Title: Pallet cant soundness at Appalachian sawmills and marketing recommendations
Author: Araman, Philip A.; Winn, Matthew F.; Kabir, Mohammed F.; Torcheux, Xavier; Loizeaud, Guillaume
Source: Proceedings, 30th Annual Hardwood Symposium. 88-94.
Publication Series: Miscellaneous Publication
Description: Pallet cants were inspected at selected sawmills in Virginia and West Virginia. We were looking for unsound defects such as splits, wane, shake, holes, rot, decay, unsound knots, bark pockets, and mechanical defects. Red oak (Quercus rubra, L.), white oak (Quercus alba, L), yellow-poplar (Liriodendron tulipifera, L.) and bass-wood (Tilia americana, L.) cants were inspected. White oak and poplar had higher percentages of unsound defect volume compared to red oak and basswood. Regardless of the mills and species, splits accounted for the highest percentage of defect volume per cant. Ninety percent of the cants had defect volumes less than 10 percent, and two percent of the cants had unsound defect volumes higher than 30 percent. This study suggests that cants can be pre-sorted for sale to pallet producers and that some should be culled at sawmills. The resulting cant product will help pallet producers reduce processing costs and produce high quality, longer-lasting pallets.
- 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.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication. (Please specify exactly
which publication you are requesting and your mailing address.)
XML: View XML
Araman, Philip A.; Winn, Matthew F.; Kabir, Mohammed F.; Torcheux, Xavier; Loizeaud, Guillaume 2002. Pallet cant soundness at Appalachian sawmills and marketing recommendations. Proceedings, 30th Annual Hardwood Symposium. 88-94.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility