A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation.

Jieyao Qin, Mingxi Lu,Bin Li, Xiaorui Li, Guangming You,Linjian Tan,Yikui Zhai,Meilin Huang,Yingzhu Wu

Polymers(2023)

引用 1|浏览2
暂无评分
摘要
To accelerate the industrialization of bicomponent fibers, fiber-based flexible devices, and other technical fibers and to protect the property rights of inventors, it is necessary to develop fast, economical, and easy-to-test methods to provide some guidance for formulating relevant testing standards. A quantitative method based on cross-sectional in-situ observation and image processing was developed in this study. First, the cross-sections of the fibers were rapidly prepared by the non-embedding method. Then, transmission and reflection metallographic microscopes were used for in-situ observation and to capture the cross-section images of fibers. This in-situ observation allows for the rapid identification of the type and spatial distribution structure of the bicomponent fiber. Finally, the mass percentage content of each component was calculated rapidly by AI software according to its density, cross-section area, and total test samples of each component. By comparing the ultra-depth of field microscope, differential scanning calorimetry (DSC), and chemical dissolution method, the quantitative analysis was fast, accurate, economical, simple to operate, energy-saving, and environmentally friendly. This method will be widely used in the intelligent qualitative identification and quantitative analysis of bicomponent fibers, fiber-based flexible devices, and blended textiles.
更多
查看译文
关键词
artificial intelligence (AI),bicomponent fibers,cross-sectional in-situ observation,image processing,melting and dissolving,quantitative analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要