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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De Sa, Jc

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2022Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field model16citations
  • 2021Assessment of scatter on material properties and its influence on formability in hole expansion3citations
  • 2020Fracture analysis in directed energy deposition (DED) manufactured 316L stainless steel using a phase-field approach35citations
  • 2020Micromechanically-motivated phase field approach to ductile fracture15citations
  • 2019Earing Profile and Wall Thickness Prediction of a Cylindrical Cup for Dual-phase Steels Using Different Yield Criteria in FE Simulation2citations
  • 2017Formability prediction for AHSS materials using damage models11citations
  • 2008Failure Analysis of Metallic Materials in Sheet Metal Forming using Finite Element Methodcitations
  • 2007Integration of heat transfer coefficient in glass forming modeling with special interface elementcitations
  • 2000A multilevel approach to optimization of bulk forming processescitations

Places of action

Chart of shared publication
Ferreira, Antonio
1 / 6 shared
Reis, A.
1 / 20 shared
Darabi, R.
2 / 2 shared
Azinpour, E.
3 / 3 shared
Fernandes, Jv
1 / 11 shared
Miranda, Ss
2 / 2 shared
Cruz, Dj
1 / 1 shared
Amaral, Rl
2 / 4 shared
Santos, Ad
4 / 14 shared
Santos, A.
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Hodek, J.
1 / 1 shared
Dzugan, J.
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Dos Santos, Ad
1 / 1 shared
Amaral, R.
1 / 1 shared
Miranda, S.
1 / 2 shared
Teixeira, P.
1 / 6 shared
Da Rocha, Ab
1 / 3 shared
Lochegnies, D.
1 / 4 shared
Moreau, P.
1 / 9 shared
Gregoire, S.
1 / 3 shared
Sousa, Lc
1 / 5 shared
Castro, Cf
1 / 5 shared
Antonio, Cac
1 / 14 shared
Chart of publication period
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Co-Authors (by relevance)

  • Ferreira, Antonio
  • Reis, A.
  • Darabi, R.
  • Azinpour, E.
  • Fernandes, Jv
  • Miranda, Ss
  • Cruz, Dj
  • Amaral, Rl
  • Santos, Ad
  • Santos, A.
  • Hodek, J.
  • Dzugan, J.
  • Dos Santos, Ad
  • Amaral, R.
  • Miranda, S.
  • Teixeira, P.
  • Da Rocha, Ab
  • Lochegnies, D.
  • Moreau, P.
  • Gregoire, S.
  • Sousa, Lc
  • Castro, Cf
  • Antonio, Cac
OrganizationsLocationPeople

document

Formability prediction for AHSS materials using damage models

  • De Sa, Jc
  • Amaral, R.
  • Miranda, S.
  • Santos, Ad
Abstract

Advanced high strength steels (AHSS) are seeing an increased use, mostly due to lightweight design in automobile industry and strict regulations on safety and greenhouse gases emissions. However, the use of these materials, characterized by a high strength to weight ratio, stiffness and high work hardening at early stages of plastic deformation, have imposed many challenges in sheet metal industry, mainly their low formability and different behaviour, when compared to traditional steels, which may represent a defying task, both to obtain a successful component and also when using numerical simulation to predict material behaviour and its fracture limits. Although numerical prediction of critical strains in sheet metal forming processes is still very often based on the classic forming limit diagrams, alternative approaches can use damage models, which are based on stress states to predict failure during the forming process and they can be classified as empirical, physics based and phenomenological models. In the present paper a comparative analysis of different ductile damage models is carried out, in order numerically evaluate two isotropic coupled damage models proposed by Johnson-Cook and Gurson-Tvergaard-Needleman (GTN), each of them corresponding to the first two previous group classification. Finite element analysis is used considering these damage mechanics approaches and the obtained results are compared with experimental Nakajima tests, thus being possible to evaluate and validate the ability to predict damage and formability limits for previous defined approaches.

Topics
  • impedance spectroscopy
  • polymer
  • simulation
  • strength
  • steel
  • forming
  • isotropic
  • finite element analysis