3D numerical analysis of drilling process: heat, wear, and built-up edge

doi:10.1007/s40436-018-0223-z

Abstract

Abstract: In this study, a 3D finite element model is developed to investigate the drilling process of AISI 1045 steel, and particularly, the heat and wear on the drill faces. To model drill wear, a modified Usui flank wear rate is used. Experiments are used for the verification of the simulated model and the evaluation of the surface roughness and built-up edge. A comparison of the predicted and experimental thrust forces and flank wear rates revealed that the predicted values had low errors and were in good agreement with the experimental values, which showed the utility of the developed model for further analysis. Accordingly, a heat analysis indicated that approximately half the generated heat in the cutting zone was conducted to the drill bit. Furthermore, material adhesion occurred in localized heat areas to a great extent, thus resulting in wear acceleration. A maximum flank wear rate of 0.026 1 mm/s was observed when the rotary speed and feed rate were at the lowest and highest levels, respectively. In the reverse cutting condition, a minimum flank wear rate of 0.016 8 mm/s was observed.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-018-0223-z

Key words: Drilling, Built-up edge, Heat, Flank wear, Force

Mohammad Lotfi, Saeid Amini, Ihsan Yaseen Al-Awady. 3D numerical analysis of drilling process: heat, wear, and built-up edge[J]. Advances in Manufacturing, 2018, 6(2): 204-214.

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References

1. Farid AA, Sharif S, Idris MH (2011) Chip morphology study in high speed drilling of Al-Si alloy. Int J Adv Manuf Technol 57(5-8):555-564
2. Pervaiz S, Deiab I, Kishawy H (2016) A finite element based energy consumption analysis for machining AISI 1045 carbon steel using uncoated carbide tool. Adv Mater Process Technol 2(1):83-92
3. Bagci E, Ozcelik B (2006) Finite element and experimental investigation of temperature changes on a twist drill in sequential dry drilling. Int J Adv Manuf Technol 28(7-8):680-687
4. Wu J, Han DR (2009) A new approach to predicting the maximum temperature in dry drilling based on a finite element model. J Manuf Process 11(1):19-30
5. Guo DA, Dornfeld YB (2000) Finite element modeling of burr formation process in drilling 304 stainless steel. J Manuf Sci Eng 122(4):612-619
6. Nan X, Xie L, Zhao W (2016) On the application of 3D finite element modeling for small-diameter hole drilling of AISI 1045 steel. Int J Adv Manuf Technol 84(9-12):1927-1939
7. Chatterjee S, Mahapatra SS, Abhishek K (2016) Simulation and optimization of machining parameters in drilling of titanium alloys. Simul Model Pract Theory 62:31-48
8. Abdelhafeez AM, Soo SL, Aspinwall D et al (2016) A coupled Eulerian Lagrangian finite element model of drilling titanium and aluminium alloys. SAE Int J Aerosp 9:198-207
9. AZoM (2012) AISI 1045 medium carbon steel. http://www.azom.com/article.aspx?ArticleID=6130. Accessed 5 Jul 2012
10. Johnson GR, Cook WH (1983) A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures. In:Proceedings of the 7th international symposium on ballistics, Hague, pp 541-547
11. Lotfi M, Jahanbakhsh M, Farid AA (2016) Wear estimation of ceramic and coated carbide tools in turning of Inconel 625:3D FE analysis. Tribol Int 99:107-116
12. Jaspers SPFC, Dautzenberg JH (2002) Material behavior in conditions similar to metal cutting:flow stress in the primary shear zone. J Mater Process Technol 122(2):322-330
13. Deform^® (2014) SFTC-Deform. Columbus, OH, USA
14. Sowerby R, Chandrasekaran N (1984) The cold upsetting and free surface ductility of some commercial steels. J Appl Metalwork 3(3):257-263
15. Thepsonthi T, Özel T (2016) Simulation of serrated chip formation in micro-milling of titanium alloy Ti-6Al-4V using 2D elasto-viscoplastic finite element modeling. Prod Eng Res Dev 10(6):575-586
16. Thepsonthi T, Özel T (2015) 3-D finite element process simulation of micro-end milling Ti-6Al-4V titanium alloy:experimental validations on chip flow and tool wear. J Mater Process Technol 221:128-145
17. Yen YC, Jain A, Altan T (2004) A finite element analysis of orthogonal machining using different tool edge geometries. J Mater Process Technol 146(1):72-81
18. Lotfi M, Ashrafi H, Amini S et al (2016) Characterization of various coatings on wear suppression in turning of Inconel 625:a three-dimensional numerical simulation. Proc Inst Mech Eng Part J J Eng Tribol 231:734-744
19. Lotfi M, Amini S (2016) Effect of ultrasonic vibration on frictional behavior of tool-chip interface:finite element analysis and experimental study. Proc Inst Mech Eng Part B J Eng Manuf 232:1212-1220
20. Haddag B, Kagnaya T, Nouari M et al (2013) A new heat transfer analysis in machining based on two steps of 3D finite element modeling and experimental validation. Heat Mass Transf 49(1):129-145
21. Xie LJ, Schmidt J, Schmidt C et al (2005) 2D FEM estimate of tool wear in turning operation. Wear 258(10):1479-1490
22. Mitrofanov AV, Babitsky VI, Silberschmidt VV (2005) Thermomechanical finite element simulations of ultrasonically assisted turning. Comput Mater Sci 32(3):463-471
23. Malakizadi A, Gruber H, Sadik I et al (2016) An FEM-based approach for tool wear estimation in machining. Wear 368:10-24
24. Bordin A, Imbrogno S, Rotella G et al (2015) Finite element simulation of semi-finishing turning of electron beam melted Ti6Al4V under dry and cryogenic cooling. Procedia CIRP 31:551-556
25. Lotfi M, Amini S, Teimouri R et al (2017) Built-up edge reduction in drilling of AISI 1045 steel. Mater Manuf Process 32(6):623-630
26. Amini S, Paktinat H, Barani A et al (2013) Vibration drilling of Al2024-T6. Mater Manuf Process 28(4):476-480
27. Amini S, Soleimani M, Paktinat H et al (2017) Effect of longitudinal-torsional vibration in ultrasonic-assisted drilling. Mater Manuf Process 32(6):616-622
28. Lotfi M, Farid AA, Soleimanimehr H (2016) A new hybrid model based on the radius ratio for prediction of effective cutting limit of chip breakers. Proc Inst Mech Eng Part B J Eng Manuf 230:1417-1427
29. Fang Y (1998) Theoretical modelling and animation of the chip curling process in 3D metal cutting. Dissertation, University of Wollongong, Australia
30. Lotfi M, Farid AA, Soleimanimehr H (2015) The effect of chip breaker geometry on chip shape, bending moment, and cutting force:FE analysis and experimental study. Int J Adv Manuf Technol 78(5-8):917-925

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