Abstract
Finite element (FE) technique has been used extensively to have a deeper understanding on the mechanics of metal cutting and for process optimization. The accuracy of the model is dependent on both the highly non-linear material plasticity model and the simulated friction condition between contacting surfaces. Hence, majority of the predicted results were validated from direct or indirect experimental results. Measurement of cutting forces magnitude and temperature field are direct techniques to validate the model. Indirect methods are chip morphology and residual stresses measurement from the newly generated surface. In this paper, a unique indirect method is proposed to validate the accuracy of the FE model. This method predicts the tool wear rate by using the average contact pressure and interface temperature acquired from finite element simulation, as the inputs for the Usui’s tool wear rate equation. Orthogonal cutting experiments were performed in specific ranges of cutting speed and feed rate. The workpiece material used was AISI 1045 at 86 HRB, and tool material was uncoated carbide. Tool cutting edge geometry was analyzed in different steps of the cutting process, and worn edge geometries were obtained. The worn edge geometries were then used to build the FE cutting models. Based on the simulation results when the flank wear length increases, the temperature field prediction showed that the region of maximum temperature shifted from the rake face to the flank face region. The contact pressure increased substantially with cutting speed rather than feed rate. The predicted wear rate agreed well with experimental results. Using tool wear rate to predict the accuracy of the FE cutting model is limited to the orientation of the rake and flank face surfaces.
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References
Movahhedy MR, Gadala MS, Altintas Y (2000) Simulation of chip formation in orthogonal metal cutting process: an ALE finite element approach. Int J Mach Sci Technol 4(1):15–42
Ng E, El-Wardany TI, Dumitrscu M, Elbestawi MA (2002) Physics-based simulation of high speed machining. Int J Mach Sci Technol 6(3):301–329
Ng E, El-Wardany TI, Elbestawi MA (2003) Influence of flank wear length on residual stress and workpiece quality in machined surfaces. International Journal of Mechanical Production Systems, Issue April: 10-21
Yen Y-C, 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
Nasr MN, Ng E-G, Elbestawi M (2007) Modelling the effects of tool-edge radius on residual stresses when orthogonal cutting AISI 316L. Int J Mach Tools Manuf 47(2):401–411
Özel T (2006) The influence of friction models on finite element simulations of machining. Int J Mach Tools Manuf 46(5):518–530
Li K, Gao X-L, Sutherland J (2002) Finite element simulation of the orthogonal metal cutting process for qualitative understanding of the effects of crater wear on the chip formation process. J Mater Process Technol 127(3):309–324
Hosseinkhani K, Ng E (2013) Analysis of the cutting mechanics under the influence of worn tool geometry. Proceeding of the 14th international conference on modeling the machining operation (14th CIRP CMMO). Torino 8:117–122
Sánchez A, Canteli J, Cantero J, Miguélez M (2011) Numerical analysis of the tool Wear effect in the machining induced residual stresses. J Simul Model Pract Theory 19(2):872–886
Boyd JM, Hosseinkhani K, Veldhuis SC, Ng E (2016) Improved prediction of cutting forces via finite element simulations using novel heavy-load, high-temperature tribometer friction data. Int J Adv Manuf Technol 86(5):2037–2045
Wan L, Wang D, Gao Y (2015) Investigations on the effects of different tool edge geometries in the finite element simulation of machining. J Mech Eng 61(3):157–166
Duboust N, Pinna C, Ghadbeigi H, Collis A, Ayvar-Soberanis S, Kerrigan K, Scaife R (2019) FE modelling of CFRP machining—prediction of the effects of cutting edge rounding. 17th CIRP Conference on Modelling of Machining Operations (17th CIRP CMMO), 82: 59-64
Uçak N, Çiçek A, Oezkaya E, Aslantas K (2019) Finite element simulations of cutting force, torque, and temperature in drilling of Inconel 718. 17th CIRP Conference on Modelling of Machining Operations (17th CIRP CMMO), 82:47-52
