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Proceedings Papers

Influence of the Phase Transformation Behaviour of NiTi Shape Memory Alloy Wires on the Predictability of Strain During Operation

Benedict Theren, Philipp Heß, Stefan Bracke, Bernd Kuhlenkötter
Proc. ASME. SMASIS2022, ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T02A002, September 12–14, 2022
Paper No: SMASIS2022-88882
DOI: https://doi.org/10.1115/SMASIS2022-88882
... memory actuator smart material actuator degredation analysis reliability analysis lifetime estimation simulation of the activation behavior phase transformation temperature energy model condition monitoring Proceedings of the ASME 2022 Conference on Smart Materials, Adaptive Structures...
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Topics: Nickel titanium alloys, Phase transitions, Shape memory alloys, Simulation, Temperature, Wire
Proceedings Papers

A Method of Crack Monitoring for Electrically Activated SMA Wires Using Thermography

Benedict Theren, Bernd Kuhlenkötter, Marvin Schuleit, Cemal Esen
Proc. ASME. SMASIS2020, ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T05A003, September 15, 2020
Paper No: SMASIS2020-2246
DOI: https://doi.org/10.1115/SMASIS2020-2246
... author: schuleit@lat.rub.de Keywords: Shape Memory Alloy, Condition Monitoring, Shape Memory Actuators, Thermography NOMENCLATURE Abbreviations and Formula Symbols As Austenite-Start Temperature °C Af Austenite-Finish Temperature °C Ms Martensite-Start Temperature °C Mf Martensite-Finish Temperature °C d...
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Topics: Actuators, Fracture (Materials), Shapes, Thermography, Wire, Temperature, Electrical resistance, Stress, Fatigue, Condition monitoring
Proceedings Papers

Resistance-Based Temperature Monitoring Using Machine Learning and Adapted Activation for an SMA Locking System in Aircraft Interiors

Benedict Theren, Simon Fahle, Antonia Weirich, Bernd Kuhlenkötter
Proc. ASME. SMASIS2020, ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T05A004, September 15, 2020
Paper No: SMASIS2020-2249
DOI: https://doi.org/10.1115/SMASIS2020-2249
... for the two different experiments. Therefore it can be concluded, that the installation of the actuator wires has a considerable influence on the applicability of machine learning in this scenario. Keywords: SMA Actuators, condition monitoring, Machine Learning NOMENCLATURE As Austenite-Start Temperature °C...
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Topics: Actuators, Aircraft, Machine learning, Temperature