title: Upgrading of PVC rich wastes by magnetic density separation and hyperspectral imaging quality control.
abstract: 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.
authors.affiliation: Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
authors.forename: Valentina
authors.initials: V
authors.lastname: Luciani
authors.affiliation: Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Bonifazi
authors.affiliation: Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, The Netherlands.
authors.forename: Peter
authors.initials: P
authors.lastname: Rem
authors.affiliation: Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy. Electronic address: silvia.serranti@uniroma1.it.
authors.forename: Silvia
authors.initials: S
authors.lastname: Serranti
mesh_terms: D007220:Industrial Waste / Q000032:analysis*; D060328:Magnetic Phenomena; D011143:Polyvinyl Chloride / Q000737:chemistry* / Q000145:classification; D011786:Quality Control; D059027:Recycling / Q000379:methods*; D012037:Refuse Disposal / Q000379:methods*; D014866:Waste Products / Q000032:analysis* / Q000145:classification
chemical_list: D007220:Industrial Waste; D014866:Waste Products; D011143:Polyvinyl Chloride
keywords: Hyperspectral imaging; Magnetic density separation; PVC; Plastic recycling; Window frame waste