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Low silicon non-grain-oriented electrical steel: Linking magnetic properties with metallurgical factors

DSpace at IIT Bombay

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Title Low silicon non-grain-oriented electrical steel: Linking magnetic properties with metallurgical factors
 
Creator CHAUDHURY, A
KHATIRKAR, R
VISWANATHAN, NN
SINGAL, V
INGLE, A
JOSHI, S
SAMAJDAR, I
 
Subject lamination steels
texture
sheets
size
electrical steel
texture
grain size
watt loss
permeability
geometric mean regression
artificial neural network
 
Description Commercial supply, from several steel manufacturers, of low-silicon non-grain-oriented electrical steel was monitored over a span of several years. A total of 51 samples were selected-selected from many hundreds on the basis of large differences in magnetic properties, but absence of significant variations in chemistry (other than differences in silicon percentage). The selected samples were analyzed for crystallographic texture and for grain size. The data were carefully analyzed to bring out the effects of metallurgical variables, namely silicon %, grain size and crystallographic texture, on the magnetic properties using explicit functional relationships as well as artificial neural network (ANN). Among the explicit relationships, power law relationship appears to offer a best fit between magnetic properties and the metallurgical factors. ANN approach to the relationship, however, brought out predicted values with least error. (C) 2006
 
Publisher ELSEVIER SCIENCE BV
 
Date 2011-07-25T16:16:00Z
2011-12-26T12:51:26Z
2011-12-27T05:36:21Z
2011-07-25T16:16:00Z
2011-12-26T12:51:26Z
2011-12-27T05:36:21Z
2007
 
Type Article
 
Identifier JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, 313(1), 21-28
0304-8853
http://dx.doi.org/10.1016/j.jmmm.2006.11.217
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6729
http://hdl.handle.net/10054/6729
 
Language en