动态湿度扩散通过聚酯/玻璃纤维复合材料

IF 2.1 4区材料科学 Q3 MATERIALS SCIENCE, COMPOSITES

Plastics, Rubber and Composites Pub Date : 2021-06-14 DOI:10.1080/14658011.2021.1938866

Mohamed Ounaies, H. Ben Daly

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引用次数: 1

摘要

摘要:本文对聚酯/玻璃纤维复合材料的动态湿度扩散进行了统计研究。分析了温度、流速、压力等环境条件对复合材料中湿度扩散的影响。分为实验方案和数据分析两部分，利用实验结果，通过突出影响参数的作用来分析湿度扩散过程。温度、压力、流速和填料添加剂(ASP400)添加量的增加会导致扩散系数和吸湿量的增大。可以肯定，流速和压力对扩散参数的影响大于温度。此外，填料添加剂(ASP400)添加量的增加减小了压力和流速对扩散参数的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dynamic humidity diffusion through the polyester/glass fibre composite

ABSTRACT This is a statistical study of the dynamic humidity diffusion through the polyester/glass fibre composite. It analyses the influence of the environmental conditions like the temperature, the flow velocity and the pressure on the humidity diffusion through the composite material. It is divided into an experimental plan and a data analysis, which exploit the experimental results in order to analyse the process of humidity diffusion by highlighting the effects of the influencing parameters. The increase in the temperature, the pressure, the flow velocity and the percentage of fillers additives (ASP400) induce an augmentation in the diffusion coefficient and the amount of absorbed humidity. We can affirm that the flow velocity and the pressure have a higher impact on the diffusion parameters than the temperature. Moreover, the increase in the percentage of the fillers additives (ASP400) decreases the effect of the pressure and the flow velocity on the diffusion parameters.

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来源期刊

Plastics, Rubber and Composites 工程技术-材料科学：复合

CiteScore

4.10

自引率

0.00%

发文量

审稿时长

4 months

期刊介绍： Plastics, Rubber and Composites: Macromolecular Engineering provides an international forum for the publication of original, peer-reviewed research on the macromolecular engineering of polymeric and related materials and polymer matrix composites. Modern polymer processing is increasingly focused on macromolecular engineering: the manipulation of structure at the molecular scale to control properties and fitness for purpose of the final component. Intimately linked to this are the objectives of predicting properties in the context of an optimised design and of establishing robust processing routes and process control systems allowing the desired properties to be achieved reliably.