IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v183y2021icp234-243.html
   My bibliography  Save this article

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

Author

Listed:
  • Apicella, Valerio
  • Clemente, Carmine Stefano
  • Davino, Daniele
  • Leone, Damiano
  • Visone, Ciro

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.

Suggested Citation

  • Apicella, Valerio & Clemente, Carmine Stefano & Davino, Daniele & Leone, Damiano & Visone, Ciro, 2021. "Analysis and Modeling of a passive force sensor based on Villari effect," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 234-243.
  • Handle: RePEc:eee:matcom:v:183:y:2021:i:c:p:234-243
    DOI: 10.1016/j.matcom.2020.01.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475420300203
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2020.01.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:183:y:2021:i:c:p:234-243. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.