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Low silicon non-grain-oriented electrical steel: Linking magnetic properties with metallurgical factors
Department of Metallurgical Engineering and Materials Science, Indian Institute of Technology, Bombay.
Department of Metallurgical Engineering and Materials Science, Indian Institute of Technology, Bombay.
Corporate R and D and Quality, Crompton Greaves Ltd., Kanjur (East), Mumbai.
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2007 (English)In: Journal of Magnetism and Magnetic Materials, ISSN 0304-8853, E-ISSN 1873-4766, Vol. 313, no 1, p. 21-28Article in journal (Refereed) Published
Abstract [en]

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

Place, publisher, year, edition, pages
2007. Vol. 313, no 1, p. 21-28
Identifiers
URN: urn:nbn:se:ltu:diva-2644DOI: 10.1016/j.jmmm.2006.11.217Local ID: 04be9bf4-c61f-46c8-8acc-b793cff44236OAI: oai:DiVA.org:ltu-2644DiVA, id: diva2:975497
Note
Uppr├Ąttat; 2012; 20121005 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-05-28Bibliographically approved

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