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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Materials Map under construction

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 (4/4 displayed)

  • 2021Superelastic damping at nanoscale in ternary and quaternary Cu-based shape memory alloys19citations
  • 2020Universal Scaling Law for the Size Effect on Superelasticity at the Nanoscale Promotes the Use of Shape‐Memory Alloys in Stretchable Devices11citations
  • 2020Universal Scaling Law for the Size Effect on Superelasticity at the Nanoscale Promotes the Use of Shape‐Memory Alloys in Stretchable Devices11citations
  • 2018Is it Possible to Use Rolling Methods to Improve Textures on Fe–Mn–Si Shape Memory Alloys?8citations

Places of action

Chart of shared publication
Breczewski Filberek, Tomasz
1 / 5 shared
Pérez Cerrato, Mikel
1 / 4 shared
Gómez Cortés, José Fernando
2 / 7 shared
San Juan Núñez, José María
2 / 16 shared
Nó Sánchez, María Luisa
2 / 16 shared
Lorenzo García-Minguillán, Patricia
1 / 1 shared
Ruiz Larrea, María Isabel
1 / 8 shared
Cortés, Jose Fernando Gómez
1 / 1 shared
Nó, Maria L.
1 / 4 shared
San Juan, Jose
1 / 3 shared
Sobrero, César
1 / 1 shared
Bolmaro, Raúl
1 / 3 shared
Malarría, Jorge
1 / 2 shared
Druker, Ana V.
1 / 1 shared
Chart of publication period
2021
2020
2018

Co-Authors (by relevance)

  • Breczewski Filberek, Tomasz
  • Pérez Cerrato, Mikel
  • Gómez Cortés, José Fernando
  • San Juan Núñez, José María
  • Nó Sánchez, María Luisa
  • Lorenzo García-Minguillán, Patricia
  • Ruiz Larrea, María Isabel
  • Cortés, Jose Fernando Gómez
  • Nó, Maria L.
  • San Juan, Jose
  • Sobrero, César
  • Bolmaro, Raúl
  • Malarría, Jorge
  • Druker, Ana V.
OrganizationsLocationPeople

article

Is it Possible to Use Rolling Methods to Improve Textures on Fe–Mn–Si Shape Memory Alloys?

  • Sobrero, César
  • Fuster, Valeria
  • Bolmaro, Raúl
  • Malarría, Jorge
  • Druker, Ana V.
Abstract

<jats:sec><jats:label /><jats:p>No uniform rolling deformation produces shear strains that give rise to textural and microstructural heterogeneities in processed metals and alloys. In this work, the authors investigate Fe–30Mn–4Si shape memory alloy sheets rolled in different conditions at 600 °C, in order to determine the process giving rise to the best structure and the strongest {100}&lt;110&gt; shear texture. This crystallographic orientation is the most favorable for the γ → ϵ martensitic transformation, which provides the shape memory effect in these alloys. In the current conditions, the authors find that unidirectional rolling produces a shear texture in sheet's surface layers. The authors compare the texture and microstructure from this process to those obtained from reverse rolling and single‐roller drive rolling.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • microstructure
  • surface
  • texture
  • size-exclusion chromatography