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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article

Topology optimization of planar shape memory alloy thermal actuators using element connectivity parameterization

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

This paper presents the direct application of topology optimization to the design of shape memory alloy (SMA) thermal actuators. Because SMAs exhibit strongly nonlinear, temperature-dependent material behavior, designing effective multidimensional SMA actuator structures is a challenging task. We pursue the use of topology optimization to address this problem. Conventional material scaling topology optimization approaches are hampered by the complexity of the SMA constitutive behavior combined with large actuator deflections. Therefore, for topology optimization we employ the element connectivity parameterization approach, which offers improved analysis convergence and robustness, as well as an unambiguous treatment of nonlinear materials. A path-independent SMA constitutive model, aimed particularly at the NiTiR-phase transformation, is employed, allowing efficient adjoint sensitivity analysis. The effectiveness of the proposed SMA topology optimization is demonstrated by numerical examples of constrained and unconstrained formulations of actuator stroke maximization, which provide insight into the characteristics of optimal SMA actuators.Key words: shape memory alloys; NiTi; topology optimization; element connectivity parameterization; geometric nonlinearity; material nonlinearity

Topics
  • impedance spectroscopy
  • phase