Sensitivity Analysis and Optimization of a Shape Memory Alloy Gripper

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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.
Original languageUndefined/Unknown
Title of host publicationProceedings of the Eighth International Conference on Computational Structures and Technology
Editors B.H.V. Topping, G. Montero, R. Montenegro
Place of PublicationLas Palmas de Canaria, Spain
PublisherCivil-Comp Press
Number of pages20
ISBN (Print)1-905088-08-6
Publication statusPublished - 2006
EventEighth International Conference on Computational Structures Technology - Las Palmas de Canaria, Spain
Duration: 12 Sep 200615 Sep 2006

Publication series

PublisherCivil-Comp Press


ConferenceEighth International Conference on Computational Structures Technology


  • conference contrib. refereed
  • Conf.proc. > 3 pag

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