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
693.932 People People

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Show results for 693.932 people that are selected by your search filters.

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PeopleLocationsStatistics
Naji, M.
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Ren, Xiaobo

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SINTEF

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (16/16 displayed)

  • 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
  • 2023Laser beam remelting of stainless steel plate for cladding and comparison with conventional CMT process9citations
  • 2023A comparative study of laser-arc hybrid welding with arc welding for fabrication of offshore substructures6citations
  • 2022In-situ X-ray microtomography of interface between additively manufactured aluminium bronze and H13 tool steelcitations
  • 2022Microstructure and Properties of Wire Arc Additive Manufacturing of Inconel 6254citations
  • 2022Effect of preheating and preplaced filler wire on microstructure and toughness in laser-arc hybrid welding of thick steel18citations
  • 2021Effect of Sigma Phase in Wire Arc Additive Manufacturing of Superduplex Stainless Steel11citations
  • 2021Root formation and metallurgical challenges in laser beam and laser-arc hybrid welding of thick structural steel12citations
  • 2021A Review on Laser-Assisted Joining of Aluminium Alloys to Other Metals33citations
  • 2021Laser Beam and Laser-Arc Hybrid Welding of Aluminium Alloys52citations
  • 2020Filler metal distribution and processing stability in laser-arc hybrid welding of thick HSLA steel36citations
  • 2020Additive Manufacturing with Superduplex Stainless Steel Wire by CMT Process66citations
  • 2019Porosity and solidification cracking in welded 45 mm thick steel by fiber laser-MAG process12citations
  • 2018Additive manufacture of superduplex stainless steel using WAAM61citations
  • 2017Effect of low temperature tensile properties on crack driving force for Arctic applications9citations

Places of action

Chart of shared publication
Hovig, Even Wilberg
2 / 6 shared
Zhang, Kai
1 / 1 shared
Bunaziv, Ivan
11 / 20 shared
Ma, Xiang
2 / 5 shared
Brizuela, Omar Emmanuel Godinez
1 / 1 shared
Eriksson, Magnus
1 / 4 shared
Skjetne, Paal
2 / 3 shared
Eriksson, Magnus Carl Fredrik
7 / 7 shared
Danielsen, Morten Høgseth
2 / 2 shared
Godinez Brizuela, Omar Emmanuel
1 / 1 shared
Gulbrandsen-Dahl, Sverre
2 / 3 shared
Hagen, Anette Brocks
1 / 8 shared
Jevremovic, Ivana
1 / 2 shared
Olden, Vigdis
1 / 14 shared
Zhang, Yubin
1 / 46 shared
Westermann, Ida
2 / 5 shared
Holmedal, Bjørn
1 / 9 shared
Linga, Håkon
1 / 1 shared
Brøtan, Vegard
1 / 3 shared
Bjørge, Ruben
2 / 12 shared
Akselsen, Odd Magne
10 / 21 shared
Nyhus, Bård
8 / 17 shared
Ånes, Håkon Wiik
2 / 4 shared
Langelandsvik, Geir
1 / 9 shared
Rørvik, Gisle
1 / 2 shared
Dørum, Cato
2 / 3 shared
Suikkanen, Pasi
1 / 7 shared
Nielsen, Steen Erik
1 / 2 shared
Frostevarg, Jan
2 / 13 shared
Kaplan, Alexander F. H.
2 / 20 shared
Wenner, Sigurd
1 / 34 shared
Aune, Ragnhild
2 / 4 shared
Robertstad, Andreas
2 / 2 shared
Sørensen, Camilla
2 / 2 shared
Brønstad, Bård M.
2 / 2 shared
Lervåg, Malin
2 / 4 shared
Dahl, Bjørn Augdal
1 / 1 shared
Zhang, Zhiliang
1 / 7 shared
Chart of publication period
2024
2023
2022
2021
2020
2019
2018
2017

Co-Authors (by relevance)

  • Hovig, Even Wilberg
  • Zhang, Kai
  • Bunaziv, Ivan
  • Ma, Xiang
  • Brizuela, Omar Emmanuel Godinez
  • Eriksson, Magnus
  • Skjetne, Paal
  • Eriksson, Magnus Carl Fredrik
  • Danielsen, Morten Høgseth
  • Godinez Brizuela, Omar Emmanuel
  • Gulbrandsen-Dahl, Sverre
  • Hagen, Anette Brocks
  • Jevremovic, Ivana
  • Olden, Vigdis
  • Zhang, Yubin
  • Westermann, Ida
  • Holmedal, Bjørn
  • Linga, Håkon
  • Brøtan, Vegard
  • Bjørge, Ruben
  • Akselsen, Odd Magne
  • Nyhus, Bård
  • Ånes, Håkon Wiik
  • Langelandsvik, Geir
  • Rørvik, Gisle
  • Dørum, Cato
  • Suikkanen, Pasi
  • Nielsen, Steen Erik
  • Frostevarg, Jan
  • Kaplan, Alexander F. H.
  • Wenner, Sigurd
  • Aune, Ragnhild
  • Robertstad, Andreas
  • Sørensen, Camilla
  • Brønstad, Bård M.
  • Lervåg, Malin
  • Dahl, Bjørn Augdal
  • Zhang, Zhiliang
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