The paper deals with an engineering application of the inverse magnetostrictive Villari effect. This effect is usually modeled through multi-variate relationships, strongly non linear and with hysteresis. Here, the task is to provide a suitable formulation of those relationships aiming at a device able to measure mechanical force profiles with good accuracy. The device is analyzed and modeled by a mapping function, resulting in an algorithm that reconstructs the time profile of the applied force. A preliminary calibration characterization is carried out on a concept device that exploits Galfenol as magnetostrictive material. Finally, some tests performed with the aim of validating the algorithm and to estimate its performance are presented.

Analysis and Modeling of a passive force sensor based on Villari effect / Apicella, V.; Clemente, C. S.; Davino, D.; Leone, D.; Visone, C.. - In: MATHEMATICS AND COMPUTERS IN SIMULATION. - ISSN 0378-4754. - 183:(2021), pp. 234-243. [10.1016/j.matcom.2020.01.013]

Analysis and Modeling of a passive force sensor based on Villari effect

Visone C.
2021

Abstract

The paper deals with an engineering application of the inverse magnetostrictive Villari effect. This effect is usually modeled through multi-variate relationships, strongly non linear and with hysteresis. Here, the task is to provide a suitable formulation of those relationships aiming at a device able to measure mechanical force profiles with good accuracy. The device is analyzed and modeled by a mapping function, resulting in an algorithm that reconstructs the time profile of the applied force. A preliminary calibration characterization is carried out on a concept device that exploits Galfenol as magnetostrictive material. Finally, some tests performed with the aim of validating the algorithm and to estimate its performance are presented.
2021
Analysis and Modeling of a passive force sensor based on Villari effect / Apicella, V.; Clemente, C. S.; Davino, D.; Leone, D.; Visone, C.. - In: MATHEMATICS AND COMPUTERS IN SIMULATION. - ISSN 0378-4754. - 183:(2021), pp. 234-243. [10.1016/j.matcom.2020.01.013]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/888606
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