2017
DOI: 10.1016/j.ijheatmasstransfer.2017.04.055
|View full text |Cite
|
Sign up to set email alerts
|

Modeling of thermal behavior and mass transport in multi-layer laser additive manufacturing of Ni-based alloy on cast iron

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

2
40
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
6
3
1

Relationship

1
9

Authors

Journals

citations
Cited by 169 publications
(42 citation statements)
references
References 31 publications
2
40
0
Order By: Relevance
“…The contour of the cooling rate is shown in Figure 17 (c), where the cooling rate is highest at the top and bottom of the initial melt pool's borders and has its lowest values in the middle of the centerline. The cooling rate is a good indicator for the size of the grains or dendrites forming during solidification where lower cooling rates lead to bigger grain or dendrite sizes [15], [16]. Thijs et al [63] reported that the microstructure at the bottom of the melt pool is much finer than the one found in the internal region, which is in accordance with the cooling rate contour shown in Figure 17 (c).…”
Section: Case Idsupporting
confidence: 64%
“…The contour of the cooling rate is shown in Figure 17 (c), where the cooling rate is highest at the top and bottom of the initial melt pool's borders and has its lowest values in the middle of the centerline. The cooling rate is a good indicator for the size of the grains or dendrites forming during solidification where lower cooling rates lead to bigger grain or dendrite sizes [15], [16]. Thijs et al [63] reported that the microstructure at the bottom of the melt pool is much finer than the one found in the internal region, which is in accordance with the cooling rate contour shown in Figure 17 (c).…”
Section: Case Idsupporting
confidence: 64%
“…Monitoring of advanced manufacturing processes to evaluate changes in thermal history, structure and properties is crucial for an understanding of the physical phenomena that occur during the process and for closed-loop control of built properties in AM 1618 . In particular, thermal models of powder-blown additive manufacturing processes use simplified laser absorptivity parameters for the substrate and powders even though absorptivity changes with laser power, scan speed, powder flow rate, the laser induced vapor-plasma plume and the inert gas environment 1822 . The predicted thermal histories and structures from such models are highly sensitive to laser energy absorptivity during the process 2326 , underscoring the need for experiments that reveal how the substrate and powder deposition absorb the laser beam.…”
Section: Introductionmentioning
confidence: 99%
“…Temperature gradient G and growth rate R have influence on the morphology and size of solidification microstructure, as shown in Figure 3b. As the simulation result of multi-layer deposited [30,31], G/R and G × R is 177 s/mm 2 and 6010 K/s at first layer where its second dendrite arm spacing is 1.9 μm. The G/R and G × R is 154 s/mm 2 and 3980 K/s at the sixth layer where its second dendrite arm spacing decreased to 3.1 μm.…”
Section: Resultsmentioning
confidence: 99%