Pre-sawing detection of heart cracks in Norway spruce ( Picea abies (L.) H. Karst.) and silver fir ( Abies alba Mill.): variability and industrial implications
Source abstract
Abstract
Optimising raw material use in the sawing process requires understanding variations in quality indicators. Cracks are defects that significantly reduce product value and can lead to the downgrading of the product. This study aimed to characterise heart crack variability in softwood stems before sawing and improve wood inspection. 1026 Norway spruce (Picea abies (L.) H. Karst.) and silver fir (Abies alba Mill.) stems were scanned using an industrial CT Log X-ray scanner. Among these, 250 stems exhibited heart cracks longer than 50 cm: 37% in silver fir and 18% in Norway spruce. Radial and longitudinal variability of crack metrics were analysed. Results confirm that internal cracks are present in approximately 25% of stems before sawing, with heart cracks length averaging 32% of total stem length. A significant positive linear relationship (R2 ≈ 0.28) was identified between heart crack length, stem diameter and taper. This suggests that factors associated with larger stem dimensions may contribute to increased crack length. These findings are crucial for the wood industry, enabling better crack management, minimising defects in end products and optimising yield and value. Further research on the relationship between silvicultural treatments and the formation of internal cracks is recommended.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Forest ecology and management · Forest Ecology and Biodiversity Studies · Remote Sensing and LiDAR Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Groupe SIAT, R&D, 67280
INRAE UR1138 BEF, 54280
Université de Lorraine, INRAE, LERMAB, F-88000
MiCROTEC
Funding
ANRT · Groupe SIAT
References (41)
Show source-provided references
1. 10.1016/j.compag.2014.03.00710.1016/j.compag.2014.03.007 ↗
2. 10.1016/j.patrec.2005.04.00410.1016/j.patrec.2005.04.004 ↗
3. 10.1007/s10044-006-0035-910.1007/s10044-006-0035-9 ↗
4. 10.1080/14942119.2005.1070251310.1080/14942119.2005.10702513 ↗
5. 10.1080/17480272.2014.97794410.1080/17480272.2014.977944 ↗
6. Brundin J. and Gert E. 2022. Guide to assessing CLT surface quality (P. Godonou Ed.). Swedish Forest Industries Federation Swedish Wood P.O Box 55525 SE-102 04 STOCKHOLM Sweden.
7. EN 1927-1:2008 2008. Classement qualitatif des bois ronds résineux—Partie 1: Epicéas et sapins. https://www.boutique.afnor.org/fr-fr/norme/nf-en-19271/classement-qualitatif-des-bois-ronds-resineux-partie-1-epiceas-et-sapins/fa143589/31249#AreasStoreProductsSummaryView
8. 10.1080/17480272.2014.90443010.1080/17480272.2014.904430 ↗
9. 10.15376/biores.13.2.3674-368510.15376/biores.13.2.3674-3685 ↗
10. 10.2478/forj-2019-000310.2478/forj-2019-0003 ↗
11. 10.1007/s10086-017-1639-y10.1007/s10086-017-1639-y ↗
12. 10.1080/02827581.2016.124277010.1080/02827581.2016.1242770 ↗
13. Jullien D. et al. 2000. August 27–September 2. Observation of log-end cracks caused by growth stress in Eucalyptus. In: H.C. Spatz and T. Speck eds. Plant Biomechanics 2000: Proceedings of the 3rd Plant Biomechanics Conference Freiburg-Badenweiler. G. Thieme 483–486.
14. 10.1051/jp4:20030196.hal-0200117510.1051/jp4:20030196.hal-02001175 ↗
15. 10.1016/j.aiia.2022.12.00110.1016/j.aiia.2022.12.001 ↗
16. 10.1080/17480272.2024.243246110.1080/17480272.2024.2432461 ↗
17. 10.1016/j.compag.2004.03.00510.1016/j.compag.2004.03.005 ↗
18. 10.1016/j.compag.2007.03.01010.1016/j.compag.2007.03.010 ↗
19. 10.1007/s10921-005-6658-810.1007/s10921-005-6658-8 ↗
20. 10.13073/0015-7473-60.4.33110.13073/0015-7473-60.4.331 ↗
21. Maness, T.C., and Adams, D.M., 1991. The combined optimization of log bucking and sawing strategies. Wood and Fiber Science, 23, 296–314. https://wfs.swst.org/index.php/wfs/article/view/189.
22. Muhammad Umar, 2024. Digitalization of sawmills in Estonia: challenges and future perspectives. School of Business and Governance, Tallin University of Technology. https://digikogu.taltech.ee/et/item/82bb0aea-9afc-48fc-821f-101be1fbc644.
23. 10.1016/j.compag.2019.04.00210.1016/j.compag.2019.04.002 ↗
24. Nasir, V., Rahimi, S., Mohammadpanah, A., Hansen, E., Sassani, F. (2024). Intelligent lumber production (sawmill 4.0): opportunities, challenges, and pathways to adoption. In: M.R. Alam and M. Fathi, eds. Integrated systems: data driven engineering. Cham: Springer, 213–231.10.1007/978-3-031-53652-6_13 ↗
25. 10.1007/s13196-024-00353-210.1007/s13196-024-00353-2 ↗
26. 10.1080/17480272.2021.195529810.1080/17480272.2021.1955298 ↗
27. 10.2478/forj-2020-002110.2478/forj-2020-0021 ↗
28. 10.1007/s00107-016-1115-110.1007/s00107-016-1115-1 ↗
29. 10.1007/s00107-020-01591-010.1007/s00107-020-01591-0 ↗
30. 10.26555/ijain.v6i1.39210.26555/ijain.v6i1.392 ↗
31. 10.1007/s13595-017-0630-510.1007/s13595-017-0630-5 ↗
32. R Core Team, 2021. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. https://www.R-project.org.
33. Richter, C. (2016). Biotically and abiotically induced wood characteristics; cracks forms and causes. In L. Pancel and M. Köhl, eds. Tropical forestry handbook. Berlin Springer Berlin Heidelberg, 2839–2874.10.1007/978-3-642-54601-3_217 ↗
34. 10.1007/s00107-021-01715-010.1007/s00107-021-01715-0 ↗
35. 10.1080/0282758005016057410.1080/02827580050160574 ↗
36. 10.1007/s00107005048510.1007/s001070050485 ↗
37. 10.1038/nmeth.208910.1038/nmeth.2089 ↗
38. Ursella E. Giudiceandrea F. and Boschetti M. 2018. A Fast and Continuous CT scanner for the optimization of logs in a sawmill. Vol. 23(2). https://www.ndt.net/?id=21911.
39. 10.13073/FPJ-D-12-00079.110.13073/FPJ-D-12-00079.1 ↗
40. 10.3188/szf.2012.015510.3188/szf.2012.0155 ↗
41. Wehrhausen, M., Brüchert, F., and Sauter, U., 2012a. Measurement and relevance for timber grading of cracks in softwood logs and sawn timber. Schweizerische Zeitschrift fur Forstwesen, 163, 165–174.