Resources & Recycling, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, The Netherlands.
Waste Manag. 2013 Mar;33(3):574-84. doi: 10.1016/j.wasman.2012.11.018. Epub 2012 Dec 27.
Packaging waste is one of the main sources of secondary polyolefins. It is essential to characterize polyolefins derived from this waste stream in such way, that not only mechanical sorting methods can effectively separate, but also that on-line sensor systems can quantitatively assess their distribution. The characterization methodology is hierarchical, relating all properties of waste particles in any phase of the processing ultimately to the input End-Of-Life products. The present paper documents a pre-concentrate obtained by hand picking of mixed Romanian household waste. Investigations have been addressed to identify the composition of this polyolefin waste stream, to study the polyolefin density distribution, to distinguish the polymer manufacturing methods (i.e. injection molding and blow molding) by flake physical properties and finally to perform all the required characterization and identification by hyperspectral imaging. On the basis of these analyses, polyolefins from packaging wastes can be recycled by density separation and their rheological properties and wall thickness indicate the molding procedures. Hyperspectral imaging based procedures have been also applied to set up quality control actions for recycled products.
包装废物是二次聚烯烃的主要来源之一。对来源于这种废物流的聚烯烃进行特征描述非常重要，这样不仅可以有效地进行机械分拣，而且在线传感器系统还可以对其分布进行定量评估。该特征描述方法是分层次的，将加工过程中任何阶段的废物颗粒的所有特性都与最终的输入生命周期产品相关联。本文记录了通过手工挑选混合罗马尼亚生活垃圾获得的预浓缩物。研究的目的是确定这种聚烯烃废物流的组成，研究聚烯烃的密度分布，通过薄片物理特性区分聚合物制造方法（即注塑和吹塑），最后通过高光谱成像进行所有必需的特征描述和识别。在此基础上，可通过密度分离对包装废物中的聚烯烃进行回收，其流变性能和壁厚表明成型工艺。高光谱成像技术也已应用于回收产品的质量控制措施中。