Johnson GJ, Cook WH (1983) A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures. Proceedings of the 7th International Symposium on Ballistics, pp 541-547
Jaspers S, Dautzenberg JH (2002) Material behaviour in conditions similar to metal cutting: flow stress in the primary shear zone. J Mater Process Technol 122(2-3):322–330
Halim SMT (2008) Finite element modeling of the orthogonal metal cutting process: modeling the effects of coefficient of friction and tool holding structure on cutting forces and chip thickness. Dissertation, McMaster Univesity
Kalhori V (2001) Modelling and simulation of mechanical cutting. Dissertation , Lulea University of Technology
Pavlina EJ, Van Tyne CJ (2008) Correlation of yield strength and tensile strength with hardness for steels. J Mater Eng Perform 17(6):888–893
Puls H, Klocke F, Lung D (2012) A new experimental methodology to analyse the friction behaviour at the tool-chip interface in metal cutting. Prod Eng Res Dev 6:349–354
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
Bordin A, Imbrogno S, Rotella G, Bruschi S, Ghiotti A, Umbrello D (2015) Finite element simulation of semi-finishing turning of electron beam melted Ti6Al4V under dry and cryogenic cooling. Procedia CIRP 31:551–556
Malakizadi A, Gruber H, Sadik I, Nybor L (2016) An FEM-based approach for tool wear estimation in machining. Int J Wear 368–369:10–24
Lane BM, Dow TA, Scattergood R (2013) Thermo-chemical wear model and worn shapes for single-crystal diamond tools cutting steel. Int J Wear 300(1-2):216–224
Hosseinkhani K, Ng E (2020) A unique methodology for tool life prediction in machining. J Manuf Mater Process 4(1):1–16
Thakare A, Nordgren A (2015) Experimental study and modeling of steady state temperature distributions in coated cemented carbide tools in turning. Proc CIRP 31:234–239
Trigger KJ (1963) Temperatures in machining and their importance. Proceeding of International Research in Production Engineering ASME, pp 95-101
Usui E, Shirakashi T, Kitagawa T (1984) Analytical prediction of cutting tool wear. Int J Wear 100(1-3):129–151
Huang Y, Liang SY (2003) Modelling of the cutting temperature distribution under the tool flank wear effect. J Mech Eng Sci 217(11):1195–1208
Takeyama H, Murata R (1963) Basic investigation of tool wear. Trasaction of ASME Journal of Engineering for Industry 85:33–38
Kountanya RK, Endres WJ (2004) Flank wear of edge-radiused cutting tools under ideal straight-edged orthogonal conditions. J Manuf Sci Eng 126(3):496–505
Malakizadi A, Hosseinkhani K, Mariano E, Ng E, Del Prete A, Nyborg L (2017) Influence of friction models on FE simulation results of orthogonal cutting process. Int J Adv Manuf Technol 88(9–12):3217–3232
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The authors would like to thank the Mechanical Engineering Department at McMaster University and McMaster Manufacturing Research Institute (MMRI) for providing the laboratory infrastructure.
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This work was funded by Natural Sciences and Engineering Research Council of Canada (NSERC) through the Canadian Network for Research and Innovation in Machining Technology (CANRIMT) and Discovery Grant programs.
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Conceptualization, methodology, experiment, finite element simulation, and data analysis by Keyvan Hosseinkhani. Resources and funding acquisition by Eu-gene Ng. Writing—original manuscript draft preparation by Keyvan Hosseinkhani. Writing—review and editing by Eu-gene Ng. Project administration by Keyvan Hosseinkhani and Eu-gene Ng.
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We would like the manuscript entitled “Finite element simulation of cutting process under the Worn Tool Edge Geometries” by Keyvan Hosseinkhani and Eu-gene Ng to be considered for publication in the International Journal of Advanced Manufacturing Technology.
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Hosseinkhani, K., Ng, Eg. Finite element simulation of cutting process under the worn tool edge geometries. Int J Adv Manuf Technol 116, 3991–4006 (2021). https://doi.org/10.1007/s00170-021-07725-9
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DOI: https://doi.org/10.1007/s00170-021-07725-9