Evidence map›Paper›PMID 37896299›Full record

ArticlePolymers2023

Analysis of Mechanical Properties and Structural Analysis According to the Multi-Layered Structure of Polyethylene-Based Self-Reinforced Composites.

Seonghun Yu, Junhee Lee, Jongkyu Kim, Hojong Chang, Chansol Kang, Jeehyun Sim

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Seonghun YuDYETEC (Dyeing & Finishing Technology Institute), Computer Aided Engineering (CAE) Center, Daegu 41706, Republic of Korea.ORCID 0000-0002-3326-493X
Junhee LeeDYETEC (Dyeing & Finishing Technology Institute), Computer Aided Engineering (CAE) Center, Daegu 41706, Republic of Korea.
Jongkyu KimDepartment of Energy Engineering, Shinhan University, 95, Hoam-ro, Uijeongbu-si 11644, Republic of Korea.
Hojong ChangKAIST Institute for Information Technology Convergence Intergrated Sensor Team, KAIST, Daejeon 34141, Republic of Korea.
Chansol KangDepartment of Advanced Materials Engineering, Shinhan University, 95, Hoam-ro, Uijeongbu-si 11644, Republic of Korea.ORCID 0000-0001-8633-9635
Jeehyun SimDYETEC (Dyeing & Finishing Technology Institute), Computer Aided Engineering (CAE) Center, Daegu 41706, Republic of Korea.

Funding

Korea Evaluation Institute of Industrial Technology N0002602
6 · The paper itself

Abstract

In this research, a self-reinforced composite material was manufactured using a single polyethylene material, and this self-reinforced composite material has excellent recyclability and is environmentally friendly compared to composite materials composed of other types of material, such as glass fiber reinforced composites (GFRP) and carbon fiber reinforced composites (CFRP). In this research, the manufactured self-reinforced composite material consists of an outer layer and an inner layer. To manufacture the outer layer, low density polyethylene (LDPE) films were laminated on high density polyethylene (HDPE) fabrics and knitted fabrics, and composite materials were prepared at various temperatures using hot stamping. A 3D printing process was utilized to manufacture the inner layer. After designing a structure with a cross-sectional shape of a triangle, circle, or hexagon, the inner layer structure was manufactured by 3D printing high-density polyethylene material. As an adhesive film for bonding the outer layer and the inner layer, a polyethylene-based self-reinforced composite material was prepared using a low-density polyethylene material. Input data for simulation of self-reinforced composite materials were obtained through tensile property analysis using a universal testing machine (UTM, Shimadzu, Kyoto, Japan), and the physical property values derived as output data and actual experimental values were obtained. As a result of the comparison, the error rate between simulation data and experimental data was 5.4% when the shape of the inner layer of self-reinforced composite material was a hexagon, 3.6% when it was a circle, and 7.8% when a triangular shape showed the highest value. Simulation in a virtual space can reduce the time and cost required for actual research and can be important data for producing high-quality products.

Indexed as

compression simulationhot stampinginterfacial bonding forcepolyethylene-based self-reinforcing compositesrecyclability

Identifiers

PMID37896299
PMCPMC10610435

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.