DOI: 10.18297/etd/2832
|View full text |Cite
|
Sign up to set email alerts
|

Design, analysis, and application of a cellular material/structure model for metal based additive manufacturing process.

Abstract: Powder bed fusion additive manufacturing (PBF-AM) has been broadly utilized to fabricate lightweight cellular structures, which have promising potentials in many engineering applications such as biomedical prosthesis, aerospace, and architectural structures due to their high performance-to-weight ratios and unique property tailorabilities. To date, there is still a lack of adequate understanding of how the cellular materials are influenced by both the geometry designs and process parameters, which significantl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 127 publications
(201 reference statements)
0
1
0
Order By: Relevance
“…Van Bael et al found that the dimension of L-PBF Ti64 lattice structures was influenced by the geometries of the parts, and therefore, the pore shape and relative density were significantly varied [24]. Zhang et al [25,26] and Yang et al [27] have investigated the effects of process parameters and scan strategies on the thin features in L-PBF, and found that the deposit with higher laser energy and which included contour scans would cause a larger offset to the as-built part.…”
Section: Introductionmentioning
confidence: 99%
“…Van Bael et al found that the dimension of L-PBF Ti64 lattice structures was influenced by the geometries of the parts, and therefore, the pore shape and relative density were significantly varied [24]. Zhang et al [25,26] and Yang et al [27] have investigated the effects of process parameters and scan strategies on the thin features in L-PBF, and found that the deposit with higher laser energy and which included contour scans would cause a larger offset to the as-built part.…”
Section: Introductionmentioning
confidence: 99%