2019
DOI: 10.1016/j.applthermaleng.2019.114064
|View full text |Cite
|
Sign up to set email alerts
|

Modeling of surface roughness based on heat transfer considering diffusion among deposition filaments for FDM 3D printing heat-resistant resin

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
40
0
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 80 publications
(49 citation statements)
references
References 22 publications
0
40
0
1
Order By: Relevance
“…Also, there is an apparent step effect when thicker layers are used for printing [84]. Wang et al [109] predicted surface roughness of PEEK by developing a model. They found that there was a good agreement between the experimental and the predicted surface roughness and finally recommended a layer thickness of 0.15 mm for 3D printing of PEEK.…”
Section: Printing Layer Thicknessmentioning
confidence: 99%
See 4 more Smart Citations
“…Also, there is an apparent step effect when thicker layers are used for printing [84]. Wang et al [109] predicted surface roughness of PEEK by developing a model. They found that there was a good agreement between the experimental and the predicted surface roughness and finally recommended a layer thickness of 0.15 mm for 3D printing of PEEK.…”
Section: Printing Layer Thicknessmentioning
confidence: 99%
“…In terms of surface quality, Wang et al [109] developed a model for prediction of surface roughness of PEEK parts prepared via FFF-3D printing. They hypothesised that relationship between molecular diffusion, cross-sectional shape, and heat transfer constitutes a closed-loop.…”
Section: Bed Temperaturementioning
confidence: 99%
See 3 more Smart Citations