill International Editions

    Google Scholar 

  34. Routio M, Säynätjoki M (1995) Tool wear and failure in the drilling of stainless steel. J Mater Process Technol 52(1):35–43

    Article  Google Scholar 

  35. Samuel G, Shunmugam M (2003) Evaluation of circularity and sphericity from coordinate measurement data. J Mater Process Technol 139(1–3):90–95

    Article  Google Scholar 

  36. Samui P (2014) Determination of surface and hole quality in drilling of AISI D2 cold work tool steel using MPMR, MARS and LSSVM. J Adv Manuf Syst 13(04):237–246

    Article  Google Scholar 

  37. Sultan A et al (2015) Chip formation when drilling AISI 316L stainless steel using carbide twist drill. Proc Manuf 2:224–229

    Google Scholar 

  38. Taguchi G (1987) System of experimental design: engineering methods to optimize quality and minimize cost. UNIPUB/Kraus Int. Pub, White Plains, NY

    Google Scholar 

  39. Tosun N (2006) Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. Int J Adv Manuf Technol 28(5–6):450–455

    Article  Google Scholar 

  40. Vankanti VK, Ganta V (2014) Optimization of process parameters in drilling of GFRP composite using Taguchi method. J Mater Res Technol 3(1):35–41

    Article  Google Scholar 

  41. Yusoff N et al (2011) Taguchi’s parametric design approach for the selection of optimization variables in a refrigerated gas plant. Chem Eng Res Des 89(6):665–675

    Article  Google Scholar 

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Pramanik, A., Basak, A.K., Islam, M.N., Dong, Y., Debnath, S., Vora, J.J. (2020). Optimization of Accuracy and Surface Finish of Drilled Holes in 350 Mild Steel. In: Gupta, K., Gupta, M. (eds) Optimization of Manufacturing Processes. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-030-19638-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-19638-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19637-0

  • Online ISBN: 978-3-030-19638-7

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