Dislocation multiplication in stage II deformation of fcc multi-slip single crystals

Stricker, Markus; Sudmanns, Markus; Schulz, Katrin; Hochrainer, Thomas; Weygand, D.

doi:10.1016/j.jmps.2018.07.003

Cited by 39 publications

(80 citation statements)

References 43 publications

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“…[19,20,21]. However, the picture of a fixed source, which repeatedly produces new dislocations contradicts the observation of dislocation multiplication in a regime, which is characterized by complex dislocation networks and multiple active slip systems [1]. Note also, that no detachment of dislocations from their initial site (either glissile junction or cross-slip position) were observed in the recent DDD study.…”

Section: Introductionmentioning

confidence: 89%

“…However, the complexity of dislocation interactions during work-hardening have as yet precluded the development of a dislocation-based theory of work hardening in single crystals. Recent Discrete Dislocation Dynamics (DDD) simulations reveal details of dislocation multiplication in face-centered cubic (fcc) single crystals which question traditional pictures of and models for dislocation multiplication and work-hardening in crystal plasticity [1]. The most important findings of the named study are (i) dislocation multiplication in the sense of emergence of "new" dislocation loops, as opposed to mere line-length increase, is exclusively due to crossslip and the formation of glissile junctions.…”

Section: Introductionmentioning

confidence: 98%

“…A deposition of reaction products on inactive slip systems, as observed e.g. in [1], may therefore not be reproduced from these terms.…”

Section: Introductionmentioning

confidence: 99%

“…It may not be surprising that phenomenological models, as the one by Kocks and Mecking and its derivates, which are necessarily ignorant to microscopic details, do not comply with the latter. But also recent models which seek for a detailed representation of dislocation kinematics do not yet reflect the observations of [1]. Arsenlis and Parks [8] introduced a continuum formulation of plasticity, which is based on connected straight edge and screw dislocation segments.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, CDD-based formulations accounting for dislocation annihilation via climb and cross-slip as well as dislocation multiplication have been presented by [22]. However, the proposed multiplication formulations are still based on the picture of Frank-Read sources, which has been shown to be inappropriate [1]. Furthermore the multiplication terms of [22] only affect the curvature density such that no transfer of line length (i.e.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Dislocation multiplication by cross-slip and glissile reaction in a dislocation based continuum formulation of crystal plasticity

Sudmanns

Stricker

Weygand

et al. 2019

Journal of the Mechanics and Physics of Solids

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Modeling dislocation multiplication due to interaction and reactions on a mesoscopic scale is an important task for the physically meaningful description of stage II hardening in face-centered cubic crystalline materials. In recent Discrete Dislocation Dynamics simulations it is observed that dislocation multiplication is exclusively the result of mechanisms, which involve dislocation reactions between different slip systems. These findings contradict multiplication models in dislocation based continuum theories, in which density increase is related to plastic slip on the same slip system. An application of these models for the density evolution on individual slip systems results in self-replication of dislocation density. We introduce a formulation of dislocation multiplication in a dislocation based continuum formulation of plasticity derived from a mechanism-based homogenization of cross-slip and glissile reactions in three-dimensional facecentered cubic systems. As a key feature, the presented model includes the generation of dislocations based on an interplay of dislocation density on different slip systems. This particularly includes slip systems with vanishing shear stress. The results show, that the proposed dislocation multiplication formulation allows for a physically meaningful microstructural evolution without self-replication of dislocations density. The results are discussed in comparison to discrete dislocation dynamics simulations exposing the coupling of different slip systems as the central characteristic for the increase of dislocation density on active and inactive slip systems.

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Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 98%

“…A deposition of reaction products on inactive slip systems, as observed e.g. in [1], may therefore not be reproduced from these terms.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dislocation multiplication by cross-slip and glissile reaction in a dislocation based continuum formulation of crystal plasticity

Sudmanns

Stricker

Weygand

et al. 2019

Journal of the Mechanics and Physics of Solids

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Modeling dislocation dynamics data using semantic web technologies

Ihsan,

Fathalla,

Sandfeld

2024

Neural Comput & Applic

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The research in Materials Science and Engineering focuses on the design, synthesis, properties, and performance of materials. An important class of materials that is widely investigated are crystalline materials, including metals and semiconductors. Crystalline material typically contains a specific type of defect called “dislocation”. This defect significantly affects various material properties, including bending strength, fracture toughness, and ductility. Researchers have devoted a significant effort in recent years to understanding dislocation behaviour through experimental characterization techniques and simulations, e.g., dislocation dynamics simulations. This paper presents how data from dislocation dynamics simulations can be modelled using semantic web technologies through annotating data with ontologies. We extend the dislocation ontology by adding missing concepts and aligning it with two other domain-related ontologies (i.e., the Elementary Multi-perspective Material Ontology and the Materials Design Ontology), allowing for efficiently representing the dislocation simulation data. Moreover, we present a real-world use case for representing the discrete dislocation dynamics data as a knowledge graph (DisLocKG) which can depict the relationship between them. We also developed a SPARQL endpoint that brings extensive flexibility for querying DisLocKG.

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Nonequilibrium statistical thermodynamics of thermally activated dislocation ensembles: part 3—Taylor–Quinney coefficient, size effects and generalized normality

McDowell

2023

J Mater Sci

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Dislocation multiplication in stage II deformation of fcc multi-slip single crystals

Cited by 39 publications

References 43 publications

Dislocation multiplication by cross-slip and glissile reaction in a dislocation based continuum formulation of crystal plasticity

Dislocation multiplication by cross-slip and glissile reaction in a dislocation based continuum formulation of crystal plasticity

Modeling dislocation dynamics data using semantic web technologies

Nonequilibrium statistical thermodynamics of thermally activated dislocation ensembles: part 3—Taylor–Quinney coefficient, size effects and generalized normality

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