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.
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
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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
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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

document

Gradient-based design optimization of shape memory alloy active catheters

  • Langelaar, Matthijs
  • Van Keulen, Fred
Abstract

The design of an active catheter is an example of a challenging design problem of an shape memory alloy (SMA) adaptive structure. The objective is to find a geometry that combines the electrical, thermal and mechanical properties of the structure in such a way that optimal bending performance is achieved. This paper introduces the application af an efficient gradient-based design optimization procedure to this design problem. The specific model used focuses on the R-phase transformation in Ni-Ti, and involves multi-point constraints to implement symmetry conditions. The nonlinear mechanical analysis is carried out using an incremental-iterative approach in combination with an augmented Lagrangian technique to account for the nonlinear constraints. Sensitivity analysis is performed using finite differences in combination with fast reanalysis, where a new correction term is applied to the multi-point constraints that significantly improves the accuracy. The proposed gradient-based optimization approach is compared to an alternative direct method, and a clear advantage in terms of the number of required function evaluations is achieved. The application of design optimization yields active catheter designs that clearly outperform previous versions. It is expected that the presented method will prove useful for the design of other SMA adaptive structues as well.

Topics
  • impedance spectroscopy
  • phase