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炭黑填充对橡胶超弹性力学行为影响的研究

Study of the Effect of Carbon Black Filling on the Mechanical Behavior of Rubber Hyper-Elasticity.

作者信息

Wang Zepeng, Yao Xiulong, Hu Fangru, Ma Chuanxiang, Li Xinyan, Miao Zhanli, Song Junping, Ma Lianxiang, Li Wei

机构信息

College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China.

Department of Energy Engineering, Zhejiang University, Hangzhou 310027, China.

出版信息

Materials (Basel). 2023 Oct 5;16(19):6561. doi: 10.3390/ma16196561.

DOI:10.3390/ma16196561
PMID:37834697
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10573621/
Abstract

We have particularly investigated the correlation law of the effect of different carbon black fillings on the hyper-elastic mechanical behavior of natural rubber by conducting uniaxial tensile tests over a wide range of deformations with different volume fractions of carbon black fillings (0%, 4.7%, 8.9%, 12.8%, 16.4%, 19.7%, 22.7% and 25.2%). The results show that the stress-strain curve for carbon black filled rubber increases with the amount of filling, meaning that the rubber gradually becomes "harder". We explore the correlation between the carbon black filling volume and the parameters of the Yeoh constitutive model by examining the Yeoh constitutive model to characterize the hyper-elastic mechanical behavior of rubber with different carbon black fillings. A quantitative relationship between the material parameters and the carbon black filling volume in the Yeoh constitutive model is presented. A method for calculating the material parameters of the Yeoh constitutive model is developed, and it predicts the correlation between the hyper-elastic properties of rubber and the volume fraction of the carbon black filling.

摘要

我们通过对不同体积分数(0%、4.7%、8.9%、12.8%、16.4%、19.7%、22.7%和25.2%)的炭黑填充天然橡胶在大范围变形下进行单轴拉伸试验,特别研究了不同炭黑填充量对天然橡胶超弹性力学行为的影响规律。结果表明,炭黑填充橡胶的应力-应变曲线随填充量的增加而上升,这意味着橡胶逐渐变得“更硬”。我们通过考察Yeoh本构模型来表征不同炭黑填充量橡胶的超弹性力学行为,探索炭黑填充量与Yeoh本构模型参数之间的相关性。给出了Yeoh本构模型中材料参数与炭黑填充量之间的定量关系。开发了一种计算Yeoh本构模型材料参数的方法,该方法预测了橡胶超弹性性能与炭黑填充体积分数之间的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/f87868b854a7/materials-16-06561-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/29215b42acf3/materials-16-06561-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/93d61cb4f801/materials-16-06561-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/52b16bd63138/materials-16-06561-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/17e6c7ea019e/materials-16-06561-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/326d4ecd7a6b/materials-16-06561-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/0e177006abf1/materials-16-06561-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/6f5050253db3/materials-16-06561-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/eb2358726f45/materials-16-06561-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/f87868b854a7/materials-16-06561-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/29215b42acf3/materials-16-06561-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/93d61cb4f801/materials-16-06561-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/52b16bd63138/materials-16-06561-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/17e6c7ea019e/materials-16-06561-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/326d4ecd7a6b/materials-16-06561-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/0e177006abf1/materials-16-06561-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/6f5050253db3/materials-16-06561-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/eb2358726f45/materials-16-06561-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0188/10573621/f87868b854a7/materials-16-06561-g009.jpg

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