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 language | English (US) |
|---|---|
| Pages (from-to) | 235-245 |
| Number of pages | 11 |
| Journal | Nondestructive Testing and Evaluation |
| Volume | 11 |
| Issue number | 4 |
| DOIs | |
| State | Published - Aug 1 1994 |
| Externally published | Yes |
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All Science Journal Classification (ASJC) codes
- Materials Science(all)
- Mechanics of Materials
- Mechanical Engineering
- Physics and Astronomy(all)
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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 journal › Article
TY - JOUR
T1 - Parametric models for representing hysteresis curves
AU - Mandayam, Shreekanth
AU - Udpa, L.
AU - Udpa, S. S.
PY - 1994/8/1
Y1 - 1994/8/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0028137925&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0028137925&partnerID=8YFLogxK
U2 - 10.1080/10589759408956404
DO - 10.1080/10589759408956404
M3 - Article
AN - SCOPUS:0028137925
VL - 11
SP - 235
EP - 245
JO - Nondestructive Testing and Evaluation
JF - Nondestructive Testing and Evaluation
SN - 1058-9759
IS - 4
ER -