Abstract
Given the rapid development of plastics recycling in recent years, the need for guidelines for sampling and material characterization is steadily emerging. However, there still exists a considerable scarcity of methods that enable proper material data acquisition. It was found that neither the literature nor the standards provide a comprehensive practice that considers the distinctive characteristics of plastic waste and applies it to different situations along the value chain. Two variants of the proposed plan were evaluated based on the flake size distribution and the apparent density of four different pretreated polyolefin (PO) waste materials. Combining stratified random sampling with composite sampling yields a good sampling technique for rigid PO waste. Moreover, the analysis of a composite sample adequately conveys the true material properties of a sublot or lot.
| Original language | English |
|---|---|
| Number of pages | 12 |
| Journal | Encyclopedia |
| Publication status | Published - Sept 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Fields of science
- 205 Materials Engineering
- 205011 Polymer engineering
- 205016 Materials testing
- 207106 Renewable energy
- 211908 Energy research
- 103023 Polymer physics
- 104018 Polymer chemistry
- 211909 Energy technology
- 104019 Polymer sciences
JKU Focus areas
- Sustainable Development: Responsible Technologies and Management
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