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Licensed Unlicensed Requires Authentication Published by De Gruyter October 29, 2020

Friction correction when predicting wood basic density using drilling resistance

  • Vilius Gendvilas ORCID logo EMAIL logo , Geoffrey M. Downes , Mark Neyland , Mark Hunt , Andrew Jacobs and Julianne O’Reilly-Wapstra
From the journal Holzforschung

Abstract

Basic density is a fundamental wood property of pulp and sawn wood. An IML Resi PD 400 drilling resistance tool (IML System GmbH, Wiesloch, Germany) was used to evaluate the basic density of Eucalyptus nitens discs and the impact of needle friction on basic density prediction. To determine the accuracy of that prediction with the commonly used linear drill bit shaft friction correction and determine whether this correction is linear, 40 discs were drilled radially, then cut into segments which were measured for basic density. Drilling resistance had a strong relationship with basic density in the outer wood; it was weaker at the pith but this did not compromise prediction accuracy. When using a linear friction correction, the drilling resistance underpredicts basic density by 7.6% in the first 2–3 cm after stem entry, after which the prediction error ranged from 0.6–1.9%. The friction correction was found to be nonlinear, especially at the first few centimeters. To apply this friction correction, basic density values from the model should be added to predict basic density values until 2.9 cm from Resi entry point and after that subtracted to account for the drill bit shaft friction.


Corresponding author: Vilius Gendvilas, School of Natural Sciences and ARC Training Centre for Forest Value, University of Tasmania, Hobart, Tasmania, Australia, E-mail: .

Acknowledgments

We would like to thank Michelle Balasso for access to the plantation material used for this study, Michael Oates for cutting wood samples, Thomas Baker for assistance in the field and statistical support, Meagan Porter for assistance in the laboratory and Chris Beadle for comments on manuscript.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This research was supported by the Australian Research Council Industrial Transformation Training Centre for Forest Value (grant no. IC150100004).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2020-06-09
Accepted: 2020-09-04
Published Online: 2020-10-29
Published in Print: 2021-06-25

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