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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Ayas, Can

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2023Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process modelling69citations
  • 2023Design for material properties of additively manufactured metals using topology optimization8citations
  • 2022Combined effects of stress and temperature on hydrogen diffusion in non-hydride forming alloys applied in gas turbines6citations
  • 2021Hydrogen diffusion under the effect of stress and temperature gradientscitations
  • 2019A mold insert case study on topology optimized design for additive manufacturingcitations
  • 2019Topology optimization of an injection mold insert with additive manufacturing constraintscitations
  • 2019Improving the manufacturability of metal AM partscitations
  • 2010A continuum framework for grain boundary diffusion in thin film/substrate systems1citations

Places of action

Chart of shared publication
Spangenberg, Jon
1 / 76 shared
Mohanty, Sankhya
1 / 31 shared
Bayat, Mohamad
1 / 23 shared
Ferrari, Federico
1 / 3 shared
Langelaar, Matthijs
5 / 21 shared
Hattel, Jesper
1 / 4 shared
Poulios, Konstantinos
1 / 21 shared
Salajeghe, Roozbeh
1 / 1 shared
Sigmund, Ole
1 / 47 shared
Zinovieva, Olga
1 / 3 shared
Mishra, Vibhas
1 / 1 shared
Popovich, Vera
2 / 27 shared
Zhang, Zhichao
2 / 3 shared
Peeters, Jurriaan
2 / 2 shared
Ranjan, Rajit
3 / 3 shared
Van Keulen, Fred
3 / 15 shared
Witvrouw, A.
1 / 3 shared
Dewulf, W.
1 / 4 shared
Moshiri, M.
1 / 2 shared
Sinico, M.
1 / 3 shared
Witvrouw, Ann
2 / 5 shared
Sinico, Mirko
2 / 4 shared
Dewulf, Wim
2 / 17 shared
Moshiri, Mandaná
1 / 8 shared
Moshiri, Mandana
1 / 2 shared
Chart of publication period
2023
2022
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2019
2010

Co-Authors (by relevance)

  • Spangenberg, Jon
  • Mohanty, Sankhya
  • Bayat, Mohamad
  • Ferrari, Federico
  • Langelaar, Matthijs
  • Hattel, Jesper
  • Poulios, Konstantinos
  • Salajeghe, Roozbeh
  • Sigmund, Ole
  • Zinovieva, Olga
  • Mishra, Vibhas
  • Popovich, Vera
  • Zhang, Zhichao
  • Peeters, Jurriaan
  • Ranjan, Rajit
  • Van Keulen, Fred
  • Witvrouw, A.
  • Dewulf, W.
  • Moshiri, M.
  • Sinico, M.
  • Witvrouw, Ann
  • Sinico, Mirko
  • Dewulf, Wim
  • Moshiri, Mandaná
  • Moshiri, Mandana
OrganizationsLocationPeople

article

Design for material properties of additively manufactured metals using topology optimization

  • Ayas, Can
  • Mishra, Vibhas
  • Langelaar, Matthijs
Abstract

In metal Additive Manufacturing (AM), the deposited material is subjected to a series of heating and cooling cycles. The locally occurring temperature extremes and cooling rates determine solid-state phase fractions, material microstructure, texture, and ultimately the local material properties. As the shape of a part determines the local thermal history during AM, this offers an opportunity to influence these material properties through design. In this paper, we present a way to obtain desired properties by controlling the local thermal history. This is achieved through topology optimization of the printed part while considering its entire transient thermal history. As an example of this approach, this work focuses on high strength low alloy steels, where resulting phase fractions significantly influence mechanical properties such as yield strength and ductility. These solid-state phase fractions depend on cooling rates in a particular critical temperature range. The phase composition and hence the local yield strength in target regions can be controlled by constraining the cooling time in this range. Numerical examples illustrate the capability of the proposed approach in adapting part designs to achieve various desired material properties. ; Materials and Manufacturing ; Computational Design and Mechanics

Topics
  • impedance spectroscopy
  • microstructure
  • phase
  • strength
  • steel
  • texture
  • yield strength
  • ductility
  • additive manufacturing
  • critical temperature