Evidence map›Paper›PMID 34931153›Full record

ReviewMRS communications2021

Additively manufactured high-performance polymeric materials and their potential use in the oil and gas industry.

Eugene B Caldona, John Ryan C Dizon, Robert Andrew Viers, Vincent Joseph Garcia, Zane J Smith, Rigoberto C Advincula

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in MRS communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
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.

Eugene B CaldonaDepartment of Chemical and Biomolecular Engineering and Institute for Advanced Materials and Manufacturing, University of Tennessee, Knoxville, TN 37996 USA.
John Ryan C DizonDesign, Research, Extension in Additive Manufacturing, Advanced Materials and Advanced Manufacturing (DR3AM) Center, Office of Environmental Sustainability (OES), and Department of Industrial Engineering, Bataan Peninsula State University, 2100 City of Balanga, Bataan Philippines.
Robert Andrew ViersDepartment of Chemical and Biomolecular Engineering and Institute for Advanced Materials and Manufacturing, University of Tennessee, Knoxville, TN 37996 USA.
Vincent Joseph GarciaDepartment of Mining, Metallurgical, and Materials Engineering, University of the Philippines Diliman, 1101 Quezon City, Philippines.
Zane J SmithDepartment of Chemical and Biomolecular Engineering and Institute for Advanced Materials and Manufacturing, University of Tennessee, Knoxville, TN 37996 USA.
Rigoberto C AdvinculaDepartment of Chemical and Biomolecular Engineering and Institute for Advanced Materials and Manufacturing, University of Tennessee, Knoxville, TN 37996 USA.ORCID 0000-0002-2899-4778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The oil and gas industry has been tagged as among the largest revenue-generating sectors in the world. High-performance polymers (HPPs), on the other hand, are among the most useful industrial materials, while the utility of 3D printing technologies has evolved and transitioned from rapid prototyping of composite materials to manufacturing of functional parts. In this prospective, we highlight the potential uses and industrial applications of 3D-printed HPP materials in the oil and gas sector, including the challenges and opportunities present. GRAPHICAL ABSTRACT:

Indexed as

3D printingMembraneMetrologyPolymerPolymerizationSustainability

Identifiers

PMID34931153
PMCPMC8675114

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.