The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
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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Citations
Cites
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Self-citation
Research works printed but not linked: 4
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Viguier, J., Bourreau, D., Bocquet, J.-F., Pot, G., Bléron, L., & Lanvin, J.-D. (2017) · European Journal of Wood and Wood Products · doi:10.1007/s00107-016-1149-4 · Cited by 47
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
Ehrhart, T., Steiger, R., & Frangi, A. (2017) · European Journal of Wood and Wood Products · doi:10.1007/s00107-017-1279-3 · Cited by 26
Schlotzhauer, P., Wilhelms, F., Lux, C., & Bollmus, S. (2018) · European Journal of Wood and Wood Products · doi:10.1007/s00107-018-1286-z · Cited by 22
Ehrhart, T., Palma, P., Schubert, M., Steiger, R., & Frangi, A. (2021) · Wood Science and Technology · doi:10.1007/s00226-021-01347-w · Cited by 22
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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