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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693.932 PEOPLE
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Naji, M.
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Langelaar, Matthijs

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (21/21 displayed)

  • 2023Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process modelling69citations
  • 2023Design for material properties of additively manufactured metals using topology optimization8citations
  • 2022Simultaneous topology and deposition direction optimization for Wire and Arc Additive Manufacturing19citations
  • 2019A mold insert case study on topology optimized design for additive manufacturingcitations
  • 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
  • 2018CPV solar cell modeling and metallization optimization17citations
  • 2016Optimizing front metallization patterns23citations
  • 2016Integrated front–rear-grid optimization of free-form solar cells5citations
  • 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
  • 2005Topology Optimization of Shape Memory Alloy Actuators using Element Connectivity Parameterizationcitations

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Chart of shared publication
Spangenberg, Jon
1 / 76 shared
Mohanty, Sankhya
1 / 31 shared
Bayat, Mohamad
1 / 23 shared
Ayas, Can
5 / 8 shared
Ferrari, Federico
1 / 3 shared
Hattel, Jesper
1 / 4 shared
Poulios, Konstantinos
1 / 21 shared
Salajeghe, Roozbeh
1 / 1 shared
Sigmund, Ole
1 / 47 shared
Zinovieva, Olga
1 / 3 shared
Mishra, Vibhas
1 / 1 shared
Mishra, V.
1 / 3 shared
Ayas, C.
2 / 14 shared
Van Keulen, Fred
15 / 15 shared
Ranjan, Rajit
3 / 3 shared
Witvrouw, A.
2 / 3 shared
Dewulf, W.
2 / 4 shared
Moshiri, M.
2 / 2 shared
Sinico, M.
2 / 3 shared
Ranjan, R.
1 / 3 shared
Van Keulen, A.
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, Marco
1 / 1 shared
Gupta, Deepak K.
2 / 2 shared
Barink, M.
2 / 3 shared
Gupta, Deepak
1 / 3 shared
Galagan, Y.
1 / 9 shared
Yoon, Gh
3 / 3 shared
Kim, Yy
3 / 5 shared
Gurav, Sp
2 / 2 shared
Keulen, Fred Van
1 / 1 shared
Yoon, Gil Ho
1 / 3 shared
Kim, Yoon Young
1 / 1 shared
Chart of publication period
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Co-Authors (by relevance)

  • Spangenberg, Jon
  • Mohanty, Sankhya
  • Bayat, Mohamad
  • Ayas, Can
  • Ferrari, Federico
  • Hattel, Jesper
  • Poulios, Konstantinos
  • Salajeghe, Roozbeh
  • Sigmund, Ole
  • Zinovieva, Olga
  • Mishra, Vibhas
  • Mishra, V.
  • Ayas, C.
  • Van Keulen, Fred
  • Ranjan, Rajit
  • Witvrouw, A.
  • Dewulf, W.
  • Moshiri, M.
  • Sinico, M.
  • Ranjan, R.
  • Van Keulen, A.
  • Witvrouw, Ann
  • Sinico, Mirko
  • Dewulf, Wim
  • Moshiri, Mandaná
  • Moshiri, Mandana
  • Barink, Marco
  • Gupta, Deepak K.
  • Barink, M.
  • Gupta, Deepak
  • Galagan, Y.
  • Yoon, Gh
  • Kim, Yy
  • Gurav, Sp
  • Keulen, Fred Van
  • Yoon, Gil Ho
  • Kim, Yoon Young
OrganizationsLocationPeople

document

Sensitivity Analysis of Shape Memory Alloy Shells

  • Langelaar, Matthijs
  • Van Keulen, Fred
Abstract

Shape memory alloys (SMAs) are active materials with a high power density, capable of producing comparatively large actuation strains and stresses. However, designing effective multi-dimensional SMA actuators is a challenging task, due to the complex behavior of the material and the fact that often electrical, thermal and mechanical aspects have to be considered simultaneously. For this reason, interest in the application of systematic computational design approaches, such as design optimization techniques, to the design of SMA structures is increasing. To enable efficient SMA design optimization procedures, the availability of sensitivity information is crucial. This paper presents the formulation and computation of design sensitivities of SMA shell structues using the direct differentiation method, in a steady state electro-thermo-mechanical finite element context. The SMA constitutive model used in this study is specifically aimed at the description of the superelastic behavior of NiTi alloys, based on the R-phase transformation. This behavior is characterized by its negligible hysteresis, which is attractive for actuator applications. The history-independent nature of the material model makes it well suited for design optimization of SMA structures and actuators, as this property simplifies the sensitivity analysis considerably. Finite difference, semi-analytical and refined semi-analytical sensitivity analysis approaches are considered, and a comparison is given in terms of efficiency, accuracy and implementation effort, based on a representative finite element model of a miniature gripper.

Topics
  • density
  • impedance spectroscopy
  • phase