Título
In-situ analysis of the elastic-plastic characteristics of high strength dual-phase steelAutor-a
Autor-a (de otra institución)
Otras instituciones
Technische Universität MünchenInstitute of Materials Physics, Geesthacht
Versión
Version publicada
Derechos
© 2022 The AuthorsAcceso
Acceso abiertoVersión del editor
https://doi.org/10.1016/j.msea.2022.144097Publicado en
Materials Science and Engineering: A. Article 144097. Available online 30 September, 2022Editor
ElsevierPalabras clave
high-strength steelElastic-plastic material behavior
In-situ diffraction
Evaluation approach
Resumen
Modeling the elastic behavior of dual-phase steels is complex due to the strain dependency of Young's modulus and high elastic nonlinearity. Since it is assumed that reasons for this are to be found i ... [+]
Modeling the elastic behavior of dual-phase steels is complex due to the strain dependency of Young's modulus and high elastic nonlinearity. Since it is assumed that reasons for this are to be found in microstructural behavior, microscopic in-situ analysis are necessary, but due to the overlap of the martensite and ferrite peaks, the evaluation of diffraction profiles is highly complex. Within this work, CR590Y980T (DP1000) is investigated in a continuous cyclic tensile and tension-compression test under synchrotron radiation at High Energy Material Science beamline P07 in Petra III, DESY. On basis of additional EBSD measurements, an evaluation approach is shown to analyze the dual-phase diffraction profiles in such a way that martensite and ferrite can be separated for three lattice planes. The origin of the specific elastic-plastic behavior of dual-phase steels in terms of onset of yielding, anelasticity or early re-yielding is analyzed on the basis of lattice strains and interphase stresses. For this, the time-synchronously measured micro data is correlated with the macro stress-strain relationship and thermoelastic effect. The results help to better understand strain-dependent elastic-plastic behavior of DP steels on a micro level and provide great potential to improve characterization and modeling in terms of springback prediction. [-]
Colecciones
- Artículos - Ingeniería [684]
El ítem tiene asociados los siguientes ficheros de licencia: