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Upgrading of PVC rich wastes by magnetic density separation and hyperspectral imaging quality control

机译:通过磁密度分离和高光谱成像质量控制来改善PVC丰富的废物

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摘要

Polyvinylchloride (PVC) is one of the most produced polymers in Europe, with a share of 11 % in terms of mass (8 million tons) 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.
机译:聚氯乙烯(PVC)是欧洲产量最高的聚合物之一,按质量(800万吨)计,占聚合物总消费量的11%,但在2010年,仅占总PVC产量的5%来自再生材料,其他聚合物的回收率平均达到15%。为了找到一种从窗框废料中提取PVC的创新方法,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)。就其性质而言,MDS是一种灵活的高精度密度分离技术,适用于具有非重叠密度的聚合物和污染物的任何混合物。由于PVC具有非常独特的高密度,因此对该技术进行了测试,可以从窗框废料中获得高级PVC预浓缩物。使用HSI对通过MDS获得的产品进行质量控制,显示出PVC明显与不需要的不同颜色的橡胶颗粒区分开。结果表明,MDS和HSI技术的组合应用可以从窗框废料中分离并检查PVC的纯度。

著录项

  • 来源
    《Waste Management》 |2015年第11期|118-125|共8页
  • 作者单位

    Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy;

    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;

    Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Plastic recycling; PVC; Window frame waste; Magnetic density separation; Hyperspectral imaging;

    机译:塑料回收;PVC;窗框废料;磁密度分离;高光谱成像;

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