Work

ABS-rich model waste characterisation for different sampling strategies – DSC data

Year: 2023

Type: dataset

Abstract: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. This dataset contains raw DSC data of the model waste from the different sampling approaches. The content is: ·One Excel file containing DSC data of the model waste, wherein the approach was based on extrusion and measurement protocol ·One Excel file containing DSC data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol ·One Word file containing further information about the methodology and nomenclature This dataset was generated in the framework of PRecycling Horizon European project (101058670)

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.8387360

Authors: MARTÍNEZ GARCÍA, ASUNCIÓN, IBÁÑEZ GARCÍA, ANA, LEÓN CABEZAS, MIGUEL ÁNGEL

Institution: Aiju

Language: English

Topic: Polymer crystallization and properties

Subfield: Polymers and Plastics

Field: Materials Science

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: green

Funder: HORIZON EUROPE Framework Programme