DC pole | Wartość | Język |
dc.contributor.author | Piszczek, Łukasz | - |
dc.contributor.author | Daszykowski, Michał | - |
dc.date.accessioned | 2021-10-07T10:59:50Z | - |
dc.date.available | 2021-10-07T10:59:50Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | "Measurement" (2021), Vol. 186, art. no. 110201, s. 1-10 | pl_PL |
dc.identifier.issn | 0263-2241 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/21741 | - |
dc.description.abstract | This study examines the potential of near-infrared hyperspectral imaging for assessing the size of polymer
particles in model fractions based on the scattering phenomena. Different fractions of ground polymers, either
polymethyl methacrylate or polypropylene, were characterized by near-infrared spectra collected between 900
and 1700 nm. The possibility to estimate the size of polymer particles using hyperspectral images was confronted
with a basic single spot near-infrared measurement. Hyperspectral imaging, in addition to the standard spectral
data dimension, provides information about the spatial distribution of sample components and reveals changes in
physical properties. Therefore, one can gain a better insight into the scattering phenomena and study the physical
inhomogeneity of a sample in terms of particle size distribution. The partial least-squares models constructed to
estimate particle size of polymers that were characterized by hyperspectral images (a pixel-based approach)
outperforms models built for mean spectra regardless of the considered powdered polymer. | pl_PL |
dc.language.iso | en | pl_PL |
dc.rights | Uznanie autorstwa 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/pl/ | * |
dc.subject | Particle size distribution | pl_PL |
dc.subject | Hyperspectral imaging | pl_PL |
dc.subject | Polymer detection | pl_PL |
dc.subject | Polymer processing | pl_PL |
dc.subject | Chemometrics | pl_PL |
dc.title | Near-infrared hyperspectral imaging for polymer particle size estimation | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
dc.identifier.doi | 10.1016/j.measurement.2021.110201 | - |
Pojawia się w kolekcji: | Artykuły (WNŚiT)
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