Regression Models for the Prediction of Poplar Particleboard Properties based on Urea Formaldehyde Resin Content and Board Density

Authors
F. Eslah 1
A. A. Enayati 2
M. Tajvidi 2
M. M. Faezipour 2
1 MSC
2 PHD
Abstract
The aim of this study was to explore the minimum amount of urea formaldehyde (UF) resin content and optimum particleboard density while maintaining boards’ quality to reduce production costs. Board density at three levels (520, 620 and 720 kg m-3) and resin content (6, 7 and 8%) were variable parameters. Stepwise multivariate linear regression models were used to evaluate the influence of board density and resin content on board properties and to determine the most effective parameter. In order to obtain the optimum board density and minimum resin content, contour plots were drawn. Regression models indicated that both board density and resin content were included in Modulus of Rupture (MOR) and Modulus of Elasticity (MOE) models based on the degree of their importance. Internal Bond (IB) model only had one step and resin content positively affected it. The results obtained from contour plots revealed that manufacturing poplar particleboards with density ranging from 600 to 650 kg m-3 and 6% resin would result in boards with mechanical properties within those required by the corresponding standard. Thickness swelling (TS) values were slightly higher (poorer) than the requirements. The panels required additional treatments such as using adequate amount of water resistant materials to improve thickness swelling after 2 and 24 hours of immersion.

Keywords

1. Anon, A. 2003. Lyn Van the Hoef, Box Hill Customer Service Center. Department of Primary Industries/Department of Sustainability and Environment, Victoria, Australia.
2. ANSI. 2009. Particleboard. American National Standard, ANSI A208.1-2009, National Composite Association, Lesburg, VA.
3. Ashori, A. and Nourbakhsh, A. 2008. Effect of Press Cycle and Particleboard Made from the Underutilized Low-quality Raw Materials. Ind. Crop. Prod., 28: 225-230.
4. Balatinecz, J.J. and Kretschmann, D.E. 2001. Properties and Utilization of Poplar Wood. In: "Poplar Culture in North America", (Eds): Dickmann, D. I., Isebrands, J. G., Eckenwaldesr, J. E. and Richardson, J.. Canada, PP. 277-292.
5. Cook, D. F. and Chiu, C. C. 1997. Predicting the Internal Bond Strength of Particleboard, Utilizing a Radial Basis Function Neural Network. Eng. Appl. Artif. Intell., 10(2): 171-177.
6. Doosthoseini, K. 2008. Wood Composite Materials, Manufacturing, Applications. Tehran University Press, Iran, 1: 647. (in Persian)
7. Draper, N. R. and Smith, H. 1998. Applied Regression Analysis. Revised Edition, John Wiley & Sons, New York, 709 PP.
8. EN 310. 1993. Wood Based Panels. "Determination of Modulus of Elasticity in Bending and Bending Strength". European Committee for Standardization, Brussels, Belgium.
9. EN 312. 2003. Particleboards-specifications. European Committee for Standardization, Brussels, Belgium.
10. EN 317. 1993. Particleboard and Fiberboards. Determination of Swelling in Thickness after Immersion in Water. European Committee for Standardization, Brussels, Belgium.
11. EN 319. 1993. Determination of Tensile Strength Perpendicular to the Plane of the Board. European Committee for Standardization, Brussels, Belgium.
12. EN 323. 1999. Wood Based Panels. "Determination of the Density". European Committee for Standardization, Brussels, Belgium.
13. EN 326. 1993. Wood Based Panels: Sampling, Cutting and Inspection. "Sampling and Cutting of Test Pieces and Expression of Test Results". European Committee for Standardization, Brussels, Belgium.
14. Fernández, F. G., Esteban, L. G., Palacios, P. D., Navaro, N. and Conde, M. 2008. Prediction of Standard Particleboard Mechanical Properties Utilizing an Artificial Neural Network and Subsequent Comparison with a Multivariate Regression Model. Investigación Agraria: Sistemasy Recursos Forestales., 17(2), 178-187.
15. Gamier, R. L. 1976. Utilization and Marketing as Tools for Aspen Management in the Rocky Mountains. Proceeding of the Symposium, Fort Collins, PP. 87-90.
16. Hayashi, K., Ohmi, M., Tominaga, H. and Fukada, K. 2003. Effect of Board Density on Bending Properties and Dimensional Stabilities of MDF-reinforced Corrugated Particleboard. J. Wood Sci. Technol., 49: 398-404.
17. Hesch, R. 1993. Correlations Among Density, Resin Content and Quality Criteria in Homogeneous boards of Bagasse. Euro. J. Wood. Wood Prod., 51(5):312-318.
18. Hiziroglu, S., Jarusombuti, S. and Fuengvivat, V. 2005. Surface Characteristics of Wood Composites Manufactured in Thailand. Build. Environ., 39:1359-1364.
19. Hua Y. K., JIN, J. W., 2006. Status and Development of The Southern Type Poplar Processing Industry in Jiangsu Prpvince. China Wood Indust (in Chinese with English abstract).
20. Kalogirou, S., Eftekhari, M. and Marjanovic, L. 2003. Predicting the Pressure Coefficients in a Naturally Ventilated Test Room Using artificial Neural Network. Build. Environ., 38: 399-407.
21. Kalaycioglu, H., Deniz, I. and Hiziroglu, S. 2005. Some of the Properties of Particleboard from Paulownia. J. Wood Sci. Technol., 51 (4), 410-414.
22. Kim, S. 2009. Environment-friendly Adhesives for Surface Bonding of Wood-based Flooring Using Natural Tannin to Reduce Formaldehyde and TVOC Emission. J. Bio-resource Technol. 100: 744–748.
23. Malinove, S., Sha, W. and Meckeown, J. J. 2001. Modeling the Correlation Between Processing Parameters and Properties in Titanium Alloys Using Artificial Neural Network. J. Comput Mater Sci., 21: 375-394.
24. Maloney, T. M. 1977. Modern Particleboard and Dry-process Fiberboard Manufacturing. Miller Freeman Publication, San Francisco, Calif., USA, 672 PP.
25. Nemli, G. 2002. Factors Affecting the Production of E1 Type Particleboard. Turk. J. Agric. For., 26(1): 31-36.
26. Mohebby, B. and Hadjihassani, R. 2008. Moisture Repellent Effect of Acetylation on Poplar Fibers. J. Agr. Sci. Tech., 10: 157-163.
27. Nemli, G., Zekovic, E. and Aydin, I. 2007. Evaluation of Some of the Properties of Particleboard as Function of Manufacturing Parameters. J. Materials Design, 28: 1169-1176.
28. Rijo, C. 1988. The Effects of Increasing Density and Adhesive Content on Mechanical Properties of Chusquea culeau Particleboard Glued with Urea-formaldehyde Resin. BOSQUE., 9(1) : 55-59.
29. Rowell, P. M. 2005. Handbook of Wood Chemistry and Wood Composites. CRC Press, Felorida: Talor and Francies, 487pp.
30. Sellers, T. 2000. Growing Markets for Engineered Products Spurs Research. J. Wood Sci. Technol., 127(3): 40-43.
31. Zhou, D. 1990. A Study of Oriented Strand Board Made From Hybrid Poplar. Holz als Roh-und Werkstoff., 48: 293-296.
Journal of Agricultural Science and Technology
Volume 14, Issue 6
November and December 2012
Pages 1321-1329