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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977 Locations available

693.932 PEOPLE
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SINTEF

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2024New Insight into Toughness Enhancement in a Lath Martensitic Steel3citations
  • 2024The role of parent austenite grain size on the variant selection and intervariant boundary network in a lath martensitic steel13citations
  • 2024CFD modeling for predicting imperfections in laser welding and additive manufacturing of aluminum alloyscitations
  • 2023Numerical modelling of high-power laser spot melting of thin stainless steelcitations
  • 2022The influence of parent austenite characteristics on the intervariant boundary network in a lath martensitic steel9citations

Places of action

Chart of shared publication
Mirzaei, Ahmad
3 / 3 shared
Hodgson, Peter D.
3 / 12 shared
Barrett, Christopher D.
1 / 1 shared
Beladi, Hossein
3 / 4 shared
Rohrer, Gregory S.
2 / 8 shared
Farabi, Ehsan
1 / 3 shared
Peterson, Vanessa K.
1 / 5 shared
Hovig, Even Wilberg
1 / 6 shared
Zhang, Kai
1 / 1 shared
Bunaziv, Ivan
2 / 20 shared
Brizuela, Omar Emmanuel Godinez
1 / 1 shared
Ren, Xiaobo
2 / 16 shared
Eriksson, Magnus
1 / 4 shared
Skjetne, Paal
2 / 3 shared
Eriksson, Magnus Carl Fredrik
1 / 7 shared
Danielsen, Morten Høgseth
1 / 2 shared
Godinez Brizuela, Omar Emmanuel
1 / 1 shared
Ghaderi, Razieh
1 / 1 shared
Chart of publication period
2024
2023
2022

Co-Authors (by relevance)

  • Mirzaei, Ahmad
  • Hodgson, Peter D.
  • Barrett, Christopher D.
  • Beladi, Hossein
  • Rohrer, Gregory S.
  • Farabi, Ehsan
  • Peterson, Vanessa K.
  • Hovig, Even Wilberg
  • Zhang, Kai
  • Bunaziv, Ivan
  • Brizuela, Omar Emmanuel Godinez
  • Ren, Xiaobo
  • Eriksson, Magnus
  • Skjetne, Paal
  • Eriksson, Magnus Carl Fredrik
  • Danielsen, Morten Høgseth
  • Godinez Brizuela, Omar Emmanuel
  • Ghaderi, Razieh
OrganizationsLocationPeople

article

CFD modeling for predicting imperfections in laser welding and additive manufacturing of aluminum alloys

  • Hovig, Even Wilberg
  • Zhang, Kai
  • Bunaziv, Ivan
  • Ma, Xiang
  • Brizuela, Omar Emmanuel Godinez
  • Ren, Xiaobo
  • Eriksson, Magnus
  • Skjetne, Paal
Abstract

<jats:p>Aluminum and its alloys are widely used in various applications including e-mobility applications due to their lightweight nature, high corrosion resistance, good electrical conductivity, and excellent processability such as extrusion and forming. However, aluminum and its alloys are difficult to process with a laser beam due to their high thermal conductivity and reflectivity. In this article, the two most used laser processes, i.e., laser welding and laser powder bed fusion (LPBF) additive manufacturing, for processing of aluminum have been studied. There are many common laser-material interaction mechanisms and challenges between the two processes. Deep keyhole mode is a preferred method for welding due to improved productivity, while a heat conduction mode is preferred in LPBF aiming for zero-defect parts. In LPBF, the processing maps are highly desirable to be constructed, which shows the transition zone. Presented numerical modeling provides a more in-depth understanding of porosity formation, and different laser beam movement paths have been tested including circular oscillation paths. High accuracy processing maps can be constructed for LPBF that allows us to minimize tedious and time-consuming experiments. As a result, a modeling framework is a highly viable option for the cost-efficient optimization of process parameters.</jats:p>

Topics
  • impedance spectroscopy
  • corrosion
  • mobility
  • experiment
  • extrusion
  • aluminium
  • selective laser melting
  • defect
  • porosity
  • thermal conductivity
  • electrical conductivity