Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Evelize Aparecida Amaral"'
Autor:
Lívia Freire Baliza, Carlos Henrique da Silva, Evelize Aparecida Amaral, Fernanda Maria Guedes Ramalho, Paulo Fernando Trugilho, Honggang Sun, Paulo Ricardo Gherardi Hein
Publikováno v:
Holzforschung. 77:95-105
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 t
Autor:
Natalino Calegario, Paulo Ricardo Gherardi Hein, Luana Maria dos Santos, Paulo Fernando Trugilho, Evelize Aparecida Amaral, Emylle Veloso Santos Costa, Erick Martins Nieri
Publikováno v:
Wood Material Science & Engineering. 16:336-343
Moisture is one of the most important wood properties because its variation directly influences the material strength and density. Thus, the aim of this study was to develop near infrared (NIR) spe...
Autor:
Evelize Aparecida Amaral, Luana Maria dos Santos, Paulo Fernando Trugilho, Paulo Ricardo Gherardi Hein, Emylle Veloso Santos Costa, Sebastião Carlos da Silva Rosado
Publikováno v:
New Zealand Journal of Forestry Science. 51
Background: Near infrared (NIR) spectroscopy has been successfully applied to estimate the chemical, physical and mechanical properties of various biological materials, including wood. This study aimed to evaluate basic density calibrations based on
Autor:
Emylle Veloso Santos Costa, Paulo Ricardo Gherardi Hein, Evelize Aparecida Amaral, Luana Maria dos Santos, Paulo Fernando Trugilho
Publikováno v:
Maderas: Ciencia y Tecnología, Vol 22, Iss 3, Pp 291-302 (2020)
Maderas. Ciencia y tecnología, Issue: ahead, Published: 04 APR 2020
Maderas. Ciencia y tecnología v.22 n.3 2020
SciELO Chile
CONICYT Chile
instacron:CONICYT
Maderas. Ciencia y tecnología, Issue: ahead, Published: 04 APR 2020
Maderas. Ciencia y tecnología v.22 n.3 2020
SciELO Chile
CONICYT Chile
instacron:CONICYT
In order to assess the moisture content of wood chips on an industrial scale, readily applicable techniques are required. Thus, near infrared (NIR) spectroscopy was used to estimate moisture in wood chips by means of partial least squares regressions
Autor:
Paulo Ricardo Gherardi Hein, Maria Fernanda Vieira Rocha, Livia Elisabeth Vasconcellos de Siqueira Brandão, Emylle Veloso Santos Costa, Evelize Aparecida Amaral, Luana Maria dos Santos, Paulo Fernando Trugilho
Publikováno v:
Journal of Near Infrared Spectroscopy. 26:106-116
Wood density is an important criterion for material classification, as it is directly related to quality of wood for structural use. Several studies have shown promising results for the estimation of wood density by near infrared spectroscopy. Howeve