Finite element modelling of orthogonal cutting: sensitivity analysis of material and contact parameters

This paper presents a finite element model of orthogonal cutting developed with Abaqus/explicit software. An Arbitrary Lagrangian-Eulerian (ALE) formulation is used to predict chip formation, temperature, chip-tool contact length, chip thickness, and cutting forces. This numerical model makes possible qualitative analysis of input parameters related to cutting process and frictional models. A sensitivity allows the identification of significant input parameters (coefficients of the Johnson-Cook law, contact and thermal parameters) and their tolerance limits identification. This study draws to input parameters which have to be determined accurately in order to improve numerical approaches of machining.

[1]  S. V. Razorenov,et al.  Experimental investigations and modelling of strain rate and temperature effects on the flow behaviour of 1045 steel , 2006 .

[2]  L. Dubar,et al.  Contact and friction analysis at tool-chip interface to high-speed machining , 2008 .

[3]  José Outeiro,et al.  Experimental Assessment of Temperature Distribution in Three-Dimensional Cutting Process , 2004 .

[4]  J. Rech,et al.  Identification of a friction model—Application to the context of dry cutting of an AISI 1045 annealed steel with a TiN-coated carbide tool , 2009 .

[5]  J. H. Dautzenberg,et al.  Material behaviour in conditions similar to metal cutting : flow stress in the primary shear zone , 2002 .

[6]  D. Umbrello,et al.  The influence of Johnson–Cook material constants on finite element simulation of machining of AISI 316L steel , 2007 .

[7]  A. Rosakis,et al.  A thermodynamic internal variable model for the partition of plastic work into heat and stored energy in metals , 2000 .

[8]  Olivier Pantalé.  Modélisation et simulation tridimensionnelles de la coupe des métaux , 1996 .

[9]  Vahid Kalhori,et al.  Modelling and simulation of mechanical cutting , 2001 .

[10]  Hossam A. Kishawy,et al.  An exploration of friction models for the chip–tool interface using an Arbitrary Lagrangian–Eulerian finite element model , 2008 .

[11]  Tuğrul Özel,et al.  The influence of friction models on finite element simulations of machining , 2006 .

[12]  Wit Grzesik,et al.  Prediction of friction and heat flow in machining incorporating thermophysical properties of the coating–chip interface , 2004 .

[13]  Laurent Dubar,et al.  Identification of a friction model for modelling of orthogonal cutting , 2010 .

[14]  Fabrizio Micari,et al.  A critical analysis on the friction modelling in orthogonal machining , 2007 .

[15]  Abdelwaheb Dogui,et al.  Experimental characterization of friction coefficient at the tool–chip–workpiece interface during dry cutting of AISI 1045 , 2012 .

[16]  Sture Hogmark,et al.  Simulation of cutting tool wear by a modified pin-on-disc test , 1989 .

[17]  Hédi Hamdi,et al.  Identification of a friction model—Application to the context of dry cutting of an AISI 316L austenitic stainless steel with a TiN coated carbide tool , 2008 .

[18]  G. Gary,et al.  Mechanical behaviour and temperature measurement during dynamic deformation on split Hopkinson bar of 304L stainless steel and 5754 aluminium alloy , 2006 .

[19]  Maan Aabid Tawfiq,et al.  A Finite Element Analysis of Orthogonal Machining Using Different Tool Edge Geometries , 2007, Engineering and Technology Journal.

[20]  T. Özel,et al.  Determination of workpiece flow stress and friction at the chip-tool contact for high-speed cutting , 2000 .

[21]  Tuğrul Özel,et al.  Identification of Constitutive Material Model Parameters for High-Strain Rate Metal Cutting Conditions Using Evolutionary Computational Algorithms , 2007 .