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Predicting the strength of sawn wood by tracheid laser scattering
Open accessAbstract
An industrial laser light scattering scanner, designed to detect the spiral grain angle of logs by the light scattering along the grain, was used on two large samples of Norway spruce (Picea abies (var. Karst)) in various sawn dimensions (approximately 750 pieces). Additional measurements were made by other techniques, such as X-ray scanning, resonance frequency measurement, and various manual measurements. The strength properties of the boards were measured by destructive testing in four-point bending according to European standard. Multivariate methods (PLS) were used to model the relationship between the bending strength of the board (MOR) and the measurements. Based only on the output from the simple tracheid scattering equipment, a model for MOR achieved an R² exceeding 0.3. Combinations with average density or outer shape parameters from log scanning resulted in R² 0.4 and 0.3 respectively, although these parameters alone only accounted for R² 0.2. The results can be used to increase the understanding of strength in wood and in an improved industrial strength-grading process.
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“Several studies have already shown that mean grain angle is correlated to boards' mechanical properties (Pope et al., 2005;Brännström et al., 2008).”
From Improving strength grading of timber by grain angle measurement and mechanical modeling (2015) · cites this paper as Brännström et al., 2008
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Cites
Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models
Wold, S. (1978) · Technometrics · doi:10.1080/00401706.1978.10489693 · Cited by 2,506
Timber, its nature and behaviour
Dinwoodie, J. M. (1981) · Thammasat University Digital Collections · Cited by 467
Genetic parameters of growth and wood quality traits in Picea abies
Hannrup, B., Cahalan, C., Chantre, G., Grabner, M., Karlsson, B., Bayon, I. L., Jones, G. L., Müller, U., Pereira, H., Rodrígues, J. C., et al. (2004) · Scandinavian Journal of Forest Research · doi:10.1080/02827580310019536 · Cited by 177
Automatic measurement of fiber orientation in softwoods by using the tracheid effect
Nyström, J. (2003) · Computers and Electronics in Agriculture · doi:10.1016/s0168-1699(03)00045-0 · Cited by 86
Determination of wood grain direction from laser light scattering pattern
Simonaho, S.-P., Palviainen, J., Tolonen, Y., & Silvennoinen, R. V. J. (2002) · Optics and Lasers in Engineering · doi:10.1016/s0143-8166(02)00144-6 · Cited by 77
関, 由. (2004) · 日経BPソフトプレス , 日経BP出版センター (発売) eBooks · Cited by 60
Säll, H. (2002) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 46
Tensile strength of softwood in LR orthotropy plane
Galicki, J., & Czech, M. (2004) · Mechanics of Materials · doi:10.1016/j.mechmat.2004.07.001 · Cited by 44
Elastic Wood Properties from Dynamic Tests and Computer Modeling
Ohlsson, S., & Perstorper, M. (1992) · Journal of Structural Engineering · doi:10.1061/(asce)0733-9445(1992)118:10(2677 · Cited by 33
Research works printed but not linked: 4
- Lindgren, F. 1994. Third Generation PLS: Some Elements and Application. PhD thesis, Umeå University (Department of organic chemistry, Research group for chemometrics), Sweden.
- Seltman, J. (1992). "Indication of slope-of-grain and biodegradation in wood with electromagnetic waves," In: Lindgren, O. (Ed.), 1st International Seminar on Scanning Technology and Image processing on Wood. Luleå University of Technology, Skellefteå, Sweden.
- Brännström et. al. (2008). "Predicting sawn wood strength," BioResources 3(2), 437-451. 451
- Soest, J., Matthews, P., and Wilson, B. (1993). "A simple optical scanner for grain defects," In: Proceedings from the 5th International Conference on Scanning Technology & Process Control for the Wood Products Industry. Atlanta, GA.
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Improving strength grading of timber by grain angle measurement and mechanical modeling
Viguier, J., Jehl, A., Collet, R., Bleron, L., & Meriaudeau, F. (2015) · Wood Material Science & Engineering · doi:10.1080/17480272.2014.951071 · Cited by 38
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Predicting strength of Finnish birch veneers based on three different failure criteria
Pramreiter, M., Bodner, S. C., Kečkéš, J., Stadlmann, A., Feist, F., Baumann, G., Maawad, E., & Müller, U. (2021) · Holzforschung · doi:10.1515/hf-2020-0209 · Cited by 13
Property relationships between spruce logs and structural timber
Denzler, J. K., Weidenhiller, A., & Golser, M. (2015) · Scandinavian Journal of Forest Research · doi:10.1080/02827581.2015.1046479 · Cited by 7
Differences in intra-tree variation in spiral grain angle for radiata pine
Watt, M. S., Kimberley, M. O., Harrington, J. J., Riddell, M. J., Cown, D. J., & Moore, J. R. (2013) · New Zealand journal of forestry science · doi:10.1186/1179-5395-43-12 · Cited by 7
Mirski, R., Wieruszewski, M., Trociński, A., Kawalerczyk, J., & Łabęda, K. (2021) · BioResources · doi:10.15376/biores.16.1.1842-1853 · Cited by 7
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Brännström, M. (2009) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 5
Self-citationTan, C. O., Ng, S., Yap, H. J., Mustapa, M. Z., Usop, Z., Fauthan, M. ‘., Mahalil, K., & Liew, S. J. (2023) · European Journal of Wood and Wood Products · doi:10.1007/s00107-023-01980-1 · Cited by 4
Girardon, S., & Bocquet, J.-F. (2016) · European Journal of Wood and Wood Products · doi:10.1007/s00107-016-1135-x · Cited by 3
Determination of local mechanical properties of clear wood in relation to the local fiber deviation
Demoulin, L., Pot, G., Denaud, L. E., Girardon, S., & Marcon, B. (2024) · Wood Science and Technology · doi:10.1007/s00226-024-01607-5 · Cited by 2
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Metadata
- Authors
- Brännström, M., Manninen, J., & Oja, J.
- Affiliations
- Luleå University of Technology (SE)
- Stora Enso (Finland) (FI)
- Corresponding author
- Brännström, Mattias
- Venue
- BioResources
- Publisher
- BioResources
- Published
- 2008-03-26
- Volume
- 3
- Issue
- 2
- Pages
- 437-451
- ISSN
- 1930-2126 (ISSN-L)
- OpenAlex
- W1542338355
- Cited by
- 17
- References
- 19
- Citations by year
- 2024: 1 · 2023: 1 · 2021: 3 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 2 · 2014: 1 · 2013: 1
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BioResources (publishedVersion, cc-by)
- Epubl LTU (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Building and Construction › Wood Treatment and Properties
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Keywords
- flexural strength, Norway spruce, four-point bending, strength grading, wood density, multivariate calibration
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