Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, The Netherlands.
Waste Manag. 2015 Nov;45:118-25. doi: 10.1016/j.wasman.2014.10.015. Epub 2014 Nov 6.
Polyvinylchloride (PVC) is one of the most produced polymers in Europe, with a share of 11% in terms of mass (8 milliontons) of total polymer consumption, but in 2010 only 5% of the total PVC production came from recycled materials, where other polymer recycling achieves a level of 15% on average. In order to find an innovative process to extract PVC from window frames waste, a combination of two innovative technologies was tested: magnetic density separation (MDS) and hyperspectral imaging (HSI). By its nature, MDS is a flexible high precision density separation technology that is applicable to any mixture of polymers and contaminants with non-overlapping densities. As PVC has a very distinctive high density, this technology was tested to obtain high-grade PVC pre-concentrates from window frame waste. HSI was used to perform a quality control of the products obtained by MDS showing that PVC was clearly discriminated from unwanted rubber particles of different colors. The results showed that the combined application of MDS and HSI techniques allowed to separate and to check the purity of PVC from window frame waste.
聚氯乙烯（PVC）是欧洲产量最大的聚合物之一，其质量份额为 11%（800 万吨），占总聚合物消耗量的 11%，但 2010 年仅 5%的 PVC 总产量来自回收材料，而其他聚合物回收的平均水平为 15%。为了找到一种从窗框废料中提取聚氯乙烯的创新工艺，测试了两种创新技术的组合：磁密度分离（MDS）和高光谱成像（HSI）。MDS 本质上是一种灵活的高精度密度分离技术，适用于任何具有不重叠密度的聚合物和污染物的混合物。由于聚氯乙烯具有非常独特的高密度，因此测试了该技术，以从窗框废料中获得高品位的聚氯乙烯预浓缩物。HSI 用于对 MDS 获得的产品进行质量控制，结果表明，聚氯乙烯与不同颜色的不需要的橡胶颗粒明显区分开来。结果表明，MDS 和 HSI 技术的联合应用可以分离和检查窗框废料中聚氯乙烯的纯度。
