Evidence map›Paper›PMID 41953285›Full record

ArticleRapid prototyping journal2025

Reducing particulate emissions from 3D printers using low-cost enclosures and engineering controls.

Christopher Barnes, Nick Dye, Colleen O'Connor, Duane Hammond

Abstract read
In one paragraph

Article in Rapid prototyping journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Christopher BarnesCenters for Disease Control and Prevention, Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA.
Nick DyeCenters for Disease Control and Prevention, Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA.
Colleen O'ConnorCenters for Disease Control and Prevention, Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA.
Duane HammondCenters for Disease Control and Prevention, Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Purpose –: Previous studies have shown that emissions from 3D printing can impact worker health. To address this concern, this study aims to evaluate the efficacy of low-cost engineering controls in reducing particle emissions from two fused filament fabrication (FFF) 3D printers. Controls included four custom designs using 3D printed parts, a blower fan, and HEPA filters (Controls A-D); two low-cost fume extractors (Controls E and F); exhaust ventilation to outdoor air (Control G); along with two enclosures, one flexible (Enclosure 1) and one rigid (Enclosure 2). Design/methodology/approach –: Each control and enclosure was evaluated with two different FFF 3D printers in an emissions test chamber. Control efficiency was quantified by comparing average particle emissions at the chamber outlet with and without the controls and enclosures in place, while printing the National Institute of Standards and Technology test artifact with acrylonitrile butadiene styrene filament. Findings –: The minimum control efficiencies (MCE), the lowest efficiency measured for each control at the lower limit of the 95% confidence interval, of Controls A-G ranged from 84.36 to 99.95% for both printers. Control G was the most effective with an MCE ≥ 98.35% for both printers, while Control F was the least effective with an MCE ≥ 84.36% for both. The MCEs of Enclosures 1 and 2 were 91.2% and 80.2% for Printer A and 94.97% and 67.3% for Printer B. Originality/value –: This study demonstrated that low-cost engineering controls and enclosures that are not printer or material specific can be integrated with FFF 3D printing technologies to reduce particle emissions during 3D printing processes to protect worker health.

Indexed as

3D PrintingContaminant mitigationControl systemsEngineering designFused deposition modellingventilation

Identifiers

PMID41953285
PMCPMC13055847

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.