The temperature effect on the magneto-mechanical response of magnetostrictive composites for stress sensing applications

2017 ◽  
Vol 10 (05) ◽  
pp. 1750060 ◽  
Author(s):  
Alexander Yoffe ◽  
Hadas Kaniel ◽  
Doron Shilo
Keyword(s):  
Magnetic Field ◽  
Glass Transition ◽  
Mechanical Response ◽  
Sensing Applications ◽  
Measurement Results ◽  
Different Temperatures ◽  
Temperature Ranges ◽  
Field Sensor ◽  
Stress Sensing ◽  
Magnetostrictive Composites

Stress induced magnetic field changes in epoxy-based Terfenol-D composite materials offer a unique way for stress sensing by using a remote magnetic field sensor. In this paper, we report simultaneous measurements of the stress, strain and emitted magnetic field during compressive tests performed at different temperatures in the range of [Formula: see text]C–65[Formula: see text]C. The observed results are explained based on the physical processes that occur at different stresses and temperature ranges. Measurement results reveal a temperature range ([Formula: see text]C–45[Formula: see text]C) suitable for stress sensing applications, at which the reverse magnetostrictive response is almost temperature insensitive. At 65[Formula: see text]C, the epoxy demonstrated a significant softening due to the glass transition, indicating that a high glass transition temperature is an important desired property for the epoxy matrix.

Magnetic Field Sensor Based on the Domain Wall Nucleation and Propagation

2011 ◽  
Vol 495 ◽  
pp. 225-228
Author(s):  
Georgios Kokkinis
Keyword(s):  
Magnetic Field ◽  
Domain Wall ◽  
Magnetic Field Sensor ◽  
Propagation Process ◽  
Driving Field ◽  
Sensing Applications ◽  
Amorphous Wires ◽  
Linear Characteristic ◽  
Field Sensor ◽  
Direction Opposite

In this paper we present a magnetic field sensor based on the domain wall nucleation and propagation process in glass covered amorphous wires. The sensor utilizes the Sixtus and Tonks apparatus. A linear characteristic is reported to magnetic fields with direction opposite to the driving field, while to fields with the same direction; a monotonic, though inappropriate for sensing applications, respond is shown.

Stress Controlled Magneto-Mechanical Instability In Terfenol-D Thin Films

1997 ◽  
Vol 505 ◽  
Author(s):  
Quanmin Su ◽  
Y. Wen ◽  
Manfred Wuttig
Keyword(s):  
Magnetic Field ◽  
Thin Films ◽  
Mechanical Response ◽  
Substrate Material ◽  
Recrystallization Temperature ◽  
Mechanical Instability ◽  
Si Substrates ◽  
Different Temperatures ◽  
Film Substrate ◽  
Selection Of

ABSTRACTThe magneto-mechanical properties of Terfenol-D thin films deposited on Si substrates were studied by magnetic and mechanical measurements of film/substrate composite cantilevers. The AE effect and mechanical damping of the film were measured simultaneously. The stress in the film was controlled by annealing and deposition at different temperatures as well by the selection of the substrate material below the recrystallization temperature and determined to vary from -500 MPa, compression, in as deposited films to +480MPa, tension, in annealed films. This paper highlights the magneto-mechanical response of tensioned 1 m nanocrystalline Terfenol-D films on 50 Pim Si substrates display a pronounced damping maximum at a magnetic field of about 1.5kOe oriented perpendicular to the plane of the film. The phenomenon is critically dependent on the orientation of the magnetic field and is the result of a magneto-mechanical instability in the Terfenol film.

Magnetic Field Sensor Based on a Single Josephson Junction With a Multilayer Ferromagnet/Normal Metal Barrier

2021 ◽  
Vol 31 (5) ◽  
pp. 1-5
Author(s):  
Ivan P. Nevirkovets ◽  
Mikhail A. Belogolovskii ◽  
Oleg A. Mukhanov ◽  
John B. Ketterson
Keyword(s):  
Magnetic Field ◽  
Josephson Junction ◽  
Normal Metal ◽  
Magnetic Field Sensor ◽  
Field Sensor ◽  
Metal Barrier

Test bench for calibration of magnetic field sensor prototypes for COMPASS-U tokamak

2021 ◽  
Vol 168 ◽  
pp. 112467
Author(s):  
Andre Torres ◽  
Karel Kovarik ◽  
Tomas Markovic ◽  
Jiri Adamek ◽  
Ivan Duran ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Test Bench ◽  
Magnetic Field Sensor ◽  
Field Sensor

High-sensitivity fiber optic magnetic field sensor based on lossy mode resonance and hollow core-offset structure

2021 ◽  
pp. 1-12
Author(s):  
Xue-Peng Jin ◽  
Hong-Zhi Sun ◽  
Shuo-Wei Jin ◽  
Wan-Ming Zhao ◽  
Jing-Ren Tang ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Fiber Optic ◽  
High Sensitivity ◽  
Magnetic Field Sensor ◽  
Hollow Core ◽  
Field Sensor

An integrated electro-optic magnetic field sensor based on reflected Mach-Zehnder interferometer

Optik ◽  
2018 ◽  
Vol 157 ◽  
pp. 315-318 ◽  
Author(s):  
Jiahong Zhang ◽  
Xiaorong Wan ◽  
Yingna Li ◽  
Zhengang Zhao ◽  
Chuan Li
Keyword(s):  
Magnetic Field ◽  
Magnetic Field Sensor ◽  
Zehnder Interferometer ◽  
Electro Optic ◽  
Field Sensor ◽  
Mach Zehnder Interferometer

scholarly journals Augmenting Around-Device Interaction by Geomagnetic Field Built-in Sensor Utilization

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3087
Author(s):  
Sandi Ljubic ◽  
Franko Hržić ◽  
Alen Salkanovic ◽  
Ivan Štajduhar
Keyword(s):  
Magnetic Field ◽  
Neural Networks ◽  
Curve Fitting ◽  
Absolute Error ◽  
Interaction Space ◽  
Text Entry ◽  
Proof Of Concept ◽  
Field Sensor ◽  
Device Interaction ◽  
Input Techniques

In this paper, we investigate the possibilities for augmenting interaction around the mobile device, with the aim of enabling input techniques that do not rely on typical touch-based gestures. The presented research focuses on utilizing a built-in magnetic field sensor, whose readouts are intentionally affected by moving a strong permanent magnet around a smartphone device. Different approaches for supporting magnet-based Around-Device Interaction are applied, including magnetic field fingerprinting, curve-fitting modeling, and machine learning. We implemented the corresponding proof-of-concept applications that incorporate magnet-based interaction. Namely, text entry is achieved by discrete positioning of the magnet within a keyboard mockup, and free-move pointing is enabled by monitoring the magnet’s continuous movement in real-time. The related solutions successfully expand both the interaction language and the interaction space in front of the device without altering its hardware or involving sophisticated peripherals. A controlled experiment was conducted to evaluate the provided text entry method initially. The obtained results were promising (text entry speed of nine words per minute) and served as a motivation for implementing new interaction modalities. The use of neural networks has shown to be a better approach than curve fitting to support free-move pointing. We demonstrate how neural networks with a very small number of input parameters can be used to provide highly usable pointing with an acceptable level of error (mean absolute error of 3 mm for pointer position on the smartphone display).

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