Evidence map›Paper›PMID 39458754›Full record

ReviewPolymers2024

A Review of the Biomimetic Structural Design of Sandwich Composite Materials.

Shanlong Che, Guangliang Qu, Guochen Wang, Yunyan Hao, Jiao Sun, Jin Ding

Abstract readReview
In one paragraph

Review in Polymers, 2024. 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. Article
  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

6 authors.

Shanlong CheNaval Architecture and Port Engineering College, Shandong Jiaotong University, Weihai 264209, China.
Guangliang QuNaval Architecture and Port Engineering College, Shandong Jiaotong University, Weihai 264209, China.
Guochen WangNaval Architecture and Port Engineering College, Shandong Jiaotong University, Weihai 264209, China.
Yunyan HaoNaval Architecture and Port Engineering College, Shandong Jiaotong University, Weihai 264209, China.
Jiao SunSchool of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, China.
Jin DingNaval Architecture and Port Engineering College, Shandong Jiaotong University, Weihai 264209, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sandwich composites are widely used in engineering due to their excellent mechanical properties. Accordingly, the problem of interface bonding between their panels and core layers has always been a hot research topic. The emergence of biomimetic technology has enabled the integration of the structure and function of biological materials from living organisms or nature into the design of sandwich composites, greatly improving the interface bonding and overall performance of heterogeneous materials. In this paper, we review the most commonly used biomimetic structures and the fusion design of multi-biomimetic structures in the engineering field. They are analyzed with respect to their mechanical properties, and several biomimetic structures derived from abstraction in plants and animals are highlighted. Their structural advantages are further discussed specifically. Regarding the optimization of different interface combinations of multilayer composites, this paper explores the optimization of simulations and the contributions of molecular dynamics, machine learning, and other techniques used for optimization. Additionally, the latest molding methods for sandwich composites based on biomimetic structural design are introduced, and the materials applicable to different processes, as well as their advantages and disadvantages, are briefly analyzed. Our research results can help improve the mechanical properties of sandwich composites and promote the application of biomimetic structures in engineering.

Indexed as

additive manufacturingbiomimetic structure designinterlayer interface optimization

Identifiers

PMID39458754
PMCPMC11510969

What OpenQuestion holds

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LicenceCC BY
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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.