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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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.

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Naji, M.
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (15/15 displayed)

  • 2022Simultaneous topology and deposition direction optimization for Wire and Arc Additive Manufacturing19citations
  • 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
  • 2016Optimizing front metallization patterns23citations
  • 2011Topology optimization of planar shape memory alloy thermal actuators using element connectivity parameterizationcitations
  • 2008Modeling of shape memory alloy shells for design optimizationcitations
  • 2008Sensitivity analysis of shape memory alloy shellscitations
  • 2007Gradient-based design optimization of shape memory alloy active catheterscitations
  • 2007Design optimization of shape memory alloy active structures using the R-phase transformationcitations
  • 2006Sensitivity Analysis and Optimization of a Shape Memory Alloy Grippercitations
  • 2006Uncertainty-based Design Optimization of Shape Memory Alloy Microgripper using Combined Cycle-based Alternating Anti-optimization and Nested Parallel Computingcitations
  • 2006Sensitivity Analysis of Shape Memory Alloy Shellscitations
  • 2006Topology Optimization of Shape Memory Alloy Actuators using Element Connectivity Parametriztioncitations
  • 2005Analysis and Design Techniques for Shape Memory Alloy Microactuators for Space Applicationscitations

Places of action

Chart of shared publication
Mishra, V.
1 / 3 shared
Ayas, C.
1 / 14 shared
Langelaar, Matthijs
15 / 21 shared
Ayas, Can
3 / 8 shared
Ranjan, Rajit
3 / 3 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
Barink, M.
1 / 3 shared
Gupta, Deepak K.
1 / 2 shared
Yoon, Gh
3 / 3 shared
Kim, Yy
3 / 5 shared
Gurav, Sp
2 / 2 shared
Chart of publication period
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Co-Authors (by relevance)

  • Mishra, V.
  • Ayas, C.
  • Langelaar, Matthijs
  • Ayas, Can
  • Ranjan, Rajit
  • Witvrouw, A.
  • Dewulf, W.
  • Moshiri, M.
  • Sinico, M.
  • Witvrouw, Ann
  • Sinico, Mirko
  • Dewulf, Wim
  • Moshiri, Mandaná
  • Moshiri, Mandana
  • Barink, M.
  • Gupta, Deepak K.
  • Yoon, Gh
  • Kim, Yy
  • Gurav, Sp
OrganizationsLocationPeople

article

Improving the manufacturability of metal AM parts

  • Ayas, Can
  • Moshiri, Mandana
  • Witvrouw, Ann
  • Sinico, Mirko
  • Langelaar, Matthijs
  • Dewulf, Wim
  • Ranjan, Rajit
  • Van Keulen, Fred
Abstract

Numerous challenges of additive manufacturing (AM) are tackled in the European Horizon 2020 project PAM^2 by studying and linking every step of the AM process cycle. For example, PAM^2 researchers from the design, processing and application side have collaborated in this work to optimise the manufacturability of metal AM parts using an improved Topology Optimisation (TO) approach, including a thermal constraint. Additionally, the project is focusing on modelling, post-processing, in- and post-process quality control and industrial assessment of AM parts, with the aim of moving beyond the state-of-the-art of precision metal AM.

Topics
  • impedance spectroscopy
  • additive manufacturing