| People | Locations | Statistics |
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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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Kuhlenkötter, Bernd
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Test rig for investigating the functional and structural fatigue of shape memory alloy wires based on different activation profilescitations
- 2024A Two-Finger Gripper Actuated by Shape Memory Alloy for Applications in Automation Technology with Minimized Installation Space
- 2023Transfer Learning Approaches In The Domain Of Radial-Axial Ring Rolling For Machine Learning Applications
- 2023Transfer Learning Approaches In The Domain Of Radial-Axial Ring Rolling For Machine Learning Applications
- 2023Complementary database generation for machine learning in quality prediction of cold ring rolling
- 2023Improvement of Machine Learning Models for Time Series Forecasting in Radial-Axial Ring Rolling through Transfer Learning
- 2023Identification Of Investigation Procedures To Predict Work Roll Fatigue For Developing Machine Learning Applications – A Systematic Literature Review
- 2023Identification Of Investigation Procedures To Predict Work Roll Fatigue For Developing Machine Learning Applications – A Systematic Literature Review
- 2022Influence of the Phase Transformation Behaviour of NiTi Shape Memory Alloy Wires on the Predictability of Strain During Operationcitations
- 2022Investigation of Wire Mark Reading Methods to Support Automatic Quality Control
- 2021Investigation Of Suitable Methods For An Early Classification On Time Series In Radial-Axial Ring Rolling
- 2021Development of an actuator for translatory movement by means of a detented switching shaft based on a shape memory alloy wire for repeatable mechanical positioning
- 2021Improving quality prediction in radial-axial ring rolling using a semi-supervised approach and generative adversarial networks for synthetic data generation
- 2020A Framework for Data Integration and Analysis in Radial-Axial Ring Rolling
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document
Influence of the Phase Transformation Behaviour of NiTi Shape Memory Alloy Wires on the Predictability of Strain During Operation
Abstract
<jats:title>Abstract</jats:title><jats:p>Predicting the stroke (respectively the strain) of binary Nickel-Titanium (NiTi) shape memory alloy (SMA) wires is a challenging, but interesting task for designers of SMA components. Due to fatigue the resulting stroke decreases with an increasing cycle count. In the past several approaches were investigate to control the stroke of an SMA component based on models resulting from the energy conservation equation. By heating the wire energy goes into the system. Via heat content, convection, radiation the heat conduction via mechanical power (lifting a weight) and phase transformation energy leaves the system. In 2004 Oelschläger proposed a model to calculate the resulting stroke of an SMA wire based on the electric energy. The presented work aims to extend Oelschläger’s model and takes the fatigue of the phase transformation temperature (PTT) into account, by monitoring parameters such as voltage, current, electric resistance, force, temperature and the maximum strain. The leading question for this work is: How well does this model perform for SMA wires generating a full stroke within small temperature ranges? The developed model is tested based on 8 pre-cycled binary NiTi wires (diameter 0.25 mm, 350 MPa stress, 4 % strain and PTT between 120 °C and 125 °C) using two different test setups (test rigs, input parameters). Finally, all results are described and discussed in detail. The fatigue tests are analyzed using statistical methods. Peak values of all recorded parameters are extracted of the fatigue tests. Furthermore, the deviation between the experiments and the simulations are determined to compare the simulation model with the real measurement series of the performed fatigue tests. The simulation model is suitable to predict the stroke of a wire if the deviation is less than e.g. 10 %. In this context, the influence of the PTT is the focus of the analysis. The results show that the PTT has a significant impact. The narrower the PTT range is, the more acurate the simulation model and the initial parameters of the simulation have to be.</jats:p>