Parametric models for representing hysteresis curves

Shreekanth Mandayam, L. Udpa, S. S. Udpa

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, a novel method for modeling the B-H characteristics of ferromagnetic materials is discussed. The method finds application in numerical finite element models for computing the leakage fields in magnetostatic nondestructive testing. The method is computationally simple and employs a neural network approach using Radial Basis Functions for representing the hysteresis loop as a closed curve and expands a periodic contour function in a Fourier series. The second technique, though parsimonious in terms of data storage requirements, is computationally more intensive.

Original languageEnglish (US)
Pages (from-to)235-245
Number of pages11
JournalNondestructive Testing and Evaluation
Volume11
Issue number4
DOIs
StatePublished - Aug 1 1994
Externally publishedYes

Fingerprint

Hysteresis
hysteresis
Ferromagnetic materials
Magnetostatics
ferromagnetic materials
Fourier series
magnetostatics
curves
data storage
Hysteresis loops
Nondestructive examination
leakage
Neural networks
Data storage equipment
requirements

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering
  • Physics and Astronomy(all)

Cite this

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Parametric models for representing hysteresis curves. / Mandayam, Shreekanth; Udpa, L.; Udpa, S. S.

In: Nondestructive Testing and Evaluation, Vol. 11, No. 4, 01.08.1994, p. 235-245.

Research output: Contribution to journalArticle

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