Use of a region of the visible and near infrared spectrum to predict mechanical properties of wet wood and standing trees
Abstract
In a method for determining the dry mechanical strength for a green wood, the improvement comprising: (a) illuminating a surface of the wood to be determined with a reduced range of wavelengths in the VIS-NIR spectra 400 to 1150 nm, said wood having a green moisture content; (b) analyzing the surface of the wood using a spectrometric method, the method generating a first spectral data of a reduced range of wavelengths in VIS-NIR spectra; and (c) using a multivariate analysis technique to predict the mechanical strength of green wood when dry by comparing the first spectral data with a calibration model, the calibration model comprising a second spectrometric method of spectral data of a reduced range of wavelengths in VIS-NIR spectra obtained from a reference wood having a green moisture content, the second spectral being correlated with a known mechanical strength analytical result obtained from the reference wood when dried and a having a dry moisture content.
- Inventors:
-
- Boulder, CO
- Evergreen, CO
- Issue Date:
- Research Org.:
- Midwest Research Institute, Kansas City, MO (United States)
- OSTI Identifier:
- 875077
- Patent Number(s):
- 6525319
- Assignee:
- Midwest Research Institute (Kansas City, MO)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- DOE Contract Number:
- AC36-99GO10337
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- region; visible; near; infrared; spectrum; predict; mechanical; properties; wet; wood; standing; trees; method; determining; dry; strength; green; improvement; comprising; illuminating; surface; determined; reduced; range; wavelengths; vis-nir; spectra; 400; 1150; nm; moisture; content; analyzing; spectrometric; generating; spectral; data; multivariate; analysis; technique; comparing; calibration; model; obtained; reference; correlated; analytical; result; dried; mechanical properties; moisture content; /250/
Citation Formats
Meglen, Robert R, and Kelley, Stephen S. Use of a region of the visible and near infrared spectrum to predict mechanical properties of wet wood and standing trees. United States: N. p., 2003.
Web.
Meglen, Robert R, & Kelley, Stephen S. Use of a region of the visible and near infrared spectrum to predict mechanical properties of wet wood and standing trees. United States.
Meglen, Robert R, and Kelley, Stephen S. Wed .
"Use of a region of the visible and near infrared spectrum to predict mechanical properties of wet wood and standing trees". United States. https://www.osti.gov/servlets/purl/875077.
@article{osti_875077,
title = {Use of a region of the visible and near infrared spectrum to predict mechanical properties of wet wood and standing trees},
author = {Meglen, Robert R and Kelley, Stephen S},
abstractNote = {In a method for determining the dry mechanical strength for a green wood, the improvement comprising: (a) illuminating a surface of the wood to be determined with a reduced range of wavelengths in the VIS-NIR spectra 400 to 1150 nm, said wood having a green moisture content; (b) analyzing the surface of the wood using a spectrometric method, the method generating a first spectral data of a reduced range of wavelengths in VIS-NIR spectra; and (c) using a multivariate analysis technique to predict the mechanical strength of green wood when dry by comparing the first spectral data with a calibration model, the calibration model comprising a second spectrometric method of spectral data of a reduced range of wavelengths in VIS-NIR spectra obtained from a reference wood having a green moisture content, the second spectral being correlated with a known mechanical strength analytical result obtained from the reference wood when dried and a having a dry moisture content.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 00:00:00 EST 2003},
month = {Wed Jan 01 00:00:00 EST 2003}
}
Works referenced in this record: