2018
DOI: 10.1016/j.ijheatmasstransfer.2018.06.073
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A numerical investigation on the physical mechanisms of single track defects in selective laser melting

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Cited by 224 publications
(65 citation statements)
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“…This tendency is well known and several authors [12][13][14] have already observed it on various materials (such as aluminum alloys, maraging steels, stainless steels) processed using various manufacturing parameters. The increase in porosity rate observed at high VED, and assumed to be due to the destabilization of the key-hole welding mode is in full agreement with a recent simulation work by Tang [35].…”
Section: Comparison Of the Optimized Measurement Methodssupporting
confidence: 90%
“…This tendency is well known and several authors [12][13][14] have already observed it on various materials (such as aluminum alloys, maraging steels, stainless steels) processed using various manufacturing parameters. The increase in porosity rate observed at high VED, and assumed to be due to the destabilization of the key-hole welding mode is in full agreement with a recent simulation work by Tang [35].…”
Section: Comparison Of the Optimized Measurement Methodssupporting
confidence: 90%
“…(2) excessive melt temperature caused metal evaporation, and strong recoil pressure caused great disturbance to the stability of the molten pool [57].…”
Section: Multi-layer Deposition and Surface Remeltingmentioning
confidence: 99%
“…The models are classified into three categories according to the modeling scale: micro-scale, meso-scale, and macro-scale. The micro-scale model was aimed at calculating the grain growth and solidification microstructure, and the meso-scale model was adaptive to predict the fluid flow of melting pool and evolution of individual powder particles [ 7 , 8 , 9 , 10 ]. The macro-scale model based on the finite element method (FEM) has been employed to resolve the product-scale process evolution, which is appropriately adopted to predict the shrinkage and warping in this work.…”
Section: Introductionmentioning
confidence: 99%