Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

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

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Karhausen, Kai

  • Google
  • 1
  • 7
  • 0

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023The adaption, evaluation and application of a semi-empirical bond strength model for the simulations of multi-pass hot roll bonding of aluminium alloyscitations

Places of action

Chart of shared publication
Liu, Zhao
1 / 4 shared
Bailly, David
1 / 3 shared
Krämer, Alexander
1 / 2 shared
Teller, Marco
1 / 4 shared
Aretz, Holger
1 / 1 shared
Hirt, Gerhard
1 / 14 shared
Lohmar, Johannes
1 / 6 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Liu, Zhao
  • Bailly, David
  • Krämer, Alexander
  • Teller, Marco
  • Aretz, Holger
  • Hirt, Gerhard
  • Lohmar, Johannes
OrganizationsLocationPeople

article

The adaption, evaluation and application of a semi-empirical bond strength model for the simulations of multi-pass hot roll bonding of aluminium alloys

  • Liu, Zhao
  • Bailly, David
  • Krämer, Alexander
  • Karhausen, Kai
  • Teller, Marco
  • Aretz, Holger
  • Hirt, Gerhard
  • Lohmar, Johannes
Abstract

<jats:title>Abstract</jats:title><jats:p>Nowadays, the requirements on metallic materials have become more comprehensive, which gradually exceed the capability of monolithic metals. One of the solutions is the composite metal, where different properties of the constituents are integrated as one. In industrial practice, hot roll bonding has been frequently employed to produce laminated composite metals thanks to its high adaptivity. However, the bonding mechanism and the bond strength models have not been thoroughly investigated and parametrized. In a recent publication, a semi-empirical bond strength model has been developed, which quantitatively considers the influence of various influencing factors on the bond strength.</jats:p><jats:p>In this paper, this new model is applied in FE simulations of lab-scale hot roll bonding of multiple passes to achieve a better understanding of the process and the bonding behaviours. Firstly, this new model is adapted for macroscopic process simulations, implemented in FE environment via Abaqus subroutines, and evaluated by the simulations of the truncated-cone experiments. Secondly, the FE setup is applied in the process simulation of hot roll bonding. Eight roll bonding passes are simulatively reproduced and good accordance with experiment is achieved. The strain distribution in thickness, evolution of temperature and bond strength, bonding status and cause of local temporary de-bonding are analysed by this simulation. Finally, the influences of the thickness ratio of metallic plates, height reduction, rolling velocity, and material combination with different bonding properties are tested in simulative studies. The process simulations provide a promising way to facilitate the design and optimization of hot roll bonding by FE simulations.</jats:p>

Topics
  • impedance spectroscopy
  • experiment
  • simulation
  • aluminium
  • strength
  • aluminium alloy
  • composite
  • positron annihilation lifetime spectroscopy
  • Photoacoustic spectroscopy