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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693.932 PEOPLE
693.932 People People

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Ktari, Ahmed

  • Google
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  • 77

Laboratoire de Mécanique et Procédés de Fabrication

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2022On the Origin of the Local Hardening Zone on Welded Stainless Clad Steel Plates5citations
  • 2022Microstructure and mechanical property assessment of stainless steel–clad plate joint made by hybrid SMAW-GTAW multi-pass welding process9citations
  • 2021Intelligent approach based on FEM simulations and soft computing techniques for filling system design optimisation in sand casting processescitations
  • 2021Digital twin of functional gating system in 3D printed molds for sand casting using a neural network11citations
  • 2021Experimental analysis of temperature field and distortions in multi-pass welding of stainless cladded steel11citations
  • 2021Numerical investigation of plastic flow and residual stresses generated in hydroformed tubes5citations
  • 2020Digital twin of functional gating system in 3D printed molds for sand casting using a neural networkcitations
  • 2020Bridging FEM and Artificial Neural Network in gating system design for smart 3D sand castingcitations
  • 2019Failure analysis of shot–sleeves used in brass high pressure die–casting process9citations
  • 2016On the assessment of train crankshafts fatigue life based on LCF tests and 2D-FE evaluation of J-integral16citations
  • 2015Localization of stress-induced martensitic transformation in NiTi based Shape Memory Alloy wirescitations
  • 2011Numerical computation of thermal fatigue crack growth of cast iron11citations

Places of action

Chart of shared publication
Ghorbel, Rami
2 / 2 shared
Haddar, Nader
5 / 19 shared
El Mansori, Mohamed
3 / 50 shared
Guermazi, N.
1 / 1 shared
Boudeau, N.
1 / 1 shared
Malecot, P.
1 / 1 shared
Abdelkefi, A.
1 / 3 shared
Elmansori, Mohamed
1 / 1 shared
Gafsi, Nedia
1 / 1 shared
Mellouli, Dhouha
1 / 3 shared
Abid, Dorra
1 / 1 shared
Ayedi, Hassine Ferid
1 / 2 shared
Rezai-Aria, Farhad
1 / 67 shared
Dieng, Lamine
1 / 21 shared
Ammar, Ons
1 / 3 shared
Chart of publication period
2022
2021
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2015
2011

Co-Authors (by relevance)

  • Ghorbel, Rami
  • Haddar, Nader
  • El Mansori, Mohamed
  • Guermazi, N.
  • Boudeau, N.
  • Malecot, P.
  • Abdelkefi, A.
  • Elmansori, Mohamed
  • Gafsi, Nedia
  • Mellouli, Dhouha
  • Abid, Dorra
  • Ayedi, Hassine Ferid
  • Rezai-Aria, Farhad
  • Dieng, Lamine
  • Ammar, Ons
OrganizationsLocationPeople

article

Numerical computation of thermal fatigue crack growth of cast iron

  • Ktari, Ahmed
Abstract

COMPUTATION OF THERMAL FATIGUE CRACK GROWTH

Topics
  • crack
  • fatigue
  • iron
  • cast iron