Evidence map›Paper›PMID 36146060›Full record

ArticlePolymers2022

Carbon/Basalt Fibers Hybrid Composites: Hybrid Design and the Application in Automobile Engine Hood.

Yongfeng Pu, Baichuan Liu, Guilian Xue, Hongyu Liang, Fangwu Ma, Meng Yang, Guangdong Tian

Abstract read
In one paragraph

Article in Polymers, 2022. 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
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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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

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0 citing papers in PubMed.

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

7 authors.

Yongfeng PuState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.ORCID 0000-0001-5255-3326
Baichuan LiuState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.
Guilian XueState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.ORCID 0000-0002-7471-5389
Hongyu LiangState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.
Fangwu MaState Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.ORCID 0000-0002-0007-0549
Meng YangAutomobile Research Institute of China Heavy Duty Automobile Group Co., Ltd., Jinan 250031, China.
Guangdong TianSchool of Mechanical-Electrical and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China.ORCID 0000-0001-5488-1198

Funding

Key Funding of Science and Technology Department of Jilin Province 20200401144GXProvince Science and Technology Development Plan Project YDZJ202102CXJD017
6 · The paper itself

Abstract

The low-velocity impact properties and the optimal hybrid ratio range for improving the property of hybrid composites are studied, and the application of hybrid composites in automobile engine hoods is discussed in this paper. The low-velocity impact properties of the hybrid composite material are simulated under different stacking sequences and hybrid ratios by finite element simulation, and the accuracy of the finite element model (FEM) is verified through experiments. Increasing the proportion of carbon fiber (CF) in the hybrid layer and placing the basalt fiber (BF) on the compression side can improve the energy absorption capacity under low-velocity impact loads. CF/BF hybrid composite hoods are optimized based on the steel hood and the low-velocity impact performance of the hybrid composite. The BCCC layer absorbs the most energy under low-velocity impact loads. Compared with CFRP, the energy absorbed under 10 J and 20 J impact energy is increased by 26.1% and 14.2%, respectively. Through the low-velocity impact properties of hybrid composites, we found that placing BF on the side of the load and keep the ratio below 50%, while increasing the proportion of CF in the hybrid laminate can significantly improve the property of the hybrid laminate. The results show that the stiffness and modal properties of the hybrid composite can meet the design index requirements, and the pedestrian protection capability of the hood will also increase with the increase in the proportion of BF.

Indexed as

carbon/basalt hybrid compositescarbon/basalt hybrid composites hoodhybrid designlow-velocity impact properties

Identifiers

PMID36146060
PMCPMC9506581

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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.