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

Pires, M.

  • Google
  • 1
  • 6
  • 3

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021Numerical Modeling and Prediction of Residual Stresses in AISI 316L and 18Ni300 Steels Produced by Selective Laser Melting3citations

Places of action

Chart of shared publication
Gil, J.
1 / 9 shared
Fiorentin, F.
1 / 2 shared
Parente, M.
1 / 2 shared
Castanhola, A.
1 / 1 shared
Vaz, M.
1 / 8 shared
De Jesus, A.
1 / 6 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Gil, J.
  • Fiorentin, F.
  • Parente, M.
  • Castanhola, A.
  • Vaz, M.
  • De Jesus, A.
OrganizationsLocationPeople

document

Numerical Modeling and Prediction of Residual Stresses in AISI 316L and 18Ni300 Steels Produced by Selective Laser Melting

  • Gil, J.
  • Fiorentin, F.
  • Parente, M.
  • Pires, M.
  • Castanhola, A.
  • Vaz, M.
  • De Jesus, A.
Abstract

Additive manufacturing (AM) has been subjected to increased investment by industry and academia alike for its many advantages, including possible component complexity, vast array of processing materials and automation capabilities. However, AM too displays unavoidable hindrances, with residual stresses and dimensional distortions among them. Motivated by the need to minimise processing costs, many commercial software packages have been developed with the aim of providing predictions of component's distortions and residual stresses. The aim of this paper is to evaluate two different commercially available codes to simulate the printing of two distinct components that differ in geometry, material and process parameters by compare the simulation's output with experimental data. (C) 2021 The Authors. Published by Elsevier B.V.

Topics
  • impedance spectroscopy
  • simulation
  • steel
  • selective laser melting