Evidence map›Paper›PMID 39741550›Full record

Article3D printing and additive manufacturing2024

Establishment of Select Printing Parameters for Low-Cost Fused Deposition Modeling Printed Cast Iron Through Experimental Optimization.

Matthew Drummond, Abdelkrem Eltaggaz, Ibrahim Nouzil, Ibrahim Deiab

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Matthew DrummondSchool of Engineering, University of Guelph, Guelph, Ontario, Canada.ORCID https://orcid.org/0009-0008-7009-0984
Abdelkrem EltaggazSchool of Engineering, University of Guelph, Guelph, Ontario, Canada.ORCID https://orcid.org/0000-0003-0864-6386
Ibrahim NouzilSchool of Engineering, University of Guelph, Guelph, Ontario, Canada.
Ibrahim DeiabSchool of Engineering, University of Guelph, Guelph, Ontario, Canada.ORCID https://orcid.org/0000-0003-0596-3802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fused deposition modeling (FDM) form of additive manufacturing provides a low-cost opportunity to quickly create unique parts with complex geometries using a high degree of precision. This is accomplished through a layer-by-layer extrusion of a metallic infused thermoplastic from a heated nozzle onto a build plate, until the 3D part is achieved. The ability to produce cheaply manufactured FDM printed cast iron parts would allow industries to bypass casting lead times and create custom cast iron parts without a machined mold. However, there has been minimal research into FDM printing of cast iron and the corresponding effects of printing parameters. The current study aims to determine the acceptable printing parameter ranges for FDM printed cast iron. The effects of three printing parameters (flow rate, infill density, and layer height) were studied with regard to the porosity, shrinkage, mass, and volume of the FDM printed cast iron. A flow rate range of 145-185% was determined to provide good-quality print while an infill density in the range of 100-125% for most flow rates provided acceptable print quality. Furthermore, the layer height was determined to have no significant effect on the printed part. Regarding the effect of printing parameters on the shrinkage, mass, and volume of the FDM printed part, the study showed that increasing the flow rate and infill density resulted in reduced shrinkage and a higher relative sintered mass and volume. Additionally, increasing the layer height showed an insignificant change in the sintered mass, volume, and shrinkage. Sintered samples obtained densities ranging between 5.02 and 5.44 g/cc and porosity measurements from 7.14% to 18.85%. This is one of the first studies on the FDM printing of cast iron. The results would enable researchers and hobbyists to successfully print their first cast iron part.

Indexed as

3D printingcast ironFDMmetal AMoptimization

Identifiers

PMID39741550
PMCPMC11683428

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.