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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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Van Keulen, Fred
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 Manufacturingcitations
- 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
- 2016Optimizing front metallization patternscitations
- 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
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document
Sensitivity Analysis and Optimization of a Shape Memory Alloy Gripper
Abstract
Optimization techniques can be used to improve the design process of shape memory alloy (SMA) structures. This paper presents the shape optimization of a miniature SMA gripper using two gradient-based optimization algorithms, Sequential Quadratic Programming (SQP) and the Method of Moving Asymptotes (MMA). The use of gradient information enables faster optimization or allows larger numbers of design variables, in comparison to direct methods. To obtain gradient information, the sensitivity analysis of the sequentially coupled electro-thermo-mechanical SMA gripper problem is investigated. Finite difference and semi-analytical sensitivity analysis techniques for this problem are compared on accuracy, stability, efficiency and implementation aspects. Furthermore, using the SMA gripper as a representative example, the effectiveness and computational efficiency of the gradient-based optimization methods is compared to a direct response-surface-based approach.