Open Access
Issue
EPJ Web Conf.
Volume 250, 2021
DYMAT 2021 - 13th International Conference on the Mechanical and Physical Behaviour of Materials under Dynamic Loading
Article Number 02003
Number of page(s) 10
Section Modelling & Numerical Simulation
DOI https://doi.org/10.1051/epjconf/202125002003
Published online 09 September 2021
  1. L. Peroni, M. Scapin, C. Fichera, An advanced identification procedure for material model parameters based on image analysis, 10th European LS-DYNA Conference 2015, Würzburg, Germany (2015). [Google Scholar]
  2. M. Sasso, M. Fardmoshiri, E. Mancini, M. Rossi, L. Cortese. High speed imaging for material parameters calibration at high strain rate. The European Physical Journal Special Topics, 225(2), 295-309 (2016) [Google Scholar]
  3. P. W. Bridgman, Studies in large plastic flow and fracture (Vol. 177). New York: McGrawHill (1952) [Google Scholar]
  4. G. Mirone, Approximate model of the necking behaviour and application to the void growth prediction, International Journal of Damage Mechanics, 13(3), 241-261 (2004) [Google Scholar]
  5. G. Mirone, P. Verleysen, R. Barbagallo, Tensile testing of metals: Relationship between macroscopic engineering data and hardening variables at the semi-local scale, International Journal of Mechanical Sciences, 150, 154-167 (2019) [Google Scholar]
  6. R. Kapoor, S. Nemat-Nasser, Determination of temperature rise during high strain rate deformation. Mechanics of materials, 27(1), 1-12 (1998) [Google Scholar]
  7. S. M. Walley, W. G. Proud, P. J. Rae, J. E. Field, Comparison of two methods of measuring the rapid temperature rises in split Hopkinson bar specimens, Review of scientific instruments, 71(4), 1766-1771 (2000) [Google Scholar]
  8. C. Jovic, D. Wagner, P. Herve, G. Gary, L. Lazzarotto, Mechanical behaviour and temperature measurement during dynamic deformation on split Hopkinson bar of 304L stainless steel and 5754 aluminium alloy. In Journal de Physique IV (Proceedings) (Vol. 134, pp. 1279-1285). EDP sciences (2006) [Google Scholar]
  9. D. Rittel, L. H. Zhang, S. Osovski, The dependence of the Taylor–Quinney coefficient on the dynamic loading mode. Journal of the Mechanics and Physics of Solids, 107, 96-114 (2017) [Google Scholar]
  10. G. Mirone, R. Barbagallo, D. Corallo, S. Di Bella, Static and dynamic response of titanium alloy produced by electron beam melting. Procedia Structural Integrity, 2, 2355-2366 (2016) [Google Scholar]
  11. G. Mirone, D. Corallo, R. Barbagallo, Interaction of strain rate and necking on the stress-strain response of uniaxial tension tests by Hopkinson bar, Procedia Structural Integrity, 2, 974-985 (2016) [Google Scholar]
  12. G. Mirone, R. Barbagallo, F. Giudice, Locking of the strain rate effect in Hopkinson bar testing of a mild steel. International Journal of Impact Engineering, 130, 97-112 (2019) [Google Scholar]
  13. G. Mirone, R. Barbagallo, F. Giudice, S. Di Bella, Analysis and modelling of tensile and torsional behaviour at different strain rates of Ti6Al4V alloy additive manufactured by electron beam melting (EBM). Materials Science and Engineering: A, 793, 139916 (2020) [Google Scholar]
  14. L. Zhang, A. Pellegrino, D. Townsend, N. Petrinic, Strain rate and temperature dependent strain localization of a near α titanium alloy, International Journal of Impact Engineering, 145, 103676 (2020) [Google Scholar]
  15. L. H. Zhang, A. Pellegrino, N. Petrinic, Dynamic necking of a near α titanium alloy at high strain rates: Experiments and modelling. Defence Technology (2020) [Google Scholar]
  16. G. Mirone, R. Barbagallo, How sensitivity of metals to strain, strain rate and temperature affects necking onset and hardening in dynamic tests. International Journal of Mechanical Sciences, 195, 106249 (2021) [Google Scholar]

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