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 (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

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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.
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Sinico, M.
1 / 3 shared
Witvrouw, Ann
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Sinico, Mirko
2 / 4 shared
Dewulf, Wim
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Moshiri, Mandaná
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Moshiri, Mandana
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Barink, M.
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Gupta, Deepak K.
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Yoon, Gh
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Kim, Yy
3 / 5 shared
Gurav, Sp
2 / 2 shared
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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

Modeling of shape memory alloy shells for design optimization

  • Langelaar, Matthijs
  • Van Keulen, Fred
Abstract

A three-dimensional phenomenological constitutive model for the analysis and design optimization of shape memory alloy (SMA) structures is presented. This model specifically targets the pseudoelastic behavior due to the R-phase transformation in NiTi alloys, but also applies to similar SMA materials with low hysteresis. A history-independent formulation is presented, which allows cost-effective sensitivity analysis. The possibility to efficiently compute design sensitivities is essential for enabling the use of gradient-based optimization algorithms, which will allow design optimization of complex SMA structures. The use of the constitutive model in a problem of realistic complexity is illustrated by the analysis of a SMA miniature gripper, modeled using shell elements. The sensitivity analysis of SMA structures using the presented model is addressed in an accompanying paper.Keywords: Shape memory alloys; Pseudoelasticity; NiTi; Constitutive modeling; R-phase; History-independence

Topics
  • impedance spectroscopy
  • phase