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Title: 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:
 [1];  [2]
  1. Boulder, CO
  2. 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)
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 = {2003},
month = {1}
}

Patent:

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Works referenced in this record:

Evaluation of density and strength of Norway spruce wood by near infrared reflectance spectroscopy
journal, January 1995

  • Hoffmeyer, P.; Pedersen, J. G.
  • Holz als Roh- und Werkstoff, Vol. 53, Issue 1
  • DOI: 10.1007/BF02716418

Chemometrics
journal, June 1990