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用球形和圆柱形夹杂进行混沌增强的聚合物复合材料建模。

Modeling of Polymer Composite Materials Chaotically Reinforced with Spherical and Cylindrical Inclusions.

作者信息

Berladir Kristina, Zhyhylii Dmytro, Gaponova Oksana, Krmela Jan, Krmelová Vladimíra, Artyukhov Artem

机构信息

Department of Applied Materials Science and Technology of Constructional Materials, Sumy State University, 2, Rymskogo-Korsakova St., 40007 Sumy, Ukraine.

Department of Computational Mechanics Named after Volodymyr Martsynkovskyy, Sumy State University, 2, Rymskogo-Korsakova St., 40007 Sumy, Ukraine.

出版信息

Polymers (Basel). 2022 May 20;14(10):2087. doi: 10.3390/polym14102087.

DOI:10.3390/polym14102087
PMID:35631969
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9144413/
Abstract

The technical and economic efficiency of new PCMs depends on the ability to predict their performance. The problem of predicting the properties of PCMs can be solved by computer simulation by the finite element method. In this work, an experimental determination of the physical and mechanical properties of PTFE PCMs depending on the concentration of fibrous and dispersed filler was carried out. A finite element model in ANSYS APDL was built to simulate the strength and load-bearing capacity of the material with the analysis of damage accumulation. Verification of the developed computer model to predict the mechanical properties of composite materials was performed by comparing the results obtained during field and model experiments. It was found that the finite element model predicts the strength of chaotically reinforced spherical inclusions of composite materials. This is due to the smoothness of the filler surfaces and the lack of filler dissection in the model. Instead, the prediction of the strength of a finite element model of chaotically reinforced cylindrical inclusions of composite materials requires additional analysis. The matrix and the fibrous filler obviously have stress concentrators and are both subject to the difficulties of creating a reliable structural model.

摘要

新型相变材料的技术和经济效率取决于预测其性能的能力。通过有限元法进行计算机模拟可以解决预测相变材料性能的问题。在这项工作中,开展了根据纤维状和分散填料浓度对聚四氟乙烯相变材料物理和力学性能进行实验测定。在ANSYS APDL中建立了有限元模型,通过损伤累积分析来模拟材料的强度和承载能力。通过比较现场实验和模型实验获得的结果,对所开发的用于预测复合材料力学性能的计算机模型进行了验证。发现有限元模型能够预测复合材料中无序增强球形夹杂物的强度。这是由于填料表面的光滑性以及模型中填料无切割。相反,预测复合材料中无序增强圆柱形夹杂物的有限元模型的强度需要额外分析。基体和纤维状填料显然存在应力集中器,并且都面临创建可靠结构模型的困难。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/bfb5de377704/polymers-14-02087-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/1b9e2d5ac78f/polymers-14-02087-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/94221ee105b6/polymers-14-02087-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/c03ab4314b4e/polymers-14-02087-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/e117d0bf610c/polymers-14-02087-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/46c361c4951b/polymers-14-02087-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/0fbc92131392/polymers-14-02087-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/bfb5de377704/polymers-14-02087-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/1b9e2d5ac78f/polymers-14-02087-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/94221ee105b6/polymers-14-02087-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/c03ab4314b4e/polymers-14-02087-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/e117d0bf610c/polymers-14-02087-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/46c361c4951b/polymers-14-02087-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/0fbc92131392/polymers-14-02087-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6b/9144413/bfb5de377704/polymers-14-02087-g007.jpg

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