Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2020An enhanced curvature-constrained design method for manufacturable variable stiffness composite laminates21citations
  • 2019Multiscale modeling of the effect of sub-ply voids on the failure of composite materials20citations
  • 2019Computational investigation of porosity effects on fracture behavior of thermal barrier coatings25citations
  • 2018A micromechanical fracture analysis to investigate the effect of healing particles on the overall mechanical response of a self-healing particulate composite15citations
  • 2018Determination of fracture strength and fracture energy of (metallo-) ceramics by a wedge loading methodology and corresponding cohesive zone-based finite element analysis10citations
  • 2018Multiscale analysis of mixed-mode fracture and effective traction-separation relations for composite materials24citations
  • 2018Modelling the fracture behaviour of thermal barrier coatings containing healing particles19citations
  • 2016Thermomechanical discrete dislocation-transformation model of single-crystal shape memory alloy8citations
  • 2011Analysis of banded morphology in multiphase steels based on a discrete dislocation-transformation model6citations
  • 2009Transformation-induced plasticity in multiphase steels subjected to thermomechanical loading.14citations

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Chart of shared publication
Peeters, Daniël
1 / 7 shared
Hong, Zhi
1 / 1 shared
Jong, Gijs De
1 / 1 shared
Ponnusami, Sathiskumar A.
3 / 7 shared
Krishnasamy, Jayaprakash
4 / 4 shared
Zwaag, Sybrand Van Der
1 / 18 shared
Sloof, Willem G.
1 / 11 shared
Kwakernaak, Cees
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Farle, Ann Sophie
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Westbroek, Wim
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Hirsch, Christian
1 / 1 shared
Hoorn, Niels Van
1 / 1 shared
Sakhaei, Amir Hosein
1 / 7 shared
Lim, Kian Meng
1 / 1 shared
Shi, Jingyi
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Suiker, Akke S. J.
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Tjahjanto, Denny
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Co-Authors (by relevance)

  • Peeters, Daniël
  • Hong, Zhi
  • Jong, Gijs De
  • Ponnusami, Sathiskumar A.
  • Krishnasamy, Jayaprakash
  • Zwaag, Sybrand Van Der
  • Sloof, Willem G.
  • Kwakernaak, Cees
  • Farle, Ann Sophie
  • Westbroek, Wim
  • Hirsch, Christian
  • Hoorn, Niels Van
  • Sakhaei, Amir Hosein
  • Lim, Kian Meng
  • Shi, Jingyi
  • Suiker, Akke S. J.
  • Tjahjanto, Denny
OrganizationsLocationPeople

article

Thermomechanical discrete dislocation-transformation model of single-crystal shape memory alloy

  • Sakhaei, Amir Hosein
  • Lim, Kian Meng
  • Turteltaub, Sergio
Abstract

<p>The interaction between martensitic phase transformation and plastic deformation affects the response of shape memory alloys (SMAs) during cyclic loading, in particular in terms of their pseudoelasticity characteristics and the shape memory effect. This interaction, which occurs at a sub-micron length scale inside single crystal grains, influences the reversibility and the actuation capacity of SMAs. In order to capture the sub-grain interactions while keeping the simulations tractable, a suitable modeling compromise between length scale resolution and computational effort is required. To this end, a model originally developed for multiphase steels assisted by transformation-induced plasticity is extended for shape memory alloys. Two new features, relevant for shape memory alloys, are introduced in the model, namely (i) the modeling of crystallographically reversible transformations and (ii) the thermal contribution in the free energy and the thermal effects on the transformation driving force. The two-dimensional model uses discrete dislocations to simulate plastic deformation due to slip and discrete regions to explicitly take into account the evolution of the martensitic phase. Through representative numerical simulations, the microscale coupling between phase transformation and plasticity is investigated with a view of elucidating (i) the effect of dislocations on the martensitic transformation, (ii) the effect of the phase transformation on dislocation slip and (iii) the interaction of both phenomena on the total reversibility of SMAs during cyclic loading. The results provide valuable information for the understanding of the interaction mechanism in shape memory alloys at the level of single crystals, which may be extended to an aggregate of grains.</p>

Topics
  • impedance spectroscopy
  • polymer
  • single crystal
  • grain
  • phase
  • simulation
  • steel
  • dislocation
  • two-dimensional
  • plasticity