2007
DOI: 10.1016/j.matdes.2005.10.007
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Optimization of mixing parameters through a water model for metal matrix composites synthesis

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Cited by 97 publications
(33 citation statements)
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“…Blade angle as 30 provides good level of axial flow and shearing action to such the solid particles into the melt from the melt surface and break the accumulation of mixing particles. Thus impeller blade angle 30 is suggested as optimal value to achieve homogeneous dispersion of reinforcements particles in the melt [2,12,13]. Stirrer size (d < 0.5 D) cause lack of suspension of particles at the center while stirrer size (d > 0.55 D) results particles concentrated at the center of the crucible base.…”
Section: Optimal Valuesmentioning
confidence: 99%
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“…Blade angle as 30 provides good level of axial flow and shearing action to such the solid particles into the melt from the melt surface and break the accumulation of mixing particles. Thus impeller blade angle 30 is suggested as optimal value to achieve homogeneous dispersion of reinforcements particles in the melt [2,12,13]. Stirrer size (d < 0.5 D) cause lack of suspension of particles at the center while stirrer size (d > 0.55 D) results particles concentrated at the center of the crucible base.…”
Section: Optimal Valuesmentioning
confidence: 99%
“…Aluminum matrix composites (AMCs), magnesium matrix composites, copper matrix composites are some examples of MMCs which are in demand these days in various applications such as automobile industries, aerospace industries, and electronics industries etc. due to their suitable properties with low cost availability [1,2]. Nowadays, aluminum matrix composites (AMCs) and hybrid aluminum matrix composites (HAMCs) are most commonly used MMCs [3].…”
Section: Introductionmentioning
confidence: 99%
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“…Prabu et al [8] and ElKaddah and Chang [9] studied the influence of stirring speed and stirring time on particle distribution by experiment. Naher et al [10], Ghosh and Ray [11], and Ravi et al [12] studied the effect of stirring speed on uniform distribution of particles by scaled-up visualization experiments simulation. Naher et al [13] attempted the particle distribution in the glycerol/water system with experimental and CFD simulation.…”
Section: Introductionmentioning
confidence: 99%