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 (2/2 displayed)

  • 2022Novel Tube Design for Superheater Heat Exchanger Enabled Via Additive Manufacturing2citations
  • 2021A stochastic scan strategy for grain structure control in complex geometries using electron beam powder bed fusion73citations

Places of action

Chart of shared publication
Kulkarni, Anand
1 / 2 shared
Singh, Vanshika
1 / 1 shared
Dehoff, R. R.
1 / 2 shared
Plotkowski, A. J.
1 / 1 shared
Paquit, V.
1 / 1 shared
Joslin, C.
1 / 1 shared
Babu, S. S.
1 / 12 shared
Stump, B.
1 / 3 shared
Ferguson, J.
1 / 6 shared
Marquez Rossy, A.
1 / 1 shared
Chart of publication period
2022
2021

Co-Authors (by relevance)

  • Kulkarni, Anand
  • Singh, Vanshika
  • Dehoff, R. R.
  • Plotkowski, A. J.
  • Paquit, V.
  • Joslin, C.
  • Babu, S. S.
  • Stump, B.
  • Ferguson, J.
  • Marquez Rossy, A.
OrganizationsLocationPeople

article

A stochastic scan strategy for grain structure control in complex geometries using electron beam powder bed fusion

  • Dehoff, R. R.
  • Plotkowski, A. J.
  • Paquit, V.
  • Joslin, C.
  • Babu, S. S.
  • Stump, B.
  • Kirka, M. M.
  • Ferguson, J.
  • Marquez Rossy, A.
Abstract

Spatial control of microstructure within a three-dimensional component has been a dream of materials scientists for centuries. However, limitations in traditional manufacturing processes prevent detailed control over the distribution of microstructures in a single part. Here, we demonstrate the ability to control grain structure and crystallographic texture during metal additive manufacturing for arbitrary cross-sections of a practical size, with profound implications for the design and optimization of next-generation products. The key to this advance is a new geometry agnostic scan path algorithm that manipulates the spatial distribution of solidification conditions. Utilizing a fundamental understanding of solidification dynamics and a model of the heat transfer during processing, we have designed this algorithm to manipulate the natural competition between epitaxial dendrite growth and grain nucleation. With this algorithm, we successfully controlled the grain structure of Ni-based superalloy IN718 in the shape of the Mona Lisa.

Topics
  • impedance spectroscopy
  • grain
  • texture
  • electron beam melting
  • solidification
  • superalloy