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<title>Experimental data and FE-model for tensile tests of DC06 at high strain rates</title>
<link>https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5833</link>
<description>In high strain rate forming processes two superposing and opposing effects influence the flow stress of the material: strain rate hardening and thermal softening due to adiabatic heating. The presented FE-model and experimental results are based on https://doi.org/10.3390/app12052299 where uniaxial tensile tests at different high strain rates are analyzed experimentally and numerically to understand the influence of adiabatic heating of the workpiece during deformation under high-speed loading. A thermal camera and a pyrometer were used for temperature measurement in the fracture region in addition to the measurement of force and elongation. The numerical simulations are carried out in LS-Dyna using the GISSMO model for modeling damage and failure.</description>
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<dc:date>2026-04-06T12:18:23Z</dc:date>
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<title>Forming at high strain rates Part 2: Analysis of adiabatic heating based on tensile tests of DC06</title>
<link>https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5983</link>
<description>Forming at high strain rates Part 2: Analysis of adiabatic heating based on tensile tests of DC06
Tulke, Marc; Galiev, Elmar
In high strain rate forming processes two superposing and opposing effects influence the flow stress of the material: strain rate hardening and thermal softening due to adiabatic heating. The presented FE-model and experimental results are based on https://doi.org/10.3390/app12052299 where uniaxial tensile tests at different high strain rates are analyzed experimentally and numerically to understand the influence of adiabatic heating of the workpiece during deformation under high-speed loading. A thermal camera and a pyrometer were used for temperature measurement in the fracture region in addition to the measurement of force and elongation. The numerical simulations are carried out in LS-Dyna using the GISSMO model for modeling damage and failure. The used inverse parameter identification is first presented in  https://doi.org/10.3390/jmmp4020031 and the associated data is published in http://dx.doi.org/10.25532/OPARA-246.
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<dc:date>2023-01-01T00:00:00Z</dc:date>
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