Discrete dislocation dynamics

Boioli, Francesca; Devincre, Benoît; Fivel, M.

doi:10.1016/b978-0-12-819357-0.00021-4

Cited by 2 publications

(3 citation statements)

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“…Besides their implications on mesoscale simulation methods, such as DDD, this work helps provide crystal plasticity (CP) scale models with guidance on up-scaling of meso-scale simulations that would enable accurate CP-FEM simulations of AM printed parts. 20 3 , 50 3 , and 75 3 voxels for the 20 3 µm 3 , 50 3 µm 3 , and 75 3 µm 3 simulation cells, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Three-dimensional (3D) discrete dislocation dynamics (DDD) simulations are commonly used to investigate the underlying mechanisms governing the evolution of ensembles of crystalline defects and their effect on plasticity and the mechanical properties of crystalline materials [2,3]. Such 3D DDD simulations therefore provide a mesoscale modeling framework that bridges the gap in fundamental understanding of the evolution of dislocation plasticity between atomic and continuum computational methods.…”

Section: Introductionmentioning

confidence: 99%

“…The 3D DDD simulations then focus on quantifying the relationship between the simulation volume sizes, periodic boundary conditions, and the corresponding dislocation structure formation to formulate criteria what would enable the identification of the proper RVE size. The 3D DDD simulations employ extraordinarily large cubical simulation cells ranging in size from 20 3 to 75 3 µm 3 . In the current context, an RVE refers to a simulation volume that is the smallest structural element of a larger bulk system that still incorporates all relevant characteristics of the overall evolving dislocation structure, i.e.…”

Section: Introductionmentioning

confidence: 99%

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Modeling the evolution of representative dislocation structures under high thermo-mechanical conditions during Additive Manufacturing of Alloys

Sudmanns¹,

Iliopoulos²,

Birnbaum³

et al. 2023

Preprint

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Mesoscale simulations of discrete defects in metals provide an ideal framework to investigate the micro-scale mechanisms governing the plastic deformation under high thermal and mechanical loading conditions. To bridge size and time-scale while limiting computational effort, typically the concept of representative volume elements (RVEs) is employed. This approach considers the microstructure evolution in a volume that is representative of the overall material behavior. However, in settings with complex thermal and mechanical loading histories careful consideration of the impact of modeling constraints in terms of time scale and simulation domain on predicted results is required. We address the representation of heterogeneous dislocation structure formation in simulation volumes using the example of residual stress formation during cool-down of laser powder-bed fusion (LPBF) of AISI 316L stainless steel. This is achieved by a series of large-scale threedimensional discrete dislocation dynamics (DDD) simulations assisted by thermo-mechanical finite element modeling of the LPBF process. Our results show that insufficient size of periodic simulation domains can result in dislocation patterns that reflect the boundaries of the primary cell. More pronounced dislocation interaction observed for larger domains highlight the significance of simulation domain constraints for predicting mechanical properties. We formulate criteria that characterize representative volume elements by capturing the conformity of the dislocation structure to the bulk material. This work provides a basis for future investigations of heteroge- *

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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