2017
DOI: 10.1016/j.apsusc.2017.05.033
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Mechanism of surface morphology in electron beam melting of Ti6Al4V based on computational flow patterns

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Cited by 28 publications
(7 citation statements)
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“…The term 2 The radiation heat loss is given by [21] 44 1 The moving laser beam is described by a Gaussian distribution [32] (16) where I is the beam power density, P is the laser power,  is the absorption coefficient, r is the beam radius, ( 0x , 0 z ) describes the starting position of the laser beam, 0 v denotes the scanning velocity. Due to the concern of computational cost, our model ignores the Fresnel reflections of the laser beam [33,34].…”
Section: Cfd Simulation Of Heat Transfer and Melt Flow Dynamicsmentioning
confidence: 99%
See 1 more Smart Citation
“…The term 2 The radiation heat loss is given by [21] 44 1 The moving laser beam is described by a Gaussian distribution [32] (16) where I is the beam power density, P is the laser power,  is the absorption coefficient, r is the beam radius, ( 0x , 0 z ) describes the starting position of the laser beam, 0 v denotes the scanning velocity. Due to the concern of computational cost, our model ignores the Fresnel reflections of the laser beam [33,34].…”
Section: Cfd Simulation Of Heat Transfer and Melt Flow Dynamicsmentioning
confidence: 99%
“…With the complex physical phenomena at microsecond and micrometer scales, it is challenging to monitor the SLM process by experiments. An attractive alternative to reveal the physical mechanisms of SLM defects is through predictive numerical simulation [16]. Korner et al [17] employed lattice Boltzmann method (LBM) to simulate the electron beam melting (EBM) process in 2D, including single layer and layer upon layer consolidation.…”
Section: Introductionmentioning
confidence: 99%
“…Upon increase of energy density, either by a change in beam current or scan speed, the roughness of the surface was found to be higher. This correlation was found in several studies, not only for EBM [44], but also for SLM [45]. However, in some studies focusing on SLM built parts, the roughness was reduced by an increase in energy density due to an increase in laser power or a decrease in scan speed [46,47].…”
Section: Roughness Of Ti6al4vmentioning
confidence: 69%
“…Based on fast process observation and simulation results of the molten pool formation under different process parameters, , Ti64 particles were fully melted to liquid by an electron beam in milliseconds and formed a molten pool, while the particles located far from the center of the beam were partially melted without enough energy (Figure ). As the electron beam was moved away, the molten pool cooled down and solidified very fast; the topography of the porous samples is a typical shape caused by this process as shown in Figure B,C.…”
Section: Results and Discussionmentioning
confidence: 99%