2005
DOI: 10.1016/j.matchar.2005.01.015
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Microstructural aspects of grain growth kinetics in non-oriented electrical steels

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Cited by 29 publications
(17 citation statements)
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“…5) A classical method used by metallurgists to control both the microstructure and the texture of electrical steels is to control the precipitation of second-phase particles that are able to pin the grain boundaries. 6) In silicon steels, for non-oriented, electrical steel sheets, aluminium and manganese form AlN and MnS, respectively. These non-metallic inclusions act as grain-growth inhibitors during the recrystallization.…”
Section: Introductionmentioning
confidence: 99%
“…5) A classical method used by metallurgists to control both the microstructure and the texture of electrical steels is to control the precipitation of second-phase particles that are able to pin the grain boundaries. 6) In silicon steels, for non-oriented, electrical steel sheets, aluminium and manganese form AlN and MnS, respectively. These non-metallic inclusions act as grain-growth inhibitors during the recrystallization.…”
Section: Introductionmentioning
confidence: 99%
“…Grain non-oriented (GNO) electrical steels are widely used in electrical equipment from the simplest domestic appliances to hybrid and pure electric vehicles [3][4][5]. For these applications, low core losses and high permeability are required [1][2][3][4][5][6][7]; these magnetic properties are strongly influenced …”
Section: Introductionmentioning
confidence: 99%
“…For these applications, low core losses and high permeability are required [1][2][3][4][5][6][7]; these magnetic properties are strongly influenced …”
Section: Introductionmentioning
confidence: 99%
“…High permeability and low iron loss have been particularly required in recent years in order to achieve higher efficiency and hence energy saving. Therefore it is important to control the final microstructure of these steels in terms of grain size and crystallographic texture [6]. Grain size optimization has attracted much attention and almost approached its limit by controlling chemical compositions and processing variables at each step [7].…”
Section: Introductionsmentioning
confidence: 99%