2015
DOI: 10.1063/1.4937905
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Thermal evolution behavior and fluid dynamics during laser additive manufacturing of Al-based nanocomposites: Underlying role of reinforcement weight fraction

Abstract: Role of melt behavior in modifying oxidation distribution using an interface incorporated model in selective laser melting of aluminum-based material

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Cited by 79 publications
(39 citation statements)
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“…Meanwhile, the network microstructure of SLM-processed composite performed regularly (Figure 3c). This phenomenon was attributed to Marangoni convection [2,17]. As a large laser power was used, a considerable intensity of Marangoni convection was obtained, which evidently favored the sufficient spreading of reinforcements.…”
Section: Microstructure Characterzationmentioning
confidence: 96%
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“…Meanwhile, the network microstructure of SLM-processed composite performed regularly (Figure 3c). This phenomenon was attributed to Marangoni convection [2,17]. As a large laser power was used, a considerable intensity of Marangoni convection was obtained, which evidently favored the sufficient spreading of reinforcements.…”
Section: Microstructure Characterzationmentioning
confidence: 96%
“…Meanwhile, the primary phase of Si was also generated during SLM, which was mainly consistent with the previous reports. The diffraction peaks with relatively weak intensity corresponding to the new silica-rich phase (aluminum silicate, i.e., Al 2 aluminum matrix, i.e., the AlSi10Mg phase. Meanwhile, the primary phase of Si was also generated during SLM, which was mainly consistent with the previous reports.…”
Section: Numerical Simulationmentioning
confidence: 99%
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“…[1][2][3][4][5] In the laser assisted AM, the variables include laser power, scanning speed, power density, powder flow rate, gas flow conditions, beam traverse path, hatch spacing, layer thickness, and many thermo-physical properties including thermal conductivity, specific heat, density, and solidus and liquidus temperatures of the alloy. [6][7][8][9] Achieving structurally sound and reliable components by AM involves understanding and controlling many process variables individually and in appropriate combinations.…”
Section: Introductionmentioning
confidence: 99%
“…The excessive amount of energy absorbed by the materials during this time leads to increased peak surface temperature of the molten pool. Higher temperature gradient results in instability in the solid-liquid surface, hence obtaining a scan track with fluctuating profile and segregation[63]. In addition, due to very high power and slow scanning speed the material might get superheated which may cause evaporation and mass loss of material.…”
mentioning
confidence: 99%