An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress-strain curves
| Autor: | Franz Roters, Martin Diehl, Dierk Raabe, Karo Sedighiani, Konstantina Traka, Jilt Sietsma |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Optimization
Technology Polycrystals Materials science Parameter identification Crystal plasticity Materials Science FCC METALS Materials Science Multidisciplinary ALPHA-TITANIUM 02 engineering and technology Mechanics 01 natural sciences Software Engineering 0103 physical sciences Genetic algorithm Redundancy (engineering) General Materials Science Response surface methodology 010302 applied physics CRYSTALLOGRAPHIC DISLOCATION DENSITY Science & Technology Deformation (mechanics) IDENTIFICATION business.industry Mechanical Engineering 021001 nanoscience & nanotechnology Engineering Mechanical LOCALIZED DEFORMATION MODEL Creep TEMPERATURE-DEPENDENCE Mechanics of Materials Macroscopic scale Law SINGLE-CRYSTALS CENTERED-CUBIC MATERIALS 0210 nano-technology business Crystal twinning |
| Zdroj: | International Journal of Plasticity, 134 International Journal of Plasticity |
| ISSN: | 0749-6419 |
| Popis: | A severe obstacle for the routine use of crystal plasticity models is the effort associated with determining their constitutive parameters. Obtaining these parameters usually requires time-consuming micromechanical tests that allow probing of individual grains. In this study, a novel, computationally efficient, and fully automated approach is introduced which allows the identification of constitutive parameters from macroscopic tests. The approach presented here uses the response surface methodology together with a genetic algorithm to determine an optimal set of parameters. It is especially suited for complex models with a large number of parameters. The proposed approach also helps to develop a quantitative and thorough understanding of the relative influence of the different constitutive parameters and their interactions. Such general insights into parameter relations in complex models can be used to improve constitutive laws and reduce redundancy in parameter sets. The merits of the methodology are demonstrated on the examples of a dislocation-density-based crystal plasticity model for bcc steel, a phenomenological crystal plasticity model for fcc copper, and a phenomenological crystal plasticity model incorporating twinning deformation for hcp magnesium. The approach proposed is, however, model-independent and can be also used to identify parameters of, for instance, fatigue, creep and damage models. The method has been implemented into the Dusseldorf Advanced Material Simulation Kit (DAMASK) and is available as free and open-source software. The capability of translating complex material response into a micromechanical digital twin is an essential precondition for the ongoing digitalization of material property prediction, quality control of semi-finished parts, material response in manufacturing and the long-term behavior of products and materials when in service. |
| Databáze: | OpenAIRE |
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