Abstract
| Original language | English |
|---|---|
| Journal | Wood Material Science and Engineering |
| DOIs | |
| Publication status | E-pub ahead of print - 3 Oct 2019 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- Bucking optimisation
- CT scanning
- log positioning
- sawing simulation
- value recovery
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Economic value of optical and X-ray CT scanning in bucking of Scots pine. / Rummukainen, Hannu (Corresponding Author); Makkonen, Marika; Uusitalo, Jori.
In: Wood Material Science and Engineering, 03.10.2019.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Economic value of optical and X-ray CT scanning in bucking of Scots pine
AU - Rummukainen, Hannu
AU - Makkonen, Marika
AU - Uusitalo, Jori
PY - 2019/10/3
Y1 - 2019/10/3
N2 - In the Nordic countries, trees are typically bucked into logs using harvesters that measure only a two-dimensional diameter profile of the stem. Because the value of a log can vary significantly depending on its shape and internal defects, bucking decisions can in principle be improved by optical scanning of the three-dimensional stem shape, and detection of knots and other features inside the stem by X-ray computed tomography (CT). The objective of this study was to quantify how much the value recovery at a sawmill could be increased, if bucking decisions took advantage of additional measurement data and a sawing simulator to estimate log values. A simulation study on 1582 Scots pine stems was performed to compare bucking based on a two-dimensional diameter profile with bucking that maximises log value based on either optical scanning alone, or both optical and CT scanning. For log positioning, both the traditional “horns-down” position, and value-maximising rotation based on CT scanning were considered. The results show that bucking based on optical scanning alone can potentially increase the value of sawn timber by up to 5%, and CT scanning before bucking provides little additional value for a sawmill using a CT scanner to optimise log rotation.
AB - In the Nordic countries, trees are typically bucked into logs using harvesters that measure only a two-dimensional diameter profile of the stem. Because the value of a log can vary significantly depending on its shape and internal defects, bucking decisions can in principle be improved by optical scanning of the three-dimensional stem shape, and detection of knots and other features inside the stem by X-ray computed tomography (CT). The objective of this study was to quantify how much the value recovery at a sawmill could be increased, if bucking decisions took advantage of additional measurement data and a sawing simulator to estimate log values. A simulation study on 1582 Scots pine stems was performed to compare bucking based on a two-dimensional diameter profile with bucking that maximises log value based on either optical scanning alone, or both optical and CT scanning. For log positioning, both the traditional “horns-down” position, and value-maximising rotation based on CT scanning were considered. The results show that bucking based on optical scanning alone can potentially increase the value of sawn timber by up to 5%, and CT scanning before bucking provides little additional value for a sawmill using a CT scanner to optimise log rotation.
KW - Bucking optimisation
KW - CT scanning
KW - log positioning
KW - sawing simulation
KW - value recovery
UR - http://www.scopus.com/inward/record.url?scp=85074041510&partnerID=8YFLogxK
U2 - 10.1080/17480272.2019.1672787
DO - 10.1080/17480272.2019.1672787
M3 - Article
AN - SCOPUS:85074041510
JO - Wood Material Science and Engineering
JF - Wood Material Science and Engineering
SN - 1748-0272
ER -