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Modeling the butterfly behavior of SMA actuators using neural networks

Shape memory alloy (SMA) actuators are an important application of smart materials for robotics. However, the nonlinear behavior of SMA leads to difficulties in real-time simulations using numerical methods. Artificial Intelligence can be used to bypass this problem. In this paper, we study several...

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Principais autores: Hmede, Rodayna, Chapelle, Frédéric, Lapusta, Yuri
Format: Artigo
Sprog:Inglês
Udgivet: Académie des sciences 2022-04-01
Serier:Comptes Rendus. Mécanique
Fag:
Antagonistic systems
Neural networks
Shape memory alloys
Shape memory effect
Superelastic effect
Hysteresis behavior
Online adgang:https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.5802/crmeca.108/
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