当前位置: X-MOL 学术Bioresour. Bioprocess. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fibre attributes and mapping the cultivar influence of different industrial cellulosic crops (cotton, hemp, flax, and canola) on textile properties
Bioresources and Bioprocessing ( IF 4.3 ) Pub Date : 2020-09-26 , DOI: 10.1186/s40643-020-00339-1
Ikra Iftekhar Shuvo

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 (N > 60) cultivars of cotton, canola, flax, and hemp fibres.



中文翻译:

纤维特性和不同工业纤维素作物(棉花,大麻,亚麻和油菜)对纺织品特性的品种影响图

从不同的工业作物(如棉花,大麻,亚麻和油菜)中提取的天然木质纤维素纤维(NLF)在制造消费服装和纺织品基材所需的天然纤维的全球总体使用中所占的份额越来越大。这些组成的NLF的属性决定了最终产品(纺织品)的性能和功能。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,工程应用和利用其利益至关重要。突破性的科学成功已经证明了纺织纤维的特性以及与NLF不同品种相关的显着不同的机械和结构行为模式,但是研究这些行为还需要更广泛的议程。本文定义了NLF关键纤维属性和不同品种的特性对纺织品性能的影响。使用散点图和Pearson相关性进行的似然分析,然后进行二维主成分分析(PCA),以筛选出关键特性,从而解释了这种变化并研究了任何类似纤维轮廓的簇的概率。最后,经过60余次统计分析后,威布尔分布确定了不同纤维的概率断裂韧度(使用散点图和Pearson相关性进行的似然分析,然后进行二维主成分分析(PCA),以筛选出关键特性,从而解释了这种变化并研究了任何类似纤维轮廓的簇的概率。最后,经过60余次统计分析后,威布尔分布确定了不同纤维的概率断裂韧度(使用散点图和Pearson相关性进行的似然分析,然后进行二维主成分分析(PCA),以筛选出关键特性,从而解释了这种变化并研究了任何类似纤维轮廓的簇的概率。最后,经过60余次统计分析后,威布尔分布确定了不同纤维的概率断裂韧度(N  > 60)棉花,低芥酸菜子,亚麻和大麻纤维的品种。

更新日期:2020-09-28
down
wechat
bug