Predicting internal lumber grade from log surface knots: Actual and simulated results

Forest Products Journal

Volumn 55, Issue 6, 2005, Pages 38-47

  Todoroki, Christine L ^a   Monserud, Robert A ^b   Parry, Dean L ^c  

^a SCION   (New Zealand)

^b Ecologically Sustainable Production of Forest Resources ^*  (United States)

^c USDA FOREST SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LUMBER GRADE; LUMBER QUALITY; LUMBER RECOVERY; SURFACE KNOTS;

COMPUTER SIMULATION; QUALITY CONTROL; SAWING; STANDARDS;

LUMBER;

LUMBER; QUALITY CONTROL; SAWING; SIMULATION; STANDARDS;

PSEUDOTSUGA; PSEUDOTSUGA MENZIESII; TRIXIS;

EID: 21644459224     PISSN: 00157473     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. Barbour, R.J., D.D. Marshall, D.L. Parry, and G.A. Christensen. 2002. Do large trees always have higher wood product value? Chapter 14. In: Proc. of the Wood Compatibility Initiative Workshop. A.C. Johnson, R.W. Haynes, and R.A. Monserud, eds. Gen. Tech. Rept. PNW-GTR-563. USDA Forest Serv., Pacific Northwest Res. Sta., Portland, OR. pp. 135-144.
2. _, E.G. Lowell, C.L. Todoroki, D.L. Parry, and G.A. Christensen. 1999. Simulating North American lumber grade recovery with AUTOSAW using externally visible branch and stem form characteristics. In: Proc. of the Third Workshop on the Connection Between Silviculture and Wood Quality Through Modeling. G. Nepveu, ed. IUFRO WP 5.01 04. Biological improvement of wood properties. Instruments Regent Inc., Rue Blain, France. pp. 493-504.
3. _, D.L. Parry, C.L. Todoroki, G.A. Christensen, and E.C. Lowell. 2004. Within and between log variation in lumber grade yield as demonstrated using AUTOSAW. In: Proc. of the Fourth Workshop on the Connection Between Silviculture and Wood Quality through Modelling Approaches and Simulation Softwares, G Nepveu, ed. IUFRO S5.01-04. Publication Equipe de Recherches sur la Qualite des Bois (Wood Quality Research Team), INRA (National Institute of Agricultural Research), Nancy, France. pp. 450-455.
4. Cluzeau, D., N. LeGoff, and J-M, Otlorini, 1994. Development of primary branches and crown profile for Fraxinus excelsior. Can. J. of Forest Res. 24:2315-2323.
5. Cown D.J., D.L. McConchie, and C. Treloar. 1984. Timber recovery from pruned Pinns radiata butt logs at Mangatu: Effect of log sweep. New Zealand J. of Forestry Sci. 14(1): 109-123.
6. Fahey, T.D., J.M. Cahill, T.A. Snellgrove, and L.S. Heath. 1991. Lumber and veneer recovery from intensively managed young-growth Douglas-fir. Res. Pap. PNWRP-437. USDA Forest Serv., Pacific Northwest Res. Sta., Portland, OR. 25 pp.
7. Hann, D.W. 1999. An adjustable predictor of crown profile for stand-grown Douglas-fir trees Forest Sci. 45:217-225.
8. _, A.S. Hester, and C.L. Olsen. 1997. ORGANON user's manual edition 6.0 incorporating: Southwest Oregon version and western Willamette Valley version. Dept. of Forest Resources, Oregon Stale Univ., Corvallis, OR.
9. Jacobs, M.R. 1938. Notes on pruning Pinus radiata. Part 1. Observations on features which influence pruning. Bulletin No. 23. Common-wealth Forestry Bureau, Canberra, Australia. 47 pp.
10. Kramer, P.J. and T.T. Kozlowski. 1979. Physiology of Woody Plants. Academic Press, Inc., New York. 811 pp.
11. Maguire, D.A., M. Moeur, and W.S. Bennett. 1994. Models for describing basal diameter and vertical distribution of primary branches in young Douglas-fir. Forest Ecol. and Management 63:23-55.
12. Makinen, H. and F. Colin. 1998. Predicting branch angle and branch diameter of Scots pine from usual tree measurements and stand structural information. Canadian J. of Forest Res. 28:1686-1696.
13. Oja, J., S. Grundberg, J. Fredriksson, and P. Berg. 2004. Automatic grading of saw logs: A comparison between X-ray scanning, optical three-dimensional scanning and combinations of both methods. Scandinavian J. Forest Res. 19:89-95.
14. Orbay, L. and J. Brdicko. 2001. Using external log characteristics for stem and log break-down optimization. In: Proc. ScanTech 2001. Ninth Inter. Conf. on Scanning Tech. and Process Optimization for the Wood Industry. Wood Machining Inst., Berkeley. CA.
15. Roeh, R.L. and D.A. Maguire. 1997. Crown profile models based on branch attributes in coastal Douglas-fir. Forest Ecol. and Management 26:77-100.
16. Todoroki, C.L. 1988. SEESAW: A visual sawing simulator, as developed in version 3.0. New Zealand J. of Forestry Sci. 18(1)116-123.
17. _. 1997. Developments of the sawing simulation software, AUTOSAW: Linking wood properties, sawing, and lumber end-use. In: Proc. of the Second Workshop on the Connection Between Silviculture and Wood Quality through Modeling Approaches and Simulation Softwares. IUFRO S5.01-04. G. Nepveu, ed. Publication Equipe de Recherches sur la Qualite des Bois, (Wood Quality Research Team), INRA (National Institute of Agricultural Research), Nancy, France, pp. 241-247.
18. _. 2003. Accuracy considerations when optimally sawing pruned logs: Internal defects and sawing precision. Nondestructive Testing and Eval. 19:29-41.
19. Whiteside, I.D. 1982. Predicting radiata pine gross sawlog values and timber grades from log variables. FRI Bull. No. 4. New Zealand Forest Service. Forest Res. Inst., Rotorua, New Zealand.
20. Whiteside, I.D. 1990. STANDPAK modelling system for radiata pine. In: Proc. IUFRO Conf. New Approaches to Spacing and Thinning in Plantation Forestry. R.N. James and G.L. Tarlton, eds. FRI Bull. No. 151. Ministry of Forestry, Forest Res. Inst., Rotorua, New Zealand.
21. Western Wood Products Association (WWPA). 1998. Western lumber grading rules '98. WWPA, Portland, OR. 248 pp., plus supplements.