A relevant and robust vacuum-drying model applied to hardwoods.
Saved in:
| Title: | A relevant and robust vacuum-drying model applied to hardwoods. |
|---|---|
| Authors: | Redman, Adam adam.redman@daf.qld.gov.au, Bailleres, Henri1, Perré, Patrick2, Carr, Elliot3, Turner, Ian |
| Source: | Wood Science & Technology. Jul2017, Vol. 51 Issue 4, p701-719. 19p. |
| Subjects: | Hardwoods, Lumber drying, Heat transfer, Mass transfer, Plant species |
| Abstract: | A robust mathematical model was developed to simulate the heat and mass transfer process that evolves during vacuum-drying of four commercially important Australian native hardwood species. The hardwood species investigated were spotted gum ( Corymbia citriodora), blackbutt ( Eucalyptus pilularis), jarrah ( Eucalyptus marginata), and messmate ( Eucalyptus obliqua). These species provide a good test for the model based on their extreme diversity between wood properties and drying characteristics. The model uses boundary condition data from a series of vacuum-drying trials, which were also used to validate predictions. By using measured diffusion coefficient values to calibrate empirical formula, the accuracy of the model was greatly improved. Results of a sensitivity analysis showed that the model outputs provide excellent agreement with experimental observation despite the large range of species behaviour and variation in wood properties. This study confirms that the drying rate is significantly improved as a direct result of the enhanced convective and diffusive transfer along the board thickness. Contrary to softwood, it appears that longitudinal migration provides only a secondary effect. Not only is the model able to predict the heat and mass transfer behaviour of a range of hardwood species, it is also flexible enough to predict the behaviour for both conventional and vacuum-drying scenarios. The outcomes of this work provide the hardwood industry with a well-calibrated predictive drying tool that can be used to optimise drying schedules. [ABSTRACT FROM AUTHOR] |
| Copyright of Wood Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
Be the first to leave a comment!
