Identification of plasticity constants from orthogonal cutting and inverse analysis

The aim of this work is that from experimental determined cutting process parameters be able to predict the plasticity input constants to Finite Element Method (FEM) models. In the present study the Johnson-Cook constitutive model constants are determined on the basis of cutting process parameters in orthogonal cutting and by use of inverse analysis. Previously established links between Johnson-Cook constitutive model constants and cutting process parameters in the cutting process such as primary cutting force and chip compression ratio is used serve as a starting point in the inverse analysis. As a reference material AISI 4140 has been chosen in this study, which is a tempered steel. The Johnson-Cook constitutive model constants in the reference material are being changed within an interval of ±30 %. The inverse analysis is performed using a Kalman filter. The material model for the reference material is validated on the basis of the experimental results in previous work. The model showed to predict the cutting process parameters with a high level of accuracy. The predicted Johnson-Cook constitutive model constants in the present study achieve an error between simulated- and experimental cutting process parameters of maximum 2%. The method described in this study is not limited to identify Johnson-Cook constitutive model constants, but the method can also be used for other constitutive models. The same applies to the process itself and the selected cutting process parameters, but orthogonal cutting has been used to illustrate and validate this method. (Less)

[1]  Pedro J. Arrazola,et al.  Analysis of the inverse identification of constitutive equations applied in orthogonal cutting process , 2007 .

[2]  D. Agard,et al.  Microtubule nucleation by γ-tubulin complexes , 2011, Nature Reviews Molecular Cell Biology.

[3]  Yancheng Zhang,et al.  Chip formation in orthogonal cutting considering interface limiting shear stress and damage evolution based on fracture energy approach , 2011 .

[4]  Jan-Eric Ståhl,et al.  The Link Between Plasticity Parameters and the Process Parameters in Orthogonal Cutting , 2013 .

[5]  Bob Svendsen,et al.  Simulation of chip formation during high-speed cutting , 2007 .

[6]  Tuğrul Özel,et al.  Finite element modeling the influence of edge roundness on the stress and temperature fields induced by high-speed machining , 2007 .

[7]  Tuğrul Özel,et al.  Journal of Materials Processing Technology Computational Modelling of 3d Turning: Influence of Edge Micro-geometry on Forces, Stresses, Friction and Tool Wear in Pcbn Tooling , 2022 .

[8]  J. Ståhl,et al.  A Numerical and Experimental Investigation of the Deformation Zones and the Corresponding Cutting Forces in Orthogonal Cutting , 2011 .

[9]  T. I. El-Wardany,et al.  Modelling the Effects of Flank Wear Land and Chip Formation on Residual Stresses , 2004 .

[10]  G. R. Johnson,et al.  Fracture characteristics of three metals subjected to various strains, strain rates, temperatures and pressures , 1985 .

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

[12]  Shigeru Aoki,et al.  Identification of Gurson's material constants by using Kalman filter , 1997 .

[13]  Matthew A. Davies,et al.  On the measurement and prediction of temperature fields In machining AISI 1045 steel , 2003 .

[14]  R. M'Saoubi,et al.  MODELLING OF MATERIAL FLOW STRESS IN CHIP FORMATION PROCESS FROM ORTHOGONAL MILLING AND SPLIT HOPKINSON BAR TESTS , 2005 .

[15]  Toshio Nakamura,et al.  Identification of elastic-plastic anisotropic parameters using instrumented indentation and inverse analysis , 2007 .

[16]  Olivier Dalverny,et al.  2D AND 3D NUMERICAL MODELS OF METAL CUTTING WITH DAMAGE EFFECTS. , 2004 .

[17]  J. A. Arsecularatne,et al.  Assessment of Constitutive Equations Used in Machining , 2004 .

[18]  Paul Mativenga,et al.  An experimental and coupled thermo-mechanical finite element study of heat partition effects in machining , 2010 .

[19]  Alexandre Delalleau,et al.  Characterization of the mechanical properties of skin by inverse analysis combined with the indentation test. , 2006, Journal of biomechanics.

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

[21]  Tarek Mabrouki,et al.  A contribution to a qualitative understanding of thermo-mechanical effects during chip formation in hard turning , 2006 .

[22]  Eckart Uhlmann,et al.  Finite Element Modeling and Cutting Simulation of Inconel 718 , 2007 .

[23]  Tarek Mabrouki,et al.  Numerical and experimental study of dry cutting for an aeronautic aluminium alloy (A2024-T351) , 2008 .

[24]  Giulio Maier,et al.  Parameter identification in anisotropic elastoplasticity by indentation and imprint mapping , 2005 .

[25]  Mohamed A. Elbestawi,et al.  From the basic mechanics of orthogonal metal cutting toward the identification of the constitutive equation , 2002 .