DAMASK – The Düsseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale

Autor: Duancheng Ma, Nicolò Grilli, Dierk Raabe, P. J.J. Kok, Su Leen Wong, Tias Maiti, Pratheek Shanthraj, Svetoslav Nikolov, A. Ebrahimi, Felix Meier, C. Reuber, Franz Roters, Martin Friák, K.G.F. Janssens, Helge-Otto Fabritius, Ewald Werner, Daniel Weygand, N. Fujita, Markus Stricker, Phillip Eisenlohr, Thomas Hochrainer, N. Jia, Martin Diehl
Jazyk: angličtina
Rok vydání: 2019
Předmět:
State variable
Technology
General Computer Science
Crystal plasticity
Materials Science
General Physics and Astronomy
Mechanical engineering
Materials Science
Multidisciplinary

CENTERED-CUBIC METALS
02 engineering and technology
Plasticity
010402 general chemistry
01 natural sciences
Homogenization (chemistry)
SPECTRAL METHOD SOLUTION
Thermal
Initial value problem
General Materials Science
Engineering & allied operations
Science & Technology
STRESS YIELD FUNCTION
business.industry
STACKING-FAULT ENERGY
LOBSTER HOMARUS-AMERICANUS
SLIP SYSTEMS INTERACTIONS
DISLOCATION DYNAMICS SIMULATIONS
General Chemistry
Modular design
Strain hardening exponent
Open source software
021001 nanoscience & nanotechnology
0104 chemical sciences
ddc
Computational Mathematics
Mechanics of Materials
Heat generation
Multi-physics
DEFORMATION TEXTURE PREDICTION
IN-SITU OBSERVATION
CONSTRAINED SURFACE MICROSTRUCTURE
ddc:620
0210 nano-technology
business
Simulation
Zdroj: Computational Materials Science
BASE-Bielefeld Academic Search Engine
Computational materials science, 158, 420–478
Roters, F, Diehl, M, Shanthraj, P, Eisenlohr, P, Reuber, C, Wong, S L, Maiti, T, Ebrahimi, A, Hochrainer, T, Fabritius, H O, Nikolov, S, Friák, M, Fujita, N, Grilli, N, Janssens, K G F, Jia, N, Kok, P J J, Ma, D, Meier, F, Werner, E, Stricker, M, Weygand, D & Raabe, D 2019, ' DAMASK – The Düsseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale ', Computational Materials Science, vol. 158, pp. 420-478 . https://doi.org/10.1016/j.commatsci.2018.04.030
ISSN: 0927-0256
DOI: 10.5445/ir/1000094133
Popis: © 2018 The Author(s) Crystal Plasticity (CP) modeling is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in polycrystalline aggregates. However, when considering the increasingly complex microstructural composition of modern alloys and their exposure to—often harsh—environmental conditions, the focus in materials modeling has shifted towards incorporating more constitutive and internal variable details of the process history and environmental factors into these structure–property relations. Technologically important fields of application of enhanced CP models include phase transformations, hydrogen embrittlement, irradiation damage, fracture, and recrystallization. A number of niche tools, containing multi-physics extensions of the CP method, have been developed to address such topics. Such implementations, while being very useful from a scientific standpoint, are, however, designed for specific applications and substantial efforts are required to extend them into flexible multi-purpose tools for a general end-user community. With the Düsseldorf Advanced Material Simulation Kit (DAMASK) we, therefore, undertake the effort to provide an open, flexible, and easy to use implementation to the scientific community that is highly modular and allows the use and straightforward implementation of different types of constitutive laws and numerical solvers. The internal modular structure of DAMASK follows directly from the hierarchy inherent to the employed continuum description. The highest level handles the partitioning of the prescribed field values on a material point between its underlying microstructural constituents and the subsequent homogenization of the constitutive response of each constituent. The response of each microstructural constituent is determined, at the intermediate level, from the time integration of the underlying constitutive laws for elasticity, plasticity, damage, phase transformation, and heat generation among other coupled multi-physical processes of interest. Various constitutive laws based on evolving internal state variables can be implemented to provide this response at the lowest level. DAMASK already contains various CP-based models to describe metal plasticity as well as constitutive models to incorporate additional effects such as heat production and transfer, damage evolution, and athermal transformations. Furthermore, the implementation of additional constitutive laws and homogenization schemes, as well as the integration of a wide class of suitable boundary and initial value problem solvers, is inherently considered in its modular design. ispartof: COMPUTATIONAL MATERIALS SCIENCE vol:158 pages:420-478 status: published
Databáze: OpenAIRE