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基于有限元的代表性体积单元法评估回收高密度聚乙烯基体中球形碳化硅夹杂物的拉伸性能

Evaluation of tensile properties of spherical shaped SiC inclusions inside recycled HDPE matrix using FEM based representative volume element approach.

作者信息

Sahu Santosh Kumar, Sreekanth P S Rama

机构信息

School of Mechanical Engineering, VIT-AP University, Inavolu, Besides AP Secretariat, Amaravati, Andhra Pradesh, 522237, India.

出版信息

Heliyon. 2023 Feb 26;9(3):e14034. doi: 10.1016/j.heliyon.2023.e14034. eCollection 2023 Mar.

DOI:10.1016/j.heliyon.2023.e14034
PMID:36925524
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10011209/
Abstract

In the current study, a FEM-based representative volume element (RVE) technique is used to evaluate the elastic modulus of recycled high-density polyethylene (rHDPE) filled spherical-shaped shaped silicon carbide (SiC). In the ANSYS 2019, the material designer (MD) module is used to generate a 3D RVE of 500 × 500 × 500 μm cuboid, with randomly dispersed spherical SiC particles (i.e., 10, 15, 20, and 30% volume fractions) inside rHDPE. The Young's modulus values extracted from the RVE technique at various volume % are substantially nearer to experimental data than other micromechanical models. The tensile performance of the composite is simulated, and it was noted that the maximum equivalent stress of 4.1133 MPa for rHDPE/30% SiC composite, which is decreased to 13.8, 7.8 and 6.8% for rHDPE/10% SiC, rHDPE/15% SiC and rHDPE/20% SiC composite respectively. The results are astounding for immediate application in the relevant field of interest.

摘要

在当前研究中,基于有限元法的代表性体积单元(RVE)技术被用于评估填充球形碳化硅(SiC)的再生高密度聚乙烯(rHDPE)的弹性模量。在ANSYS 2019中,材料设计器(MD)模块用于生成一个尺寸为500×500×500μm的长方体三维RVE,其中rHDPE内部随机分散着球形SiC颗粒(即体积分数分别为10%、15%、20%和30%)。从RVE技术在不同体积百分比下提取的杨氏模量值比其他微观力学模型更接近实验数据。对复合材料的拉伸性能进行了模拟,结果表明,rHDPE/30%SiC复合材料的最大等效应力为4.1133MPa,而rHDPE/10%SiC、rHDPE/15%SiC和rHDPE/20%SiC复合材料的最大等效应力分别降低了13.8%、7.8%和6.8%。这些结果令人震惊,可立即应用于相关感兴趣的领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/c2fa261ae1c9/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/e8d6e98258b9/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/feadf596e9c9/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/376fc3a8fbbe/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/d035031ecf4b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/127c9f1ff96b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/1cb34e8afbf6/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/e519f7083b1a/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/c2fa261ae1c9/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/e8d6e98258b9/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/feadf596e9c9/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/376fc3a8fbbe/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/d035031ecf4b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/127c9f1ff96b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/1cb34e8afbf6/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/e519f7083b1a/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77f5/10011209/c2fa261ae1c9/gr8.jpg

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