Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Rae, Catherine

  • Google
  • 1
  • 1
  • 0

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2016Determination of superlattice stacking fault energies in multi-component superalloyscitations

Places of action

Chart of shared publication
Vorontsov, Vassili A.
1 / 28 shared
Chart of publication period
2016

Co-Authors (by relevance)

  • Vorontsov, Vassili A.
OrganizationsLocationPeople

document

Determination of superlattice stacking fault energies in multi-component superalloys

  • Vorontsov, Vassili A.
  • Rae, Catherine
Abstract

Superalloy single crystals, used in the manufacture of gas turbine blades, can accumulate a substantial amount of plastic strain in a relatively short time when subjected to conditions that favour primary creep. This presents a challenge when aero engines are operated at full power during take-off, climb to cruising altitude and thrust reversal whereby these materials are subjected to comparatively high stresses. These stresses are not sufficiently high to allow the cutting of the L12 ordered intermetallic phase precipitates by paired a/2&lt;110&gt; dislocations bounding antiphase boundaries, as is observed during macroscopic yield. Instead, the precipitates are sheared by widely extended a&lt;112&gt; dislocations that form low-energy superlattice stacking faults (SSFs). The susceptibility of superalloys to primary creep is strongly dependent on their composition. Understanding of the compositional effects on the SSF energies is therefore of great importance to the design of future alloys. Ab initio calculations can provide limited insight into these effects, but are computationally expensive. In this work we employ Transmission Electron Microscopy (TEM) in conjunction with the Phase Field Model of Dislocations (PFMD) [1] to investigate the formation of SSF nodes [2] on superdislocation networks in Ni- and Co-Al-W-based superalloys. We use PFMD to evaluate the effect of stacking fault energies on the geometry of the SSF nodes and apply this insight to experimental evaluation of SSF energies from TEM imaging of the nodes in order to investigate the compositional dependencies and influence on primary creep behaviour.<br/><br/><br/>

Topics
  • impedance spectroscopy
  • polymer
  • single crystal
  • phase
  • transmission electron microscopy
  • dislocation
  • precipitate
  • intermetallic
  • susceptibility
  • creep
  • superalloy
  • stacking fault