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 (7/7 displayed)

  • 2024Magnetic Stimulation for Programmed Shape Morphing2citations
  • 2024Correlation between microstructural inhomogeneity and architectural design in additively manufactured NiTi shape memory alloys4citations
  • 2023Superelastic response and damping behavior of additively manufactured Nitinol architectured materials36citations
  • 2022Conceptual design of foldable truck trailer1citations
  • 2021Shape memory modeling of a nonlinear and superelastic compliant mechanism1citations
  • 2019Target shape optimization of functionally graded shape memory alloy compliant mechanisms9citations
  • 2019Target Shape Optimization of 3D Compliant Mechanism With Superelastic Joints and Shape Memory Actuationcitations

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Chart of shared publication
Kortman, Vera Gesina
1 / 1 shared
Sakes, Aimée
1 / 2 shared
Vries, Ellen De
1 / 1 shared
Popovich, Vera
2 / 27 shared
Riemslag, Ton
2 / 6 shared
Scott, Sean Paul
2 / 2 shared
Hermans, Marcel
2 / 11 shared
Petrov, Roumen
1 / 71 shared
Hartl, Darren
1 / 6 shared
Zhu, Jianing
2 / 10 shared
Yan, Zhaorui
2 / 3 shared
Borisov, Evgenii
1 / 17 shared
Sharma, Saurav
1 / 3 shared
Temmerman, Sjors
1 / 1 shared
Kumar, Siddhant
1 / 7 shared
Frecker, Mary
3 / 4 shared
Nastevska, Angela
2 / 2 shared
Hargrove, Brianne
1 / 1 shared
Hamilton, Reginald F.
1 / 1 shared
Palmer, Todd A.
1 / 1 shared
Chart of publication period
2024
2023
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2019

Co-Authors (by relevance)

  • Kortman, Vera Gesina
  • Sakes, Aimée
  • Vries, Ellen De
  • Popovich, Vera
  • Riemslag, Ton
  • Scott, Sean Paul
  • Hermans, Marcel
  • Petrov, Roumen
  • Hartl, Darren
  • Zhu, Jianing
  • Yan, Zhaorui
  • Borisov, Evgenii
  • Sharma, Saurav
  • Temmerman, Sjors
  • Kumar, Siddhant
  • Frecker, Mary
  • Nastevska, Angela
  • Hargrove, Brianne
  • Hamilton, Reginald F.
  • Palmer, Todd A.
OrganizationsLocationPeople

conferencepaper

Shape memory modeling of a nonlinear and superelastic compliant mechanism

  • Frecker, Mary
  • Nastevska, Angela
  • Hargrove, Brianne
  • Jovanova, Jovana
Abstract

With the shift from traditionally manufactured rigid-body mechanisms to lightweight compliant mechanisms (CMs) in additive manufacturing, researchers have become interested in modeling the behavior of CMs with high flexibility. Due to the large deformations that can be achieved, the use of CMs has expanded into applications such as energy absorption, and in the case of cellular contact-aided compliant mechanisms (C3Ms), stress-relief through self-contact. Although CMs provide greater design freedom in terms of geometry, size, and functionality than their rigid-link mechanism counterparts, there are notable challenges in modeling their complexity. This complexity arises not only from the nonuniform geometry of CMs, but also from variable material properties such as effective modulus. Current research in this area has been primarily limited to the study of linear elastic materials. Thus, there is a need to develop a model that describes CMs with nonlinear material behavior. The focus of this work is on a low-fidelity model using nonlinear, superelastic materials. In order to account for both geometric nonlinearity and superelasticity, the use of a new pseudo-rigid body model is proposed. The model incorporates the mechanics of shape memory alloy (SMA) behavior in a folding C3M design. The combined application of pseudo-rigid body modeling and SMAs allows for the prediction of large recoverable deformations through superelasticity. In previous work, a segmented pseudo-rigid body model was used to account for the nonlinear behavior of a folding C3M. A mathematical model of the superelastic SMA material is derived based on 2D beam flexure equations. The development of these equations allows for an analysis of the deflection under an applied force. As a part of this study, the results of the SMA model will be compared to high-fidelity finite element simulations as a judge of the accuracy of the analytical model. ; Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project ...

Topics
  • impedance spectroscopy
  • simulation
  • additive manufacturing