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利用由修正的弗洛里-哈金斯相互作用参数确定的预测模型对丁腈橡胶的溶胀响应和耐油性进行系统研究。

Systematic Investigation on the Swelling Response and Oil Resistance of NBR Using the Prediction Models Determined by the Modified Flory-Huggins Interaction Parameter.

作者信息

Jing Yiran, Liu Guangyong

机构信息

Key Laboratory of Rubber-Plastics, Ministry of Education, Qingdao University of Science & Technology, Qingdao 266042, China.

出版信息

Polymers (Basel). 2024 Sep 24;16(19):2696. doi: 10.3390/polym16192696.

DOI:10.3390/polym16192696
PMID:39408408
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11478506/
Abstract

The equilibrium swelling test was employed to determine the swelling response of Nitrile Butadiene Rubber (NBR) with various acrylonitrile (ACN) contents, and the three-dimensional solubility parameter (HSP) and modified Flory-Huggins interaction parameter (χ) were used to establish the prediction model of the oil-resistant property. The results indicate that the energy difference (Ra) between NBR and solvents calculated by HSP values can be correlated with the swelling response qualitatively with an inversed "S-shape", and high swelling response occurs at Ra < 8 MPa for NBR. For the purpose of establishing the prediction model, the new modified χ value has been calculated and fitted with the swelling response using exponential and logarithmic fittings, respectively. Two prediction models considering all the possible influencing factors have been obtained to determine the swelling response and oil resistance of NBR-based rubber products in bio-fuels, represented by the bio-diesel and IRM 903 test oil in this work. The swelling response of NBR can be evaluated precisely, and high swelling regions can be predicted and avoided in the new emerging fuels through the prediction models. Thus, the oil resistance of NBR-based rubber products, such as seals, holes and gaskets can be well predicted now.

摘要

采用平衡溶胀试验来测定不同丙烯腈(ACN)含量的丁腈橡胶(NBR)的溶胀响应,并利用三维溶解度参数(HSP)和修正的弗洛里 - 哈金斯相互作用参数(χ)建立耐油性能预测模型。结果表明,通过HSP值计算得到的NBR与溶剂之间的能量差(Ra)与溶胀响应呈定性的反“S形”相关,当Ra < 8 MPa时,NBR出现高溶胀响应。为建立预测模型,计算了新的修正χ值,并分别采用指数拟合和对数拟合将其与溶胀响应进行拟合。得到了两个考虑所有可能影响因素的预测模型,以确定以生物柴油和IRM 903试验油为代表的生物燃料中NBR基橡胶制品的溶胀响应和耐油性。通过预测模型可以精确评估NBR的溶胀响应,并在新兴燃料中预测和避免高溶胀区域。因此,现在可以很好地预测NBR基橡胶制品(如密封件、孔洞和垫圈)的耐油性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/cdc601315a1d/polymers-16-02696-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/875c32c9b94a/polymers-16-02696-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/cdc601315a1d/polymers-16-02696-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/875c32c9b94a/polymers-16-02696-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/8c1f310e4a29/polymers-16-02696-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/73d65c514c0a/polymers-16-02696-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/75d3f47616a7/polymers-16-02696-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/1511002e5cc6/polymers-16-02696-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/b7544d56707c/polymers-16-02696-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/3f9befb6a757/polymers-16-02696-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2c/11478506/cdc601315a1d/polymers-16-02696-g010a.jpg

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