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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Langelaar, Matthijs
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 modellingcitations
- 2023Design for material properties of additively manufactured metals using topology optimizationcitations
- 2022Simultaneous topology and deposition direction optimization for Wire and Arc Additive Manufacturingcitations
- 2019A mold insert case study on topology optimized design for additive manufacturing
- 2019A mold insert case study on topology optimized design for additive manufacturing
- 2019Topology optimization of an injection mold insert with additive manufacturing constraints
- 2019Improving the manufacturability of metal AM parts
- 2018CPV solar cell modeling and metallization optimizationcitations
- 2016Optimizing front metallization patternscitations
- 2016Integrated front–rear-grid optimization of free-form solar cellscitations
- 2011Topology optimization of planar shape memory alloy thermal actuators using element connectivity parameterization
- 2008Modeling of shape memory alloy shells for design optimization
- 2008Sensitivity analysis of shape memory alloy shells
- 2007Gradient-based design optimization of shape memory alloy active catheters
- 2007Design optimization of shape memory alloy active structures using the R-phase transformation
- 2006Sensitivity Analysis and Optimization of a Shape Memory Alloy Gripper
- 2006Uncertainty-based Design Optimization of Shape Memory Alloy Microgripper using Combined Cycle-based Alternating Anti-optimization and Nested Parallel Computing
- 2006Sensitivity Analysis of Shape Memory Alloy Shells
- 2006Topology Optimization of Shape Memory Alloy Actuators using Element Connectivity Parametriztion
- 2005Analysis and Design Techniques for Shape Memory Alloy Microactuators for Space Applications
- 2005Topology Optimization of Shape Memory Alloy Actuators using Element Connectivity Parameterization
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document
Sensitivity Analysis of Shape Memory Alloy Shells
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.