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Benchmark of a forging process with a hammer: comparison between fem simulation results and real part shapes using 3D digitising scanner

Published online by Cambridge University Press:  20 July 2011

Carl Labergère ,
Sébastien Remy ,
Pascal Lafon ,
Arnaud Delespierre ,
Laurent Daniel  and
Gao Kang
Carl Labergère*
Affiliation:
University of Technology of Troyes, ICD/LASMIS, UMR STMR 6279, 12 rue Marie Curie, BP 2060, 10010 Troyes, France
Sébastien Remy
Affiliation:
University of Technology of Troyes, ICD/LASMIS, UMR STMR 6279, 12 rue Marie Curie, BP 2060, 10010 Troyes, France
Pascal Lafon
Affiliation:
University of Technology of Troyes, ICD/LASMIS, UMR STMR 6279, 12 rue Marie Curie, BP 2060, 10010 Troyes, France
Arnaud Delespierre
Affiliation:
Estamfor, Design and Process, 32 rue de l’Espérance, BP 27, 08800 Les Hautes Rivières, France
Laurent Daniel
Affiliation:
University of Technology of Troyes, ICD/LASMIS, UMR STMR 6279, 12 rue Marie Curie, BP 2060, 10010 Troyes, France
Gao Kang
Affiliation:
University of Technology of Troyes, ICD/LASMIS, UMR STMR 6279, 12 rue Marie Curie, BP 2060, 10010 Troyes, France
*
aCorresponding author: carl.labergere@utt.fr
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Abstract

As 3D scanners and numerical simulation are now mature, we have made a benchmark by comparing simulation results with real forged parts. We did consider the complete forging process of a cylindrical part using hammer from the billet to the final part. This process has been simulated using a thermo-elasto-viscoplastic constitutive equation including the ductile damage with the implemented with the help of VUMAT subroutine provided by ABAQUS software. Before and after each step, the forged part is scanned and compared with the result of the FEM simulation in order to tune some of the process numerical simulation parameters.

Keywords

Numerical simulationFEMthermo-elasto-viscoplasticityductile damage3D scanningforgingSimulation numériqueMEFthermo-visco-plasticitéendommagementnumérisation 3Dforgeage
Type
Research Article
Information
Mechanics & Industry , Volume 12 , Issue 3: CFM 2011 , 2011 , pp. 215 - 222
Copyright
© AFM, EDP Sciences 2011

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References

Andrade Pires, F.M., César de Sá, J.M.A., Costa Sousa, L., Natal Jorge, R.M., Numerical modelling of ductile plastic damage in bulk metal forming, Int. J. Mech. Sci. 45 (2003) 273–294 CrossRefGoogle Scholar
Bang, W., Lee, C.S., Chang, Y.W., Finite element analysis of hot forging with flow softening by dynamic recrystallisation, J. Mater. Process. Technol. 134 (2003) 153–158 CrossRefGoogle Scholar
Chang, C.C., Bramley, A.N., Determination of the heat transfer coefficient at the workpiece-die interface for the forging process, J. Eng. Manuf. 216 (2002) 11979–21186 CrossRefGoogle Scholar
Coupez, T., Soyris, N., Chenot, J.-L., Three-dimensional finite element modelling of the forging process with automatic re-meshing, J. Mater. Process. Technol. 27 (1991) 119–133 CrossRefGoogle Scholar
Hartley, P., Pillinger, I., Development of computational modelling techniques for industrial metal forming processes, J. Eng. Manuf. 215 (2001) 903–914 CrossRefGoogle Scholar
Hartley, P., I. Pillinger. Numerical simulation of the forging process, Comput. Methods Appl. Mech. Eng. 195 (2006) 6676–6690 CrossRefGoogle Scholar
Issa M., M., Saanouni, K., Labergère, C., Rassineux, A., Prediction of serrated chip formation in orthogonal metal cutting by advanced adaptive 2D numerical methodology., Int. J. Mach. Mach. Mat. 9 (2011) 295–315 Google Scholar
Kim, Y.H., Ryou, T.K., Choi, H.J., Hwang, B.B., An analysis of the forging process for 6061 aluminium-alloy wheels, J. Mater. Process. Technol. 123 (2002) 270–276 CrossRefGoogle Scholar
S. Kobayashi, S.-I. Oh, T. Altan, Metal Forming and the Finite Elements Methods, pages 1–6, Oxford University Press, New York, 1981
C. Labergere, A. Rassineux, K. Saanouni, 2D adaptive mesh methodology for the simulation of metal forming processes with damage, 2011, DOI 10.1007/s12289-010-1001-z, article in Press
Labergere, C., Lestriez, P., Saanouni, K., Numerical design of extrusion process using finite thermoelastoviscoplasticity with damage, Prediction of chevron shaped cracks, KME 424 (2010) 265–272 Google Scholar
Lin, Y.C., Chen, M.S., Zhong, J., Effects of deformation temperatures on stress/strain distribution and microstructural evolution of deformed 42CrM0 stell, Mater. Eng. 30 (2009) 908–913 Google Scholar
Lin, Y.C., Chen, M.S., Zhong, J., Prediction of 42CrMo steel flow stress at high temperature and strain rate, Mech. Res. Commun. 35 (2008) 142–150 CrossRefGoogle Scholar
Mariage, J., Saanouni, K., Lestriez, P., Cherouat, A., Numerical simulation of ductile damage in metal forming processes, A simple predictive model, theoretical and numerical aspects, Int. J. Form. Process. 5 (2002) 363–376 CrossRefGoogle Scholar
Mocellin, K., Fourment, L., Coupez, T., Chenot, J.L., Toward large scale FE computation of hot forging process using iterative solvers, parallel computation and multigrid algorithms, Int. J. Numer. Methods Eng. 52 (2001) 473–488 CrossRefGoogle Scholar
K. Saanouni, J.L. Chaboche, Application to Metal Forming, Computational Damage Mechanics, Numerical and Computational methods. in Comprehensive Structural Integrity, (ed.) I. Milne, R.O. Ritchie, B. Karihaloo, 3, 2003
R.H. Wagoner, J.-L. Chenot, Metal forming analysis, Cambridge University Press, Cambridge, 2001
Derigent, W., Chapotot, E., Remy, S., Bernard, A., Ris, G., 3D digitising strategy planning approach based on a CAD Model, J. Comput. Inf. Sci. Eng. 7 (2007) 10–19 CrossRefGoogle Scholar