<p>This article shows the results of mathematical and simulation modeling of physical processes that occur during the study of the electroplastic effect in metals. The process of discharging a&#xa0;capacitor bank through a&#xa0;sample in the form of a&#xa0;copper wire was subjected to numerical and computer modeling. The electroplastic effect is a&#xa0;phenomenon in which a&#xa0;decrease in yield strength occurs under the influence of an electric current. It is necessary to measure pulse currents of large magnitude, not only in amplitude, but also in the shape of the pulse. Differential equations describing current curves are derived. Using the least squares method and the discrete Fourier transform, the inductance and resistance parameters of the entire system were estimated. The total capacity of the capacitor bank is determined numerically, with an error of no more than 2%. Two identical simulation models have been developed for the calculated parameters in the MatLab software package and the SimInTech environment. The simulation results are compared with the current curve obtained during field tests under the same initial conditions.</p>

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Mathematical and simulation modeling in the study of the electroplastic effect in metals

  • Alexander S. Semenov,
  • Mariya N. Semenova,
  • Yuri V. Bebikhov,
  • Ilya A. Yakushev

摘要

This article shows the results of mathematical and simulation modeling of physical processes that occur during the study of the electroplastic effect in metals. The process of discharging a capacitor bank through a sample in the form of a copper wire was subjected to numerical and computer modeling. The electroplastic effect is a phenomenon in which a decrease in yield strength occurs under the influence of an electric current. It is necessary to measure pulse currents of large magnitude, not only in amplitude, but also in the shape of the pulse. Differential equations describing current curves are derived. Using the least squares method and the discrete Fourier transform, the inductance and resistance parameters of the entire system were estimated. The total capacity of the capacitor bank is determined numerically, with an error of no more than 2%. Two identical simulation models have been developed for the calculated parameters in the MatLab software package and the SimInTech environment. The simulation results are compared with the current curve obtained during field tests under the same initial conditions.