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Neurofuzzy modelling of moisture absorption kinetics and its effect on the mechanical properties of pineapple fibre-reinforced polypropylene composite
Journal of Composite Materials ( IF 2.9 ) Pub Date : 2019-08-20 , DOI: 10.1177/0021998319870581
J Lilly Mercy 1 , R Velmurugan 2 , T Sasipraba 3 , Chrystella Jacob 4
Affiliation  

Natural fibres possess low density, less abrasiveness, good strength and sound absorption capacity and its significance lies in being renewable and biodegradable. The mechanical characteristics and moisture absorption of pineapple fibres reinforced with polypropylene resin are focused in this study. Chopped fibres and unidirectional fibre mats of pineapple were reinforced with polypropylene resin to make pineapple fibre/polypropylene composites. The length of the pineapple fibres and the orientation of the layup of the fibre mats are varied to make composite specimens and the mechanical properties are tested. Moisture absorption studies were carried out and it was confirmed to follow Fickian diffusion. A total of 384 samples were tested and it was observed that all the samples reached its saturation in moisture absorption before 720 h and the strength was inversely proportional to the moisture absorbed. Specimens reinforced with unidirectional fibre mats of alternate orientation possessed high strength irrespective of the moisture absorbed when compared to the specimens reinforced with chopped fibres of random orientation. Neuro fuzzy modelling using ANFIS tool box in MATLAB was used to correlate the static mechanical properties of pineapple fibre-reinforced polymer under different moisture conditions, fibre orientations, fibre volume percentage, fibre size, etc.

中文翻译:

吸湿动力学的神经模糊建模及其对菠萝纤维增强聚丙烯复合材料力学性能的影响

天然纤维密度低、磨损性小、强度和吸声能力好,其意义在于可再生和可生物降解。本研究重点研究了聚丙烯树脂增强菠萝纤维的力学特性和吸湿性。菠萝的短切纤维和单向纤维垫用聚丙烯树脂增强,制成菠萝纤维/聚丙烯复合材料。菠萝纤维的长度和纤维垫的铺层方向是不同的,以制作复合材料试样并测试机械性能。进行了吸湿研究,并证实其遵循 Fickian 扩散。总共测试了 384 个样品,观察到所有样品在 720 小时前达到其吸湿饱和,并且强度与吸湿成反比。与用随机取向的短切纤维增强的试样相比,无论吸收的水分如何,用交替取向的单向纤维垫增强的试样都具有高强度。使用 MATLAB 中的 ANFIS 工具箱的神经模糊建模用于关联菠萝纤维增强聚合物在不同水分条件、纤维取向、纤维体积百分比、纤维尺寸等下的静态力学性能。与用随机取向的短切纤维增强的试样相比,无论吸收的水分如何,用交替取向的单向纤维垫增强的试样都具有高强度。使用 MATLAB 中的 ANFIS 工具箱的神经模糊建模用于关联菠萝纤维增强聚合物在不同水分条件、纤维取向、纤维体积百分比、纤维尺寸等下的静态力学性能。与用随机取向的短切纤维增强的试样相比,无论吸收的水分如何,用交替取向的单向纤维垫增强的试样都具有高强度。使用 MATLAB 中的 ANFIS 工具箱的神经模糊建模用于关联菠萝纤维增强聚合物在不同水分条件、纤维取向、纤维体积百分比、纤维尺寸等下的静态力学性能。
更新日期:2019-08-20
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