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o How Well Do Arsenic-Free Preservatives Inhibit Copper-Tolerant Fungi?
o Caulking with Care
o Combustion Properties of an Exotic Annual Grass
o Creosote Movement from Treated Wood Immersed in Fresh Water
o Durable Wood, Naturally--Termite Resistance
o Essential Oils Inhibit Mold Spore Germination
o

Fire Resistance of Strucutral Composite Lumber Products

o Bioprocessing for Ethanol Production and a Valuable Adhesive Coproduct
o Fuel Treatment Evaluator
o Fuel Treatment Market
o Genome Sequencing
o Wood Research from World War I to Iraq
o Reusing Remediated Wood in Value-Added Products
o Inspecting Historic Structures: Using the Web to Train Inspection Professionals
o Productive Use of Thinnings in Dimension Lumber and Paper
o Treatability of Underutilized Wood Species
o Enhancing Wood-Plastic Composites by Crosslinking Polymers
o Accessible and Affordable Playground and Path Surfacing Now Commerically Available
o Dimensional Warping of Wood-Based Composites
 

 

2007 Research Highlights

Prediction of Fiberboard Properties using Fourier Transform Near-InfraRed Spectroscopy

Key Contact: John F. Hunt jfhunt@fs.fed.us

Prediction of mechanical properties for wood composites using rapid non-destructive methods is always useful for quality control and assessing properties. We now understand the potential use of Fourier Transform Near- Infrared (FTNIR) spectroscopy for wood composites. It has been used extensively in the wood industry as a means to online scan moisture content of wood in a process. It can also be used as a means to predict performance properties. Forest Products Laboratory research has shown it can accurately correlate basic mechanical properties and some physical properties using a non-contact surface scan. The data obtained is not yet fully quantitative but is more qualitative. The FTNIR analysis correlates known processes and parameters to a known spectral scan of the material. The analysis uses software to calculate a correlation of the spectra to a known measurable parameter. The software then predicts a response from new spectra. Part of the research is to understand what the scan is reading and how that relates to the wood fiber matrix. The information could have implications for online control of process variables. Its may be possible that a non-contact scan could allow users to adjust processes on-the-fly so composites have the required performance characteristics.

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