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Fibre attributes and mapping the cultivar influence of different industrial cellulosic crops (cotton, hemp, flax, and canola) on textile properties

机译:纤维属性和绘制不同工业纤维素作物(棉,大麻,亚麻和油菜)对纺织性质的品种影响

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Natural lignocellulosic fibres (NLF) extracted from different industrial crops (like cotton, hemp, flax, and canola) have taken a growing share of the overall global use of natural fibres required for manufacturing consumer apparels and textile substrate. The attributes of these constituent NLF determine the end product (textiles) performance and function. Structural and microscopic studies have highlighted the key behaviors of these NLF and understanding these behaviors is essential to regulate their industrial production, engineering applications, and harness their benefits. Breakthrough scientific successes have demonstrated textile fibre properties and significantly different mechanical and structural behavioral patterns related to different cultivars of NLF, but a broader agenda is needed to study these behaviors. Influence of key fibre attributes of NLF and properties of different cultivars on the performance of textiles are defined in this review. A likelihood analysis using scattergram and Pearson's correlation followed by a two-dimensional principal component analysis (PCA) to single-out key properties explain the variations and investigate the probabilities of any cluster of similar fibre profiles. Finally, a Weibull distribution determined probabilistic breaking tenacities of different fibres after statistical analysis of more than 60 (N60) cultivars of cotton, canola, flax, and hemp fibres.
机译:从不同工业作物中提取的天然木质纤维素纤维(NLF)(如棉花,大麻,亚麻和油菜籽)所含有越来越多的全球使用制造消费者服装和纺织基材所需的天然纤维的份额。这些成分NLF的属性确定最终产品(纺织品)性能和功能。结构和微观研究突出了这些NLF的关键行为,并且了解这些行为对于规范其工业生产,工程应用,以及利用它们的利益至关重要。突破性的科学成功已经证明纺织纤维性能和与NLF不同品种有关的纺织纤维性能和显着不同的机械和结构行为模式,但需要更广泛的议程来研究这些行为。本综述定义了NLF关键纤维属性对不同品种的性能与不同品种的性能的影响。使用散点图和Pearson相关性的似然分析随后是二维主成分分析(PCA)到单次密钥属性解释了变化并调查了任何类似光纤配置文件群集的概率。最后,在统计分析超过60(n> 60)棉,油菜,亚麻和大麻纤维的统计分析后,魏勃尔分布确定了不同纤维的概率破碎款项。

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