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 (3/3 displayed)

  • 2020Comprehensive Quantitative Characterisation of Single Crystal Alloyscitations
  • 2020Tracking Primary Dendritic Arm Evolution through Single Crystal CMSX-10® Ni-Base Superalloy1citations
  • 2020Applications of pattern recognition for dendritic microstructures5citations

Places of action

Chart of shared publication
Strickland, Joel
3 / 6 shared
Gill, S.
1 / 2 shared
Perry, S.
2 / 2 shared
Tassenberg, K.
2 / 2 shared
Dong, Hb
1 / 2 shared
Dong, H. B.
1 / 5 shared
Chart of publication period
2020

Co-Authors (by relevance)

  • Strickland, Joel
  • Gill, S.
  • Perry, S.
  • Tassenberg, K.
  • Dong, Hb
  • Dong, H. B.
OrganizationsLocationPeople

article

Applications of pattern recognition for dendritic microstructures

  • Strickland, Joel
  • Dong, H. B.
  • Nenchev, B.
Abstract

<jats:title>Abstract</jats:title><jats:p>The Primary Dendrite Arm Spacing (PDAS) is the most important length scale in directionally solidified single crystal alloys. It determines the propensity for defect formation, solution heat treatment times and mechanical properties of the material. In this work a CMSX4 single crystal sample was imaged under a Scanning Electron Microscope (SEM). An automatic dendritic mapping (DenMap) algorithm using Normalised Cross-Correlation (NCC) is combined with Shape-Limited Primary Spacing (SLPS) to determine the local nearest neighbour dendrites and the corresponding dendritic packing. The algorithm located the dendritic centres, calculated the local PDAS, packing pattern, and relationship between PDAS and packing pattern for 256 dendrites in 1 minute 10 seconds. This is the first fully automatic method to produce a clear Gaussian distribution of local PDAS and packing pattern; thus, enabling rapid data gathering potential for single-crystal microstructures.</jats:p>

Topics
  • impedance spectroscopy
  • single crystal
  • scanning electron microscopy
  • defect
  • dendritic microstructure