2019
DOI: 10.1007/978-981-32-9433-2_22
|View full text |Cite
|
Sign up to set email alerts
|

Experimental Investigations of Printing Parameters of Fused Deposition Modeling-Based 3D Printers for Average Surface Roughness

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

1
2
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 8 publications
1
2
0
Order By: Relevance
“…The obtained trend for Ra-ABS and Rq-ABS for increasing “A”, “C”, and “E”, while decreasing “D”, “F”, and “G”, respectively, agrees with the results of the research literature during parametric optimization for Ra-ABS and Rq-ABS using the FFF technique [ 7 , 35 , 50 , 54 , 64 , 65 , 66 , 67 ]. The factors “G” and “F” played a significant role on Ra-ABS and Rq-ABS and found significantly less values for Ra-ABS and Rq-ABS.…”
Section: Resultssupporting
confidence: 87%
See 1 more Smart Citation
“…The obtained trend for Ra-ABS and Rq-ABS for increasing “A”, “C”, and “E”, while decreasing “D”, “F”, and “G”, respectively, agrees with the results of the research literature during parametric optimization for Ra-ABS and Rq-ABS using the FFF technique [ 7 , 35 , 50 , 54 , 64 , 65 , 66 , 67 ]. The factors “G” and “F” played a significant role on Ra-ABS and Rq-ABS and found significantly less values for Ra-ABS and Rq-ABS.…”
Section: Resultssupporting
confidence: 87%
“…In contrast, the “1” gave the least Ra-ABS and Rq-ABS because the best adhesion in layers was joined together in lines [ 54 ]. Ra-ABS and Rq-ABS decreased with increasing “E” because the high temperature increases the molten flow, and it helps to decrease the surface roughness [ 65 ]. The parameter “E” ranked 4 with a delta value of 0.373 and 0.46 for Ra-ABS and Rq-ABS respectively, which shows that it is a vital parameter affecting the Ra-ABS and Rq-ABS.…”
Section: Resultsmentioning
confidence: 99%
“…Taguchi analysis was performed by the authors [14] to look into the best way to optimize the FFF 3DP process parameters. Taguchi and gray relational analysis were employed by Srivastava et al to examine and improve the FFF process parameters, and the results were quite promising [47]. The FFF processing parameters were investigated by Vyavahare et al, who then utilized a regression model to investigate the resulting data and improve the model [34].…”
Section: Introductionmentioning
confidence: 99%