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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023Combined material model to predict flow curves of cold forging raw materials having high strain hardening exponentcitations
  • 2019Recovery of fatigue life using laser peening on 2024‐T351 aluminium sheet containing scratch damage25citations

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Chart of shared publication
Kocatürk, Fatih
1 / 2 shared
Zeren, Doğuş
1 / 1 shared
Fitzpatrick, Michael
1 / 26 shared
Smyth, Niall
1 / 7 shared
Irving, Philip E.
1 / 2 shared
Chart of publication period
2023
2019

Co-Authors (by relevance)

  • Kocatürk, Fatih
  • Zeren, Doğuş
  • Fitzpatrick, Michael
  • Smyth, Niall
  • Irving, Philip E.
OrganizationsLocationPeople

document

Combined material model to predict flow curves of cold forging raw materials having high strain hardening exponent

  • Kocatürk, Fatih
  • Toparli, M. Burak
  • Zeren, Doğuş
Abstract

<jats:p>Abstract. In order to increase the accuracy of cold forging simulations, flow curves obtained by experimental compression tests are used instead of the material models existing in the software library. The parameters of Ludwik material model were determined with respect to the constructed experimental flow curves at different temperatures and strain rates. Then, the flow curves were defined into the software by using these parameters. While Ludwik model can represent the material flow curve with high accuracy at low plastic strain values, the error rate between the experimental flow curve and the Ludwik model increases at high plastic strain values. Voce material models were known to predict the flow curve of materials with high strain hardening exponents more accurately, especially at high temperature and strain values. In this study, the performance of Ludwik material model was compared to four Voce material models given in the literature and a more accurate combined material model was defined for each flow curve at different temperature and strain rates for 42CrMoS4 material. All experimental flow curves were predicted with a minimum R2 of 0.99 and the lowest mean absolute error value with the new combined material model. </jats:p>

Topics
  • polymer
  • simulation
  • compression test
  • forging