Input Data Determination for Large Strain Simulations


Article Preview

Numerical simulations are widely used for forming processes optimizations nowadays. They significantly contribute to improvement of forgings quality and production costs reduction. The crucial points of the numerical simulations are material input data and implemented material models. The paper is dealing with overview of methods for the input data measurement. There are discussed tests with various options of strain measurements as well as modifications of compression tests. Part of the paper is dealing with 3D strain measurements by Digital Image Correlation (DIC) enabling local strains measurements. DIC enables direct comparison of strains experimentally measured and strains obtained by numerical simulations, which is going to be presented. Finally, possibilities of complex material description considering plastic damage are presented. The last approach is the most accurate providing the most information on material behavior for FEM simulation, the procedure includes measurements on samples of various geometries with various stress strain conditions. Examples of sample sets for these measurements are shown here together with material models describing multiaxial plastic flow and damage.



Edited by:

Praseetha Ramakrishnan and Dayun Xu






J. Džugan et al., "Input Data Determination for Large Strain Simulations", Applied Mechanics and Materials, Vol. 751, pp. 124-130, 2015

Online since:

April 2015




* - Corresponding Author

[1] http: /en. wikipedia. org/wiki/Ramberg%E2%80%93Osgood_relationship.

[2] http: /en. wikipedia. org/wiki/Viscoplasticity.

[3] Bai, Y., Wierzbicki, T. (2008). A new model of metal plasticity and fracturewith pressure and Lode dependence, International Journal of Plasticity 24, 1071–1096.

DOI: 10.1016/j.ijplas.2007.09.004

[4] Dzugan, J., Prantl, A., Spaniel, M., , Konopik, P., Ruzicka, J., Kuzelka, J.: Identification of ductile damage parameters for pressure vessel steel, SMiRT-22, 18-30 September 2013, San Francisco, USA, (2013).

DOI: 10.1016/j.nucengdes.2015.12.014

[5] Petr Kubík, P., Šebek, F., Petruška, J., Hůlka, J., Růžička, J., Španiel, M., Džugan, J., Prantl, A.: Calibration of Selected Ductile Fracture Criteria Using Two Types of Specimens, Key Engineering Materials, ISSN: 1662-9795, 2013, Vol. 592-593, pp.258-261.

DOI: 10.4028/

[6] M. Španiel, A. Prantl, J. Džugan, J. Růžička, M. Moravec, J. Kuželka: Calibration of fracture locus in scope of uncoupled elastic–plastic-ductile fracture material models, Advances in Engineering Software, Volume 72, June 2014, Pages 95–108, DOI: 10. 1016/j. advengsoft. 2013. 05. 007.

DOI: 10.1016/j.advengsoft.2013.05.007

[7] http: /www. messphysik. com/index. php?id=4&L=1.

[8] Džugan, J., Zemko, M.: Input data influence on FEM simulation of steam turbine blades materials hot forming, 2013, Materials Science Forum, ISSN: 1662-9752, 773-774, pp.79-88.

DOI: 10.4028/

In order to see related information, you need to Login.