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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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 (1/1 displayed)

  • 2021A critical look at the prediction of the temperature field around a laser-induced melt pool on metallic substrates.17citations

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Chart of shared publication
Yang, Nancy
1 / 2 shared
Lew, Adrian J.
1 / 1 shared
Tertuliano, Ottman A.
1 / 1 shared
Shu, Yi
1 / 1 shared
Galles, Daniel
1 / 1 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Yang, Nancy
  • Lew, Adrian J.
  • Tertuliano, Ottman A.
  • Shu, Yi
  • Galles, Daniel
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article

A critical look at the prediction of the temperature field around a laser-induced melt pool on metallic substrates.

  • Yang, Nancy
  • Lew, Adrian J.
  • Tertuliano, Ottman A.
  • Mcwilliams, Brandon A.
  • Shu, Yi
  • Galles, Daniel
Abstract

The study of microstructure evolution in additive manufacturing of metals would be aided by knowing the thermal history. Since temperature measurements beneath the surface are difficult, estimates are obtained from computational thermo-mechanical models calibrated against traces left in the sample revealed after etching, such as the trace of the melt pool boundary. Here we examine the question of how reliable thermal histories computed from a model that reproduces the melt pool trace are. To this end, we perform experiments in which one of two different laser beams moves with constant velocity and power over a substrate of 17-4PH SS or Ti-6Al-4V, with low enough power to avoid generating a keyhole. We find that thermal histories appear to be reliably computed provided that (a) the power density distribution of the laser beam over the substrate is well characterized, and (b) convective heat transport effects are accounted for. Poor control of the laser beam leads to potentially multiple three-dimensional melt pool shapes compatible with the melt pool trace, and therefore to multiple potential thermal histories. Ignoring convective effects leads to results that are inconsistent with experiments, even for the mild melt pools here.

Topics
  • density
  • impedance spectroscopy
  • microstructure
  • surface
  • experiment
  • melt
  • etching
  • additive manufacturing