Evidence map›Paper›PMID 37896369›Full record

ArticlePolymers2023

Effective Properties for the Design of Basalt Particulate-Polymer Composites.

Jong-Hwan Yun, Yu-Jae Jeon, Min-Soo Kang

Abstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

3 authors.

Jong-Hwan YunMobility Materials-Parts-Equipment Center, Kongju National University, Gongju-si 32588, Republic of Korea.ORCID 0000-0003-1445-5930
Yu-Jae JeonDepartment of Medical Rehabilitation Science, Yeoju Institute of Technology, Yeoju 12652, Republic of Korea.
Min-Soo KangDivision of Smart Automotive Engineering, Sun Moon University, Asan-si 31460, Republic of Korea.

Funding

This research was supported by the Regional Innovation Strategy (RIS) of the National Research Foundation of Korea (NRF) funded by the Ministry of Education (MOE) 2021RIS-004This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korean government (MSIT) No2022R1G1A1004962
6 · The paper itself

Abstract

In this study, preliminary simulations were performed to manufacture thermoplastic composites that can be processed by injection. For analysis, a basalt particulate-polymer composite model was manufactured and its elastic modulus, shear modulus, thermal expansion coefficient, and thermal conductivity were predicted using finite-element analysis (FEA) and micromechanics. Polypropylene (PP), polyamide 6, polyamide 66, and polyamide (PA) were employed as the polymer matrix, with the variations in their properties investigated based on the volume fraction of basalt. The polymer-basalt composite's properties were analyzed effectively using FEA and the micromechanics model. FEA was performed by constructing a 3D model based on the homogenization technique to analyze the effective properties. The micromechanics model was analyzed numerically using the mixture rule, and the Mital, Guth, and Halpin-Tsai models. As a result, it is best to analyze the effective properties of polymer-basalt composites using the Halpin-Tsai model, and it is necessary to conduct a comparative analysis through actual experiments. In the future, actual composite materials need to be developed and evaluated based on the findings of this study.

Indexed as

basalt powdercompositepolymer

Identifiers

PMID37896369
PMCPMC10610629

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Registered trials

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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.