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Published VersionCC BY V4.0, Open Access
Journal article
Predicting Wood Density Using Resistance Drilling: The Effect of Instrument and Operator
Forests, Vol.15(1), pp.1-13
2024
Abstract
The IML PD series Resi is an instrument designed to measure the drilling resistance of wood. Use of the IML PD series Resi instrument is rapidly becoming a routine method among Australian forest plantation growers for wood quality assessments. The major driver in the commercial uptake of the IML Resi is that it is fast, cheap, and sufficiently precise for commercial use, particularly when the data are processed through a user-friendly, web-based processor. This study examined whether the accuracy of wood density predictions was impacted by the use of different Resi tools and different operators, which has never been examined before. Seven Resi instruments were evaluated across six sites with two operators on plantation-grown Southern Pine (Pinus caribaea var. hondurensis (Sénéclauze) or hybrids between Pinus elliottii var. elliottii (Engelm) × P. caribaea var. hondurensis) trees. Two types of Resi instruments were used (IML Resi PD-400 and IML Resi PD-500), and all had been recently serviced or were new. The instruments were operated by experienced operators. Constant sampling conditions of feed speed 200 cm/min and 3500 RPM were used. The order of instrument use, and hence the order of operator assessment at each site, was randomized. The variance between Resi instruments was small. The measured mean basic density of 50 mm outerwood cores across all plots was 542 kg/m3, while Resi-predicted basic density varied among instruments between 535 and 547 kg/m3. One Resi instrument underpredicted basic density by 9 kg/m3 and another overpredicted by 5 kg/m3. The operator had no effect on the basic density prediction. Resi PD400 or PD500 instruments gave similar basic density predictions.
Details
- Title
- Predicting Wood Density Using Resistance Drilling: The Effect of Instrument and Operator
- Authors
- Vilius Gendvilas (Corresponding Author) - University of the Sunshine Coast, Queensland, Forest Research InstituteDavid J. Lee (Author) - University of the Sunshine Coast, Queensland, Forest Research InstituteDominic P. Kain (Author) - HQPlantationsChandan Kumar (Author) - Department of Primary IndustriesGeoff M. Downes (Author) - Forest Quality Pty LtdMarco Lausberg (Author) - Wood Quality Consulting Limited (New Zealand)Jonathan J. Harrington (Author) - Scion
- Publication details
- Forests, Vol.15(1), pp.1-13
- Publisher
- MDPI AG
- Date published
- 2024
- DOI
- 10.3390/f15010157
- ISSN
- 1999-4907
- Copyright note
- © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
- Data Availability
- Data are available from the corresponding author upon reasonable request.
- Grant note
- This research was funded by Forestry and Wood Products Australia project “Assessing and managing mid-rotation wood quality in Australian softwood plantations to produce fit-for-purpose logs”. Project number: PNB548-2021.
- Organisation Unit
- Forest Industries Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 99993097602621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Forestry