Multi-parameter optimization (grey relational analysis) and modeling of a cellulosic plant/glass fiber hybrid reinforced polymer composite (P x G y E z ) for offshore pressure vessels development

IF 3.1 Q2 MATERIALS SCIENCE, COMPOSITES
B. Samuel, M. Sumaila, B. Dan-asabe
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引用次数: 5

Abstract

The aim of this research is to produce more environmentally friendly materials for offshore applications. Due to their high water absorption, cellulosic fibers are known to be hydrophilic, making composites reinforced with them perform poorly and unreliable in humid settings. Previous research has focused on the development of natural fiber-based composite materials, but none has focused on the optimization of these cellulosic-based fiber-reinforced composites for offshore applications where weight, water absorption, and strength are important considerations. This paper presents the optimization of the composite material P x G y E z (with x, y, and z representing the volume fraction of pineapple leaf fiber (PALF) (P), the volume fraction of glass fiber (G), and fiber length respectively in an epoxy matrix) using the grey relational analysis for offshore pressure vessels. The material at 10% PALF, 15% glass fiber, and 15 mm fiber length, which is, P10G15E15 was the optimum, having a grey relational grade of 0.716. Also, statistical analysis showed that the treated PALF fibers contributed 45.73% to the water absorption properties of the P x G y E z composites as compared to the 0.3% contribution of glass fiber to the grey relational grade and a 9.5% contribution of fiber length. Also, there was an improvement in the grey relational grade by 73.61%. SEM and Fourier-transform infrared spectroscopy (FTIR) analysis showed microstructural and chemical formations that explained the water absorption behavior of the optimized hybrid composite. Also, regression analysis was carried out and an equation was developed for the prediction of grey relational grades at different combinations of P x G y E z . A thick pressure vessel developed with the optimized material was simulated and results showed operational reliability with its yield starting at 30.01 MPa, which is 44.98% higher than the 20.7 MPa limit by the ASME X Class I cylinders.
用于海上压力容器开发的纤维素植物/玻璃纤维混杂增强聚合物复合材料(P x G y E z)的多参数优化(灰色关联分析)和建模
这项研究的目的是为海上应用生产更环保的材料。由于纤维素纤维的高吸水性,已知其具有亲水性,因此用它们增强的复合材料在潮湿环境中表现不佳且不可靠。先前的研究集中在天然纤维基复合材料的开发上,但没有一项研究集中在优化这些纤维素基纤维增强复合材料的海上应用上,因为在海上应用中,重量、吸水率和强度是重要的考虑因素。本文采用灰色关联分析法对海上压力容器复合材料P x G y E z(x、y和z分别表示菠萝叶纤维(PALF)的体积分数(P)、玻璃纤维(G)的体积百分比和纤维长度)进行了优化。在10%PALF、15%玻璃纤维和15mm纤维长度下的材料,即P10G15E15是最佳的,具有0.716的灰色关系等级。此外,统计分析表明,处理后的PALF纤维对P x G y E z复合材料的吸水性能的贡献率为45.73%,而玻璃纤维对灰色关联度的贡献率是0.3%,纤维长度的贡献率则是9.5%。此外,灰色关联度提高了73.61%。SEM和傅里叶变换红外光谱(FTIR)分析显示了微观结构和化学组成,解释了优化的杂化复合材料的吸水行为。此外,还进行了回归分析,并建立了预测不同P x G y E z组合下灰关联度的方程。对用优化材料开发的厚壁压力容器进行了模拟,结果表明,其工作可靠性为30.01MPa,比ASME X一级汽缸的20.7MPa极限高出44.98%。
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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来源期刊
Functional Composites and Structures
Functional Composites and Structures Materials Science-Materials Science (miscellaneous)
CiteScore
4.80
自引率
10.70%
发文量
33
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