3D Constitutive Modeling of Superelastic Shape Memory Alloys: Constitutive Modeling of Superelastic Shape Memory Alloys Considering Rate Dependent Non-Mises Tension-torsion Behavior

Taheri Andani, Masood

ISBN 10: 3659514020 / ISBN 13: 9783659514029

Editore: LAP LAMBERT Academic Publishing, 2014

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Codice articolo ERICA82936595140206

Dati bibliografici

• Titolo: 3D Constitutive Modeling of Superelastic Shape Memory Alloys: Constitutive Modeling of Superelastic Shape Memory Alloys Considering Rate Dependent Non-Mises Tension-torsion Behavior
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 3659514020
• ISBN 13: 9783659514029
• Rilegatura: paperback
• Condizione: New
• Tipo di libro: book

Descrizione articolo

Riassunto

Within this work is the presentation of a general 3D model capable of capturing the multiaxial behavior of superelastic shape memory alloys (SMAs) under quasi-static isothermal or dynamic loading conditions. A semi-analytical framework is developed to numerically implement the model. An extended experimental study is conducted on NiTi thin walled tubes to investigate the performance of the model. The proposed approach is shown to be able to capture the non-Mises thermomechanical response of NiTi under complex tension-torsion loading conditions. The effect of loading sequence and loading rate is also experimentaly studied. The main motivation of the present study is to develop a platform for analyzing and designing biomedical devices with SMA actuator under combined tension-torsion loading conditions. The torsional stiffness of NiTi is shown to be adjustable by applying an extra axial load. This will lead to developing desirable torque response in NiTi tubes and rods by varying the axial load. A possible application of this technique in the form of an assistive device is discussed.

L'autore

Masood Taheri Andani is currently pursuing his PhD degree in Mechanical Engineering at the Center for Vehicle Systems and Safety (CVeSS) in Virginia Tech, VA. He completed his Master’s degree in August 2013 at The University of Toledo in Ohio. Masood was a member of the Dynamic and Smart Systems Laboratory during his Master's study.