Morphology and Compressive Properties of Extruded Polyethylene Terephthalate Foam.

Zhicheng Zhang, Chunling Xin, Chiyuan Ma, Wenchong Xu, Feng Ren, Yadong He

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In one paragraph

Article in Polymers, 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

0.7field-weighted citation impact, top 40% 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

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3 · Its place in the literature

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0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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.

Zhicheng ZhangCollege of Mechanical and Electronically Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

Chunling XinCollege of Mechanical and Electronically Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

Chiyuan MaCollege of Mechanical and Electronically Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

Wenchong XuCollege of Mechanical and Electronically Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

Feng RenCollege of Mechanical and Electronically Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

Yadong HeCollege of Mechanical and Electronically Engineering, Beijing University of Chemical Technology, Beijing 100029, China.ORCID 0000-0002-7618-0023

Beijing University of Chemical Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cell structure and compressive properties of extruded polyethylene terephthalate (PET) foam with different densities were studied. The die of the PET foaming extruder is a special multi-hole breaker plate, which results in a honeycomb-shaped foam block. The SEM analysis showed that the aspect ratio and cell wall thickness of the strand border is greater than that of the strand body. The cells are elongated and stronger in the extruding direction, and the foam anisotropy of the structure and compressive properties decrease with increasing density. The compression results show typical stress-strain curves even though the extruded PET foam is composed of multiple foamed strands. The compression properties of PET foam vary in each of the three directions, with the best performing direction (i.e., extrusion direction) showing stretch-dominated structures, while the other two directions show bending-dominated structures. Foam mechanics models based on both rectangular and elongated Kelvin cell geometries were considered to predict the compressive properties of PET foams in terms of relative density, structure anisotropy, and the properties of the raw polymer. The results show that the modulus and strength anisotropy of PET foam can be reasonably predicted by the rectangular cell model, but more accurate predictions were obtained with an appropriately assumed elongated Kelvin model.

Indexed as

anisotropyaspect ratiocompressive propertieselongated Kelvin modelextruded PET foamrectangular model

Identifiers

PMID38543382

DOI10.3390/polym16060776

PMCPMC10975675

OpenAlexW4392709456

What OpenQuestion holds

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LicenceCC BY

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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.