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Título: | Evaluation of the spatial variation in moisture content inside wood pieces during drying by NIR spectroscopy |
Palavras-chave: | Desorption monitoring Moisture gradient NIR spectroscopy Spatial variation Wood drying |
Data do documento: | 2023 |
Editor: | De Gruyter |
Citação: | BALIZA, L. F. et al. Evaluation of the spatial variation in moisture content inside wood pieces during drying by NIR spectroscopy. Holzforschung, [S.l.], v. 77, n. 2, p. 95-105, 2023. |
Resumo: | The moisture content (MC) of wood affects its industrial performance, but it is difficult to monitor spatial variations in MC. Here, a multivariate regression was developed to estimate the MC from near infrared (NIR) spectra and was used to monitor the spatial variation in the MC of wood during air- and oven-drying. The spectra and mass of wood pieces were measured at five stages during drying (at each 20% loss of initial water mass). Wood pieces were dried naturally and oven-dried at 60 °C. Initially, 25 spectra were recorded at equidistant points covering the entire longitudinal × radial surface of the sample. Then, a planing machine was used to access the inside of the wood, and NIR spectra were measured for each new surface, at a total of 100 points spatially distributed within the wood pieces. The wood pieces were analyzed in their original state, and when they had lost 20, 40, 60, and 80% of their initial water mass. An NIR-based regression (R2p = 0.90 and RMSEP = 10.51%) was applied to estimate the MC, and its spatial gradient during drying was then mapped. These analyses revealed the spatial variation in MC within wood pieces during drying. |
URI: | https://www.degruyter.com/document/doi/10.1515/hf-2022-0123/html http://repositorio.ufla.br/jspui/handle/1/58044 |
Aparece nas coleções: | DCF - Artigos publicados em periódicos |
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