Evidence map›Paper›PMID 38895520›Full record

ArticleRSC advances2024

Structural features of biobased composite foams revealed by X-ray tomography.

Swapnil Morankar, Rebecca Mort, Greg Curtzwiler, Keith Vorst, Shan Jiang, Nikhilesh Chawla

Abstract read
In one paragraph

Article in RSC advances, 2024. 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

6 authors.

Swapnil MorankarSchool of Materials Engineering, Purdue University West Lafayette IN 47907 USA nikc@purdue.edu.ORCID https://orcid.org/0000-0001-7366-5968
Rebecca MortDeparatment of Materials Science and Engineering, Iowa State University Ames IA 50011 USA sjiang1@iastate.edu.
Greg CurtzwilerPolymer and Food Protection Consortium, Iowa State University Ames IA 50011 USA.ORCID https://orcid.org/0000-0002-4300-7937
Keith VorstPolymer and Food Protection Consortium, Iowa State University Ames IA 50011 USA.
Shan JiangDeparatment of Materials Science and Engineering, Iowa State University Ames IA 50011 USA sjiang1@iastate.edu.ORCID https://orcid.org/0000-0001-8119-9012
Nikhilesh ChawlaSchool of Materials Engineering, Purdue University West Lafayette IN 47907 USA nikc@purdue.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymer foams can have heterogeneous and complex internal structures, especially when material blends or particles have been integrated to create composites. It becomes even more challenging to probe and understand foam structure/properties when using non-uniform particles, such as biobased fillers. Optical or SEM imaging can only provide limited information as these are two-dimensional (2D) surface techniques. In this study, 3D X-ray tomography was applied to comprehensively analyze the structural features of biobased polyurethane foams containing porous rice hull fillers. The in-depth characterization at a wide range of length scale enabled us to quantify and obtain statistics of the unique trends in foam pore size and pore orientation corresponding to rice hull particle fraction and particle size. Rice hull particles were found to induce smaller cell formation. In addition, these biobased particles influenced cell expansion and caused cells to have less consistent orientation. Furthermore, after foam samples were subjected to cyclic compressive loading, X-ray tomography showed fractures in large (>100 μm) particles. This helps reveal the premature failing mechanism of composite foams with highly porous and coarse particles. The study elucidates novel microstructural evolution and deformation mechanisms using 3D X-ray tomography. The results offer new insights on internal structures for biobased composites and foams that are not previously possible through the conventional characterization tools.

Identifiers

PMID38895520
PMCPMC11184367

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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.