2009
DOI: 10.1007/s00170-007-1336-x
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Effect of growth restricting factor on grain refinement of aluminum alloys

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Cited by 59 publications
(27 citation statements)
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“…These results are consistent with previous studies (Girisha et al, 2012) that Mg can reduce the size of grains of aluminum. This result is also consistent with the theory of the Restriction Growth Factor (GRF) in which the segregation power of the Mg element in the aluminum alloy can be predicted by knowing the value of the growth-restriction parameter Q of Mg in the aluminum (Chandrashekar et al, 2009) by using Equation 1 as follows:…”
Section: Microstructure Of Alzrce/mg/al 2 O 3 Nanocompositessupporting
confidence: 88%
“…These results are consistent with previous studies (Girisha et al, 2012) that Mg can reduce the size of grains of aluminum. This result is also consistent with the theory of the Restriction Growth Factor (GRF) in which the segregation power of the Mg element in the aluminum alloy can be predicted by knowing the value of the growth-restriction parameter Q of Mg in the aluminum (Chandrashekar et al, 2009) by using Equation 1 as follows:…”
Section: Microstructure Of Alzrce/mg/al 2 O 3 Nanocompositessupporting
confidence: 88%
“…In general, the refinement of microstructure mainly has the following methods, such as chemical elements modification [9][10][11], electromagnetic vibration [12], ultrasonic vibration [13], and mechanical vibration [14]. The mechanical vibration has the potential to be a simple, economic, and effective method to refine microstructure and improve mechanical properties [15,16], which was first applied on the steel by Chernov [17].…”
Section: Introductionmentioning
confidence: 99%
“…Heterogeneous nucleation theory has been described in papers [1,17]. According to nucleation theory, the formation of an effective grain nucleus related to the volume free energy that was related to the change for liquid to solid phase and the interface fee energy that was essential for a new interface formation in the solidification [18].…”
Section: Cooling Curve Analysismentioning
confidence: 99%