Modelling a Response of Complex-Phase Steel at High Strain Rates.

Materials (Basel)

Faculty of Mechanical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia.

Published: May 2024

AI Article Synopsis

  • This article discusses the modeling of high-strength steel SZBS800's response to strain rates using a combination of standard tensile tests and a unique method involving shooting a ball into specimens.
  • The authors employed the Cowper-Symonds viscoplastic model to factor in strain-rate effects and estimated its parameters through a systematic procedure involving rough estimates and fine-tuning techniques.
  • Optimal parameter values were determined using explicit dynamic simulations and a genetic algorithm, effectively capturing the material's response, although the optimal candidates spanned a wide range for some parameters.

Article Abstract

In this article, a response of the complex-phase high-strength steel SZBS800 was modelled by considering the strain-rate influence. The material's response was first measured with a series of standard tensile tests at lower strain rates. Higher strain rates were achieved using the unconventional test of shooting the ball into flat specimens. A viscoplastic formulation of the Cowper-Symonds material model was applied to consider the strain-rate effects. The parameters , , and of the material model were estimated using a step-wise procedure. First, rough estimates of the three parameters were obtained from the tensile tests using the grid search method. Then, the parameters and were fine-tuned using the reverse engineering approach. With the help of explicit dynamic simulations and all the experimental data, a multi-criteria cost function was defined and applied to obtain a smooth response function for the parameters and . Its optimum was determined by a real-valued genetic algorithm. The optimal values of the estimated parameters model the material response well, although a domain of optimum candidates spans two orders of magnitude for the parameter and a few orders of magnitude for the parameter .

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11122987PMC
http://dx.doi.org/10.3390/ma17102302DOI Listing

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