Evidence map›Paper›PMID 36855618›Full record

ArticleACS materials Au2021

Structure-Processing-Property Relationships of 3D Printed Porous Polymeric Materials.

Ciera E Cipriani, Taekwang Ha, Oliver B Martinez Defilló, Manoj Myneni, Yifei Wang, Chandler C Benjamin, Jyhwen Wang, Emily B Pentzer, Peiran Wei

Abstract read
In one paragraph

Article in ACS materials Au, 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. Article
  3. Article
  4. Article
  5. Scalable 3D-printed lattices for pressure control in fluid applications.AIChE journal. American Institute of Chemical Engineers · 2021
    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

9 authors.

Ciera E CiprianiDepartment of Materials Science and Engineering, Texas A&M University, College Station, Texas 77845, United States.
Taekwang HaDepartment of Multidisciplinary Engineering, Texas A&M University, College Station, Texas 77843, United States.
Oliver B Martinez DefillóDepartment of Materials Science and Engineering, Texas A&M University, College Station, Texas 77845, United States.
Manoj MyneniDepartment of Mechanical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Yifei WangDepartment of Materials Science and Engineering, Texas A&M University, College Station, Texas 77845, United States.
Chandler C BenjaminDepartment of Mechanical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Jyhwen WangDepartment of Mechanical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Emily B PentzerDepartment of Materials Science and Engineering, Texas A&M University, College Station, Texas 77845, United States.ORCID https://orcid.org/0000-0001-6187-6135
Peiran WeiDepartment of Materials Science and Engineering, Texas A&M University, College Station, Texas 77845, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imparting porosity to 3D printed polymeric materials is an attractive option for producing lightweight, flexible, customizable objects such as sensors and garments. Although methods currently exist to introduce pores into 3D printed objects, little work has explored the structure-processing-property relationships of these materials. In this study, photopolymer/sacrificial paraffin filler composite inks were produced and printed by a direct ink writing (DIW) technique that leveraged paraffin particles as sacrificial viscosity modifiers in a matrix of commercial elastomer photocurable resin. After printing, paraffin was dissolved by immersion of the cured part in an organic solvent at elevated temperature, leaving behind a porous matrix. Rheometry experiments demonstrated that composites with between 40 and 70 wt % paraffin particles were able to be successfully 3D printed; thus, the porosity of printed objects can be varied from 43 to 73 vol %. Scanning electron microscopy images demonstrated that closed-cell porous structures formed at low porosity values, whereas open-cell structures formed at and above approximately 53 vol % porosity. Tensile tests revealed a decrease in elastic modulus as the porosity of the material was increased. These tests were simulated using finite element analysis (FEA), and it was found that the Neo-Hookean model was appropriate to represent the 3D printed porous material at lower and higher void fractions within a 75% strain, and the Ogden model also gave good predictions of porous material performance. The transition between closed- and open-cell behaviors occurred at 52.4 vol % porosity in the cubic representative volume elements used for FEA, which agreed with experimental findings that this transition occurred at approximately 53 vol % porosity. This work demonstrates that the tandem use of rheometry, FEA, and DIW enables the design of complex, tailorable 3D printed porous structures with desired mechanical performance.

Identifiers

PMID36855618
PMCPMC9888614

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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.