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)

  • 2022A Physics-Based Model of Laser Powder Bed Fusion of NiTi Shape Memory Alloy: Laser Single Track and Melt Pool Dimension Prediction6citations

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Elahinia, Mohammad
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Safaei, Keyvan
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Nematollahi, Mohammad Reza
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Abedi, Hossein
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Javan, Reza
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Qattawi, Ala
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2022

Co-Authors (by relevance)

  • Elahinia, Mohammad
  • Safaei, Keyvan
  • Nematollahi, Mohammad Reza
  • Abedi, Hossein
  • Javan, Reza
  • Qattawi, Ala
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document

A Physics-Based Model of Laser Powder Bed Fusion of NiTi Shape Memory Alloy: Laser Single Track and Melt Pool Dimension Prediction

  • Elahinia, Mohammad
  • Safaei, Keyvan
  • Nematollahi, Mohammad Reza
  • Abedi, Hossein
  • Javan, Reza
  • Al-Gamal, Anwar
  • Qattawi, Ala
Abstract

<jats:title>Abstract</jats:title><jats:p>NiTi Shape memory alloys are increasingly being employed in a variety of applications, with continuous research into practical processing methods. The laser powder bed fusion (LPBF) manufacturing method is exhibiting increasing attention to fabricating SMA materials due to the high flexibility of controllable process parameters. Finite element method (FEM) approaches are deployed to offer an intelligent fabrication path and minimize the high time and cost expenses of experimentations.</jats:p><jats:p>In this work, a thermal model is developed to predict the melt pool size and shape during NiTi’s LPBF. Macroscale physics framework via COMSOL Multiphysics is used to build a thermal model for NiTi LPBF processing. To this end, a single-track scanning of laser over the NiTi substrate with Gaussian power density has been modeled.</jats:p><jats:p>The thermal/melt pool modeling of a single laser pass on NiTi substrate is employed. The model is calibrated for the thermal parameters such as the conductive and convective coefficient and emissivity coefficients. The calibration is performed through the comparison of experimental temperature measurements via optical microscopy and in-situ thermal imaging and the numerical modeling results.</jats:p>

Topics
  • density
  • impedance spectroscopy
  • melt
  • selective laser melting
  • positron annihilation lifetime spectroscopy
  • Photoacoustic spectroscopy
  • optical microscopy
  • thermography