Skip to Main Content
Predicting internal yellow-poplar log defect features using surface indicatorsAuthor(s): R. Edward Thomas
Source: Wood and Fiber Science. 40(1): 14-22.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
PDF: View PDF (774.65 KB)
DescriptionDetermining the defects that are located within the log is crucial to understanding the tree/log resource for efficient processing. However, existing means of doing this non-destructively requires the use of expensive X-ray/CT, MRI, or microwave technology. These methods do not lend themselves to fast, efficient, and cost-effective analysis of logs and tree stems in the mill. This study quantified the relationship between external defect indicators and internal defect characteristics for yellow-poplar logs. A series of models were developed to predict internal features using visible external features, log diameter, indicator width, length, and rise. Good correlations and small prediction errors were observed with sound (sawn), overgrown, and unsound hot defects. For less severe defects such as adventitious buds/clusters and distortion type defects weaker correlations were observed, but the magnitude of prediction errors was small and acceptable.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationThomas, R. Edward. 2008. Predicting internal yellow-poplar log defect features using surface indicators. Wood and Fiber Science. 40(1): 14-22.
Keywordsyellow-poplar, hardwood log, defect modeling, internal defect prediction, external indicator
- Predicting internal red oak (Quercus rubra) log defect features using surface defect defect measurements
- Photographic guide of selected external defect indicators and associated internal defects in yellow-poplar
- Equations for predicting internal log defect measurements of common Appalachian hardwoods
XML: View XML