Evidence map›Paper›PMID 38620917›Full record

ArticleAdditive manufacturing letters2021

Distributed manufacturing: A case study in additive manufacturing face masks for the COVID-19 pandemic.

Alex Roschli, Peter Wang, Christopher Hershey, Brian Post, John Lindahl, Lonnie Love

Open access · goldAbstract read
In one paragraph

Article in Additive manufacturing letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Publications About COVID-19 Research by the BME Community.Annals of biomedical engineering · 2022
    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

6 authors at 1 institution in 1 country.

Alex RoschliOak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37830, United States.
Peter WangOak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37830, United States.
Christopher HersheyOak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37830, United States.
Brian PostOak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37830, United States.
John LindahlOak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37830, United States.
Lonnie LoveOak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37830, United States.
Oak Ridge National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the onset of the COVID-19 (Coronavirus Disease 2019) pandemic, USA faced supply chain issues causing a nationwide shortage of N95 respirators and PAPR devices. Researchers at Oak Ridge National Laboratory's (ORNL) Manufacturing Demonstration Facility (MDF) were sent to work from home to help slow the spread of the pandemic, and during that time they were tasked with using their manufacturing expertise to research alternative methods of producing face masks. To rapidly iterate on face mask designs without access to a research or manufacturing facility, 3D (3-Dimensional) printing and silicone casting were used. Molds and components for the masks are modeled with computer-aided design (CAD), printed with common home desktop 3D printers, and test poured with skin-safe silicone rubber. The resultant masks are form fitting and comfortable to wear. To ease the shortage of N95 filter media, the masks are designed to use existing filter materials such as home HVAC (heating, ventilation, and air conditioning) filters. The masks can be sanitized, and the filter replaced to allow the same mask to be reused. The result is not equivalent to an N95 mask, and not meant to be a replacement, but is meant to be a stopgap mask that is still able to provide the wearer filtered protection. Filtration testing has not been performed because it is not the intention of the authors to make medical claims. This research is meant to demonstrate the rapid design, iteration, and manufacturing processes of a stopgap mask.

Indexed as

COVID-19Face maskFacial respiratorN95PandemicPAPRSilicone casting

Identifiers

PMID38620917
PMCPMC8520592
OpenAlexW3205146322

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.