Material Behavior Simulation of 42CrMo4 Steel

Marina Franulovic, Robert Basan, Kristina Markovic

2016

Abstract

It is becoming increasingly important to make possible constitutive modelling and simulation of material behaviour for the prediction of possible failures in material. This can allow to the optimization of design of highly loaded engineering components. In order to achieve that goal, material parameters should be accurately determined for the chosen material model. The major step in material parameters identification is material behaviour simulation. The procedure of material behaviour simulation is based on the results of the fatigue testing on the materials’ samples. The paper presents the procedures required for the material behaviour simulation of 42CrMo4 steel, starting from the fatigue testing, through numerical procedures related to complex material model, which results in material parameters identification, to the validation of described procedures by comparison of the simulated and real materials response in cyclic loading conditions.

References

  1. Bari, S., Hassan, T., 2000. Anatomy of Coupled Constitutive Models for Racheting Simulation, Int. J. Plasticity 16, 381-409.
  2. Bari, S., Hassan, T., 2002. An advancement in cyclic plasticity modeling for multiaxial ratcheting simulation, Int. J. Plasticity 18, 873-894.
  3. Chaboche, J. L., 2008. A review of some plasticity and viscoplasticity constitutive theories, Int. J. Plasticity 24-10, 1642-1693.
  4. E606 - 92, 1992., reapproved 1998., Standard Practice for Strain - Controlled Fatigue Testing, ASTM International standard.
  5. Fedele, R., Filippini, M., Maier, G., 20085. Constitutive model for railway wheel steel through tension-torsion tests, Comp. Struct. 83.
  6. Feng X. T., Yang, C., 2001., Genetic evolution of nonlinear material constitutive models, Computer Methods in Applied Mechanics and Engineering 190.
  7. Franulovic, M., Basan, R., Kunc, R., Prebil, I., 2010. Automation of LCF material model parameters' identification, Comp. Mater. Sci. 48-3, 529-536.
  8. Franulovic, M., Basan, R., Prebil, I., 2009. Genetic algorithm in material model parameters' identification for low-cycle fatigue, Comp. Mater. Sci. 45-2, 505- 510.
  9. Furukawa, T., Yagawa, G., 1997. Inelastic Constitutive Parameter Identification using an Evolutionary Algorithm with Continuous Individuals, Int. J. Numer. Meth. Eng. 40-6, 1071-1090.
  10. Hernandez C., MaranonA., Ashcroft I. A., CasasRodriguez J.P., 2012. Inverse methods for the mechanical characterization of materials at high strain rates, EPJ Web of Conferences 26, 04022.
  11. Lemaitre, J., 1996., A Course on Damage Mechanics, Springer.
  12. Lemaitre, J., Chaboche, J. L., 1990. Mechanics of Solid Materials, Cambridge University Press, 1990.
  13. Mahmoudi, A. H., Pezeshki-Najafabadi, S. M., Badnava, H., 2011. Parameter determination of Chaboche kinematic hardening model using a multi objective Genetic Algorithm, Comp. Mater. Sci. 50-3, 1114- 1122.
  14. Pohlheim, H., 1999., Evolutionary Algorithms: Overview, Methods and Operators, Technical report.
  15. Tarantola, A., 2005. Inverse Problem Theory and Methods for Model Parameter Estimation, Siam.
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Paper Citation


in Harvard Style

Franulovic M., Basan R. and Markovic K. (2016). Material Behavior Simulation of 42CrMo4 Steel . In Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-199-1, pages 291-296. DOI: 10.5220/0005995402910296


in Bibtex Style

@conference{simultech16,
author={Marina Franulovic and Robert Basan and Kristina Markovic},
title={Material Behavior Simulation of 42CrMo4 Steel},
booktitle={Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2016},
pages={291-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005995402910296},
isbn={978-989-758-199-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Material Behavior Simulation of 42CrMo4 Steel
SN - 978-989-758-199-1
AU - Franulovic M.
AU - Basan R.
AU - Markovic K.
PY - 2016
SP - 291
EP - 296
DO - 10.5220/0005995402910296