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Papers 18
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Shape-Setting of Self-Expanding Nickel–Titanium Laser-Cut and Wire-Braided Stents to Introduce a Helical Ridge2024 Cardiovascular Engineering and Technology article Materials Science Shape Memory Alloy Transformations Open access
Martina Bernini, Rudolf Hellmuth, Craig Dunlop, Ciara G. McKenna, Agnese Lucchetti, Thomas Gries, +2 more
4citations -
Unraveling magneto-structural coupling of Ni2MnGa alloy under the application of stress and magnetic field using in situ polarized neutron diffraction2020 Applied Physics Letters article Materials Science Shape Memory Alloy Transformations Open access
Yubin Ke, Si Lan, Yuxian Wu, Hong‐Hui Wu, Vladimir M. Hutanu, Hao Deng, +2 more
4citations -
Simulation of Pseudoelastic NiTi Shape Memory Alloys under Compressive Loading to Assess the Potential use in Vibration Damping in the Tool Interface2022 Conference proceedings from the International Conference on Shape Memory and Superelastic Technologies conference-paper Materials Science Shape Memory Alloy Transformations
Yannic Zwinscher, F. Hoffmann, Romina Krieg, Ralf Theiß, Peter Dültgen, Niclas Klumpen, +2 more
1citations -
Investigation of Transformation Behaviour of Pseudoelastic NiTi Shape Memory Alloys Under Compressive Loading to Assess the Potential Use in Vibration Damping in Milling Operations2021 ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS) conference-paper Materials Science Shape Memory Alloy Transformations
Christian Brecher, Stephan Neus, Niclas Klumpen, Peter Dültgen, Ralf Theiß, Romina Krieg, +1 more
0citations -
Spiral Laminal Flow Technology in a Self-Expanding Nitinol Stent: Investigation on the Manufacturing Process2022 Conference proceedings from the International Conference on Shape Memory and Superelastic Technologies conference-paper Materials Science Shape Memory Alloy Transformations
Martina Bernini, Agnese Lucchetti, Craig Dunlop, Rudolf Hellmuth, William Ronan, Ted J. Vaughan
0citations -
ON THE INTEGRATION OF MULTIPLE LOAD PROTOCOLS FOR PARAMETER IDENTIFICATION AND CALIBRATION OF SUPERELASTIC SHAPE MEMORY ALLOY MODELS USING ARTIFICIAL NEURAL NETWORKS0citations
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