期刊
OPTICS AND LASER TECHNOLOGY
卷 170, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.optlastec.2023.110287
关键词
Camera Sensor; Polymer Detection; UV radiation; Fluorescent Property; Image Processing
Identification of polymer type is crucial in industry, but traditional methods are laborious and costly. This study introduces a clean and fast approach using optical tools to detect polymeric materials, focusing on textile fibers and yarns. Experimental observations show the potential of this method.
Identification of polymer type in unknown samples is an important issue in industry, which is accomplished using experimental methods such as spectrophotometric and microscopic methods, as well as measuring the physical and thermal characteristics of polymer. On the other hand, when it comes to industrial level and large sample sizes, aforementioned methods are laborious and costly. A common method to tackle the problem is to use chemical solvents and substances. Substantial use of chemicals, on the other hand, may lead to serious health and environmental issues. Therefore, the aim of this study is to introduce a promising clean, fast and facile approach in identification of polymeric materials that enables industry to bridge traditional process with predictive power of software tools. A special focus has been done on textile polymeric fibers and yarns. To address described issues, polymeric materials have been irradiated under ultraviolet (UV) light source. As a result, an augmented color difference appears between different polymer types, because of their different fluorescent activity. Created color difference was then, detected using a digital camera sensor, which works based on principals of image processing technique in python environment. Experimental observations showed good potential of using optical tools in polymer detection approaches.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据