In this paper, starting from the experimental data obtained with an empirical measurement device developed for this purpose, it has been determined a simple and accurate model (based on a small number of parameters) that allows to represent the relative magnetic permeability of the magneto-rheological fluids as a function of the magnetic field in which it is immersed in. The model thus obtained is in excellent agreement with the experimental data. In fact the obtained error is approximately of 8%.

Modeling of Magnetorheological Fluids Relative Magnetic Permeability by using a Neural Network approach

Lo Sciuto G.;Capizzi G.
2020-01-01

Abstract

In this paper, starting from the experimental data obtained with an empirical measurement device developed for this purpose, it has been determined a simple and accurate model (based on a small number of parameters) that allows to represent the relative magnetic permeability of the magneto-rheological fluids as a function of the magnetic field in which it is immersed in. The model thus obtained is in excellent agreement with the experimental data. In fact the obtained error is approximately of 8%.
2020
978-1-7281-5200-4
Gabor system
magnetic permeability
magnetorheological fluids
neural network
File in questo prodotto:
File Dimensione Formato  
Modeling_of_Magnetorheological_Fluids_Relative_Magnetic_Permeability_by_using_a_Neural_Network_approach.pdf

solo utenti autorizzati

Tipologia: Versione Editoriale (PDF)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 1.26 MB
Formato Adobe PDF
1.26 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/503724
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 8
social impact