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 (3/3 displayed)

  • 2011Topology optimization of planar shape memory alloy thermal actuators using element connectivity parameterizationcitations
  • 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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Langelaar, Matthijs
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Van Keulen, Fred
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Kim, Yy
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Gurav, Sp
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2011
2006
2005

Co-Authors (by relevance)

  • Langelaar, Matthijs
  • Van Keulen, Fred
  • Kim, Yy
  • Gurav, Sp
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document

Topology Optimization of Shape Memory Alloy Actuators using Element Connectivity Parametriztion

  • Langelaar, Matthijs
  • Van Keulen, Fred
  • Yoon, Gh
  • Kim, Yy
Abstract

This paper presents the first application of topology optimization to the design of shape memory alloy actuators. Shape memory alloys (SMAs) exhibit strongly nonlinear, temperature-dependent material behavior. The complexity in the constitutive behavior makes the topology design of SMA structures intractable by the conventional element density-based topology optimization. Therefore, in the present study, the recently developed element connectivity parameterization (ECP) formulation is applied, which offers important advantages for complex nonlinear topology optimization problems. A history-independent constitutive model of SMAs is employed which allows efficient adjoint sensitivity analysis. The effectiveness of the proposed technique is illustrated by several numerical examples.

Topics
  • density
  • impedance spectroscopy