2017
DOI: 10.1007/s40964-017-0022-2
|View full text |Cite
|
Sign up to set email alerts
|

Investigations for obtaining desired strength of Nylon6 and Fe powder-based composite wire for FDM feedstock filament

Abstract: In the present work, an effort has been made for modelling the peak strength of Nylon6-Fe powder composite-based feedstock filament (wire) for fused deposition modelling (FDM) process. The developed filament has been used to prepare functional prototypes with ferromagnetic characteristics. The methodology involves the use of historical data approach of response surface methodology (RSM) to study the effect of input process parameters (namely: barrel temperature, die temperature, screw speed, speed of the windi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 18 publications
0
3
0
Order By: Relevance
“…For details on performing HDD, refer to the software manual guide from [31] based on a case study by [32]. Both [6,8] explicitly mentioned and applied HDD, where previous, un-designed, and experimental or observational data were used as inputs for RSM analysis to optimize energy consumption and plastic strength.…”
Section: Rsm-odmentioning
confidence: 99%
See 1 more Smart Citation
“…For details on performing HDD, refer to the software manual guide from [31] based on a case study by [32]. Both [6,8] explicitly mentioned and applied HDD, where previous, un-designed, and experimental or observational data were used as inputs for RSM analysis to optimize energy consumption and plastic strength.…”
Section: Rsm-odmentioning
confidence: 99%
“…Several pieces of research on chemical engineering and food production [6,7] have demonstrated that observational-data-based RSM (RSM-OD) provided a fitted mathematical model to find an optimal factor setting. Other research used the observed data from a running process or equipment as the input for RSM-OD, as shown in the work of [8] for steel production and [9] with pollutant removal processes.…”
Section: Introductionmentioning
confidence: 99%
“…[ 16 ] has utilized nylon 6 powders to produce tissue engineering scaffolds using SLS‐based 3D printing technique to observe the biocompatibility and in vivo implantation. Garg and Singh [ 17 ] observed the effect of processing parameters, such as barrel temperature, screw speed, and die temperature of extruder with the help of response surface methodology and further used FDM‐based technology to print nylon 6 with excessive amount of Fe (50%, 55%, and 60 wt%). Richardson et al.…”
Section: Introductionmentioning
confidence: 99%