DOAJ Open Access 2024

Classification of black plastic types by hyperspectral imaging based on long-wave infrared emission spectroscopy

Mads Nibe Larsen Anders Løchte Jørgensen Victor Petrunin Jakob Kjelstrup-Hansen Bjarke Jørgensen +1 lainnya

Abstrak

Identification of black plastics poses a significant challenge in recycling due to the absorptive nature of carbon black additives. This work introduces a method where hyperspectral imaging in the long-wave infrared regime is used to distinguish between twelve samples of commercially available black plastics encompassing nine distinct polymer types. The spectral scanner comprises a scanning Fabry-Pérot interferometer and a thermal camera based on an uncooled microbolometer detector sensitive to wavelengths from 8 μm to 15 μm. A principal component model is combined with k-nearest neighbors to differentiate between plastic samples in hyperspectral images. The model successfully classifies five (PET, POM, PMMA, PA6, and PA66) out of nine black polymers, and the overall accuracy of the model is A=73.1 %.

Topik & Kata Kunci

Polymers and polymer manufacture

Penulis (6)

Mads Nibe Larsen

Anders Løchte Jørgensen

Victor Petrunin

Jakob Kjelstrup-Hansen

Bjarke Jørgensen

Mogens Hinge

Format Sitasi

APA MLA BibTeX

Larsen, M.N., Jørgensen, A.L., Petrunin, V., Kjelstrup-Hansen, J., Jørgensen, B., Hinge, M. (2024). Classification of black plastic types by hyperspectral imaging based on long-wave infrared emission spectroscopy. https://doi.org/10.1016/j.polymertesting.2024.108629

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1016/j.polymertesting.2024.108629
Akses: Open Access ✓