Relationship between Fiber Fineness and Diameter of Three Bast Fibers

Relationship between Fiber Fineness and Diameter of Three Bast Fibers
复制标题

三种麻纤维的纤维细度与直径的关系

DOI:
10.1080/15440478.2021.1877233
复制
发表时间:
2021-03
影响因子:
3.5
通讯作者:
Wei Jiang
Wei Jiang
中科院分区:
材料科学3区
文献类型:
--
作者:
Qian Geng;Chengfeng Zhou;Kai Nie;Wanwan Lv;Haoxi Ben;Guangting Han;Wei Jiang

文献摘要

参考文献

相似文献

摘要天然植物纤维是纺织工业的优良原料。纤维细度、长度和强度是衡量纤维质量的三个重要指标。纤维细度是指纤维的粗细,通常用单位长度的质量表示。纤维细度和纤维直径之间的关系对于深入了解新纤维非常重要。在这项研究中,收集了三种不同的天然纤维,以测量纤维细度,直径和密度。利用扫描电子显微镜(SEM)对纤维截面进行了检测,并建立了纤维细度与直径的相关方程。结果表明:振动法能得到较低的纤维细度值;所有关联式对不同直径的纤维细度预测精度较高,大部分预测误差小于10%。在最终的方程中,罗布麻、苎麻、红麻纤维的相关系数分别为0.825、0.69、0.975。
ABSTRACT Natural plant fibers are outstanding materials in textile industry. The fiber fineness, length and strength are three of the most important indexes to evaluate the fiber quality. Fiber fineness refers to the thickness of the fiber, which is usually expressed by the mass per unit length. The relationship between fiber fineness and fiber diameter is very important for deeper understanding of a new fiber. In this study, three different natural fibers were collected to measure the fiber fineness, diameter, and density. Furthermore, SEM was conducted to detect the fiber cross section, and the correlation equations were constructed between the fiber fineness and diameter. Results showed that vibration method could generate a lower fiber fineness value; all the correlation equations had high accuracy to predict fiber fineness with different diameters, and most of the prediction errors were lower than 10%. In the final equations, the coefficients were 0.825, 0.69, 0.975 of apocynum, ramie, and kenaf fiber, respectively.
DOI: --
发表时间: 2004-09
期刊: --
影响因子: --
作者:
M. Ahmed;S. K. Chattopadhyay;A. Chaphekar;R. Gaikwad;S. K. Dey
通讯作者: M. Ahmed;S. K. Chattopadhyay;A. Chaphekar;R. Gaikwad;S. K. Dey
DOI: 10.1080/02773813.2017.1303514
发表时间: 2017-01-01
影响因子: 2
作者:
Jiang, Wei;Han, Guangting;Via, Brian
通讯作者: Via, Brian
DOI: 10.15376/biores.13.3.5598-5607
发表时间: 2018-06
期刊: BioResources
影响因子: 1.5
作者:
Wei Jiang;Shaoyang Liu;Chengfeng Zhou;Shouwu Gao;Yan Song;Wei Li;Wei-guo Zhu;Yu-ming Lv;Guangting Han
通讯作者: Wei Jiang;Shaoyang Liu;Chengfeng Zhou;Shouwu Gao;Yan Song;Wei Li;Wei-guo Zhu;Yu-ming Lv;Guangting Han
DOI: 10.1080/15440478.2018.1532857
发表时间: 2020-05-03
影响因子: 3.5
作者:
Liu, Jing;Song, Yan;Jiang, Wei
通讯作者: Jiang, Wei
DOI: 10.1080/15440478.2018.1492486
发表时间: 2020-02-01
影响因子: 3.5
作者:
Pandey, Ritu;Sinha, Mukesh Kumar;Dubey, Amarish
通讯作者: Dubey, Amarish