A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation
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 standar...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
|
| Series: | Polymers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4360/15/4/842 |
| _version_ | 1797618547714686976 |
|---|---|
| author | Jieyao Qin Mingxi Lu Bin Li Xiaorui Li Guangming You Linjian Tan Yikui Zhai Meilin Huang Yingzhu Wu |
| author_facet | Jieyao Qin Mingxi Lu Bin Li Xiaorui Li Guangming You Linjian Tan Yikui Zhai Meilin Huang Yingzhu Wu |
| author_sort | Jieyao Qin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T08:15:18Z |
| format | Article |
| id | doaj.art-e074a8c693504f8ca8e832fb2e124d1b |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-03-11T08:15:18Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-e074a8c693504f8ca8e832fb2e124d1b2023-11-16T22:50:42ZengMDPI AGPolymers2073-43602023-02-0115484210.3390/polym15040842A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ ObservationJieyao Qin0Mingxi Lu1Bin Li2Xiaorui Li3Guangming You4Linjian Tan5Yikui Zhai6Meilin Huang7Yingzhu Wu8School of Textile Materials and Engineering, Wuyi University, Jiangmen 529020, ChinaSchool of Textile Materials and Engineering, Wuyi University, Jiangmen 529020, ChinaCollege of Innovation and Entrepreneurship, Wuyi University, Jiangmen 529020, ChinaSchool of Textile Materials and Engineering, Wuyi University, Jiangmen 529020, ChinaSchool of Textile Materials and Engineering, Wuyi University, Jiangmen 529020, ChinaSchool of Textile Materials and Engineering, Wuyi University, Jiangmen 529020, ChinaCollege of Intelligent Manufacturing, Wuyi University, Jiangmen 529020, ChinaSchool of Textile Materials and Engineering, Wuyi University, Jiangmen 529020, ChinaSchool of Textile Materials and Engineering, Wuyi University, Jiangmen 529020, ChinaTo 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.https://www.mdpi.com/2073-4360/15/4/842bicomponent fibersquantitative analysismelting and dissolvingcross-sectional in-situ observationimage processingartificial intelligence (AI) |
| spellingShingle | Jieyao Qin Mingxi Lu Bin Li Xiaorui Li Guangming You Linjian Tan Yikui Zhai Meilin Huang Yingzhu Wu A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation Polymers bicomponent fibers quantitative analysis melting and dissolving cross-sectional in-situ observation image processing artificial intelligence (AI) |
| title | A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
| title_full | A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
| title_fullStr | A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
| title_full_unstemmed | A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
| title_short | A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
| title_sort | rapid quantitative analysis of bicomponent fibers based on cross sectional in situ observation |
| topic | bicomponent fibers quantitative analysis melting and dissolving cross-sectional in-situ observation image processing artificial intelligence (AI) |
| url | https://www.mdpi.com/2073-4360/15/4/842 |
| work_keys_str_mv | AT jieyaoqin arapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT mingxilu arapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT binli arapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT xiaoruili arapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT guangmingyou arapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT linjiantan arapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT yikuizhai arapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT meilinhuang arapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT yingzhuwu arapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT jieyaoqin rapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT mingxilu rapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT binli rapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT xiaoruili rapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT guangmingyou rapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT linjiantan rapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT yikuizhai rapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT meilinhuang rapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation AT yingzhuwu rapidquantitativeanalysisofbicomponentfibersbasedoncrosssectionalinsituobservation |