Wood shrinkage prediction using NIR spectroscopy

Title
Wood shrinkage prediction using NIR spectroscopy
Author
백승현
Keywords
shrinkage; extractives; density; Swetenia macrophylla; NIR
Issue Date
2008-04
Publisher
SOC WOOD SCI TECHNOL
Citation
WOOD AND FIBER SCIENCE, v. 40, No. 2, Page. 301-307
Abstract
The ability to predict wood shrinkage could help manufacturers avoid lumber with abnormal dimensional stability or match pieces with similar properties in glued assemblies. Near infrared (NIR) spectroscopy is a rapid, nondestructive technique that has been used to predict various wood properties, including extractive content and density. Fifty-seven mahogany (Swietenia macrophylla) blocks were scanned using an NIR spectrometer, and were measured for specific gravity, extractives content, and total volumetric swelling. Models were created to predict the wood properties using the NIR data. These models could provide reasonable predictions of shrinkage, density, and extractives content. The use of nonlinear kernel and wavelet statistical techniques improved model performance. It may be possible to use NIR spectroscopy for the on-line sorting of wood according to dimensional stability.
URI
https://wfs.swst.org/index.php/wfs/article/view/833http://repository.hanyang.ac.kr/handle/20.500.11754/104446
ISSN
0735-6161
Appears in Collections:
COLLEGE OF BUSINESS AND ECONOMICS[E](경상대학) > BUSINESS ADMINISTRATION(경영학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE