THz imaging for recycling of black plastics
THz imaging for recycling of black plastics
复制标题
DOI：
10.1515/teme-2017-0062
复制
发表时间：
2018-03-01
影响因子：
1
通讯作者：
Pohl, Nils
中科院分区：
文献类型：
--
作者：
Kueter, Andries;Reible, Stefan;Pohl, Nils
本文介绍了一种新的线相机设备的发展，在较低的太赫兹域，它能够测量微小的差异，在宽带光谱指纹的非导电材料。主要重点是在工业回收背景下对黑色塑料进行分类，其中大规模分类不同类型的黑色塑料仍然是一个挑战。该系统工作在84 GHz和96 GHz之间。由于相关塑料在该频率范围内没有特定的吸收线，因此需要采用宽带方法来累积介电特性的微小差异。使用这种技术，可以收集足够的熵，可以训练机器学习算法来区分不同的材料。即使在存在阻燃剂、颜料和污垢等污染物的情况下也必须如此。初步结果表明，THz传感器系统能够实现这些目标。
This paper presents the development of a novel line-camera device in the lower THz-domain which is capable of measuring minute differences in broadband spectral fingerprints of non-conducting materials. The primary focus is sorting black plastics in industrial recycling contexts, where large scale sorting of different types of black plastics remains a challenge. The system operates between 84GHz and 96GHz. As the relevant plastics exhibit no specific absorption lines in this frequency range, a broadband approach is necessary to accumulate slight differences in dielectric properties. Using this technique, enough entropy can be gathered that a machine learning algorithm can be trained to differentiate between different materials. This has to work even in the presence of contaminants such as flame retardants, color pigments and dirt. Preliminary results suggest that the THz sensor system is capable of achieving these goals.