Estimating moisture content variation in kiln dried Pacific coast hemlock

Author:

Rahimi Sohrab1ORCID,Avramidis Stavros1,Lazarescu Ciprian2

Affiliation:

1. Department of Wood Science , Faculty of Forestry, University of British Columbia , Vancouver , BC , Canada

2. FPInnovations , Vancouver , BC , Canada

Abstract

Abstract Kiln drying is admittedly a significant value-adding step in timber processing where the importance of predicting moisture within a dried batch cannot be overemphasized. This study predicts and characterizes the moisture variation in kiln-dried wood based on the initial and target moisture values using polynomial models. Four polynomial models are used to correlate initial and final moisture characteristics. First model is linear while the three others are nonlinear. The robustness of the three best models is analyzed and a closed formula is proposed to evaluate the final moisture coefficient of variation based on the target moisture and initial moisture coefficient of variation. Three models could successfully characterize the final moisture variation with the best one showing an R 2 > 96%. However, the first (linear) model is the most resilient and, thus recommended for estimating final moisture variation.

Publisher

Walter de Gruyter GmbH

Subject

Biomaterials

Reference49 articles.

1. Anne, J.E. (2000). Kiln tests with species and moisture content sorted, 116 mm square, hem-fir merch lumber, Final report prepared for the Stability Work Group. Vancouver, BC: ZAIRAI Lumber Partnership Ltd.

2. Avramidis, S. (2001). Evaluation of conventional and radio frequency vacuum drying and re-drying of Pacific Coast hemlock Hashira and Harakeke lumbers, Final report prepared for the Stability Work Group. Vancouver, BC: ZAIRAI Lumber Partnership Ltd. and Coast Forest Lumber Association.

3. Berberovic, A. and Milota, M.R. (2011). Impact of wood variability on the drying rate at different moisture content levels. For. Prod. J. 61: 435–442.

4. Cronin, K.P., Norton, B., and Taylor, J. (1997). Drying lumber in kilns: a methodology for stochastic analysis using Markov modeling. Dry. Technol. 15: 765–790, https://doi.org/10.1080/07373939708917261.

5. Cronin, K.P., Abodayeh, K., and Caro-Corrales, J. (2002). Probabilistic analysis and design of the industrial timber drying process. Dry. Technol. 20: 307–324, https://doi.org/10.1081/drt-120002544.

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