Microscale Nitinol Hardness Measurements for Engineering Adaptive Ultrasonic Devices

Hafezi, M. and Feeney, A. (2023) Microscale Nitinol Hardness Measurements for Engineering Adaptive Ultrasonic Devices. 17th International Conference on Advances in Experimental Mechanics, Glasgow, UK, 30 Aug-01 Sept 2023.

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Abstract

Nitinol is arguably one of the most utilised shape memory alloys, widespread in the biomedical industry in stent designs and in the aerospace industry for damping structures. It exhibits two properties which have shown potential for enhancing the performance of ultrasonic devices. The first is the shape memory effect, the ability to switch its shape and phase microstructure in response to temperature or stress. The second is the highly reversible response to loading, known as superelasticity. The atomic crystal lattices of Nitinol are hence highly sensitive to static and dynamic loading, with the potential to revolutionise medical and industrial ultrasonics. For example, integration of Nitinol into ultrasonic devices will enable adaptive control of operational frequency in a single device, potentially across thousands of Hz. However, few of the developments made in the integration of Nitinol with ultrasonic transducers has focused on the mechanics of the material, particularly under the conditions to which Nitinol would be subjected as a component of an ultrasonic device. In this study, micro-indentation is undertaken on binary Nitinol to understand the influence of loading on mechanical characteristics such as hardness and stiffness. A square-pyramidal shaped diamond indenter has been used to apply the mechanical loading to samples cut from Nitinol sheet, where nonlinear increases in the mechanical hardness of Nitinol was measured, as the indentation load was raised. It has been found that both hardness and stiffness of Nitinol increase with load, and so there will be implications for the dynamics of ultrasonic devices fabricated using Nitinol and operating at elevated levels of dynamic stress.

Item Type:Conference or Workshop Item
Status:Published
Refereed:No
Glasgow Author(s) Enlighten ID:Feeney, Dr Andrew and Hafezi, Dr Mahshid
Authors: Hafezi, M., and Feeney, A.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Copyright Holders:Copyright © 2023 BSSM
First Published:First published in 17th International Conference on Advances in Experimental Mechanics
Publisher Policy:Reproduced with the permission of the publisher
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
312010Establishing adaptive ultrasonics through shape memory materialsAndrew FeeneyEngineering and Physical Sciences Research Council (EPSRC)EP/V049658/1ENG - Systems Power & Energy