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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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2021Multiple Dendrite Tip Tracking for In-Situ Directional Solidification: Experiments and Comparisons to Theory6citations
  • 2015Localised corrosion: General discussion35citations
  • 2014Gas-to-dust mass ratios in local galaxies over a 2 dex metallicity range622citations

Places of action

Chart of shared publication
Robinson, A. J.
1 / 3 shared
Mcfadden, Shaun
1 / 37 shared
Karczewski, O. Ł.
1 / 2 shared
Asano, R. S.
1 / 2 shared
Delooze, I.
1 / 1 shared
Galametz, M.
1 / 7 shared
Takeuchi, T. T.
1 / 4 shared
Baes, M.
1 / 12 shared
Galliano, F.
1 / 8 shared
Boquien, M.
1 / 3 shared
Bocchio, M.
1 / 3 shared
Lebouteiller, V.
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Madden, S. C.
1 / 7 shared
Boselli, A.
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Spinoglio, Luigi
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Jones, A.
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Doublier-Pritchard, V.
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Rémy-Ruyer, A.
1 / 2 shared
Zhukovska, S.
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Cormier, D.
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Bendo, G. J.
1 / 4 shared
Chart of publication period
2021
2015
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Co-Authors (by relevance)

  • Robinson, A. J.
  • Mcfadden, Shaun
  • Karczewski, O. Ł.
  • Asano, R. S.
  • Delooze, I.
  • Galametz, M.
  • Takeuchi, T. T.
  • Baes, M.
  • Galliano, F.
  • Boquien, M.
  • Bocchio, M.
  • Lebouteiller, V.
  • Madden, S. C.
  • Boselli, A.
  • Spinoglio, Luigi
  • Jones, A.
  • Doublier-Pritchard, V.
  • Rémy-Ruyer, A.
  • Zhukovska, S.
  • Cormier, D.
  • Bendo, G. J.
OrganizationsLocationPeople

article

Multiple Dendrite Tip Tracking for In-Situ Directional Solidification: Experiments and Comparisons to Theory

  • Hughes, T.
  • Robinson, A. J.
  • Mcfadden, Shaun
Abstract

Directional solidification experiments of transparent alloy systems typically show multiple dendrites, a forest of dendrites, growing with preferential alignment. At the length scale of centimetres, an experiment could have hundreds of observable dendrites. Analysis of every dendrite would be laborious and practically difficult to implement. Hence, low numbers of dendrites are routinely selected for analysis as they are assumed to be representative of the growth conditions. Hence, many dendrites go without being analysed. Here, a bespoke experimental apparatus with a novel computer vision algorithm is presented that automatically detects and simultaneously tracks multiple columnar dendrite tips from in-situ video data of directional solidification. The benefits of the algorithm are demonstrated with an application to an experimental test case with the transparent alloy system Neopentyl Glycol-35 wt%D-Camphor (NPG-35 wt%DC). Comparisons of dendrite tip velocity and undercooling measurements with microgravity experimental results from the literature showed notable differences. The current terrestrial data showed similar growth rates but at lower undercoolings (by factors in the range of 0.41–0.68) to that measured in the microgravity experiments. Comparisons were made to the classical Lipton-Glicksman-Kurz (LGK) model and to a modified LGK model adapted with a finite diffusional boundary layer theory to account for convection effects. The modified LGK model showed good agreement for boundary layers between 2.5 and 7.0 µm. An oscillatory component to the tip velocity was observed between adjacent columnar dendrites. Video data of columnar dendritic growth augmented with tip velocity vectors are presented. The tip tracking algorithm is beneficial as, with 385 dendrite tips tracked, it provides statistical and qualitative insights that are otherwise difficult to reconcile using traditional methods.

Topics
  • impedance spectroscopy
  • theory
  • experiment
  • directional solidification