Discussion

1. Discussion • The HeatConduction model succesfully created graphs that followed the laws of heat transfer based on the materials involved • The DE optimization also found values that were within the physical range of the system • It was assumed that the parameters of air could not be changed, so only the wood parameters were investigated further in order to find other factors that effect the optimal drying of wood • Discussion • The Density of a sample of wood increases with age (Lim 2003) • Thermal Conductivity has been related to the moisture content of wood, as well as other factors through this equation (Gu 2007) • Heat Capacity has also been related to moisture content using this equation (Gu 2007) • Conclusion • The optimal age to dry a piece of Rubberwood is at its oldest age because there is a positive correlation between age and density of wood • Based on the equations above the optimal moisture content at which to dry Rubber wood is 30% - 50% • Bibliography • Awadalla, H.S. F., A F. El-Dib, M A. Mohamad, M Reuss, and H.M. S. Hussein. "Mathematical Modelling and Experimental Verification of Wood Drying Process." Energy Conservation and Management (2003): 197-207. • Blomberg, Thomas. "Heat Conduction In Two and Three Dimensions Computer Modelling of Building Physics Applications." (1996). • Chirasatitsin, Somjit, Suteera Prasertsan, Worawut Wisutmethangoon, and Buhnnum Kyokong. "Mechanical properties of rubberwood oriented strand lumber (OSL): The effect of strand length." Songklanakarin Journal of Science and Technology 27 (2005): 1047-055. • Du, Guanben, Siqun Wang, and Zhiyong Cai. "Microwave Drying of Wood Strands." Drying Technology 23 (2005): 1-16. • Gu, Hongmei, and John F. Hunt. "Two-Dimensional Finite Element Heat Transfer Model of Softwood. Part I Effective Thermal Conductivity." Wood and Fiber Science 38 (2006): 592-598. • Gu, Hongmei, and John F. Hunt. "Two-Dimensional Finite Element Heat Transfer Model of Softwood. Part III Effect of Moisture Content on Thermal Conductivity." Wood and Fiber Science 39 (2007): 159-66. • Hong, L. T. "Rubberwood Utilization: A Success Story." 1993. <http://http://www.metla.fi/iufro/iufro95abs/>. • Hunt, John R., Hongmei Gu, Phillip Walsh, and Jerrold E. Winandy. "Development of New Microwave-Drying Technology for Low Value Curved Timber." USDA (2005). • Killman, W. "Non-Forest Tree Plantation." Forest Plantations Thematic Papers, Forestry Department, Food and Agriculture Organization of the United Nations (2001). • LeVeque, Randall J. "Finite Difference Methods for Differential Equations." 585-586 (2005). • Lienhard, John IV, and John V Lienhard. A Heat Transfer Textbook. 3rd ed. Cambridge, MA: Philogiston P. (2003) • Lim, S. C., K. S. Gan, and K. T. Cho. "The Characteristics, Properties and Uses of Plantaton Timbers - Rubberwood and Acacia mangium." Timber Technology Bulletin 26 (2003): 1-11. • P. Rattanadecho, “The simulation of microwave heating of wood using a rectangular wave guide: Influence of frequency and sample size”, Chemical and Engineering Science, 61(4) 2006, 4798-4811 • Price, Kenneth, and Storn Rainer. "Minimizing the real functions of the ICEC'96 contest by Differential Evolution." (1996). • Price, Kennith and Storn, Rainer. “Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces.” March 1995, 1-12 • Simpson, William T. "Drying Technology Issues in Tropical Countries." USDA Forest Service (1992). • Storn, Rainer. "Differential Evolution Design of an IIR-Filter with Requirements for Magnitude and Group Delay." 26 (1995). • Storn, Rainer. “On the Usage of Differential Evolution for Function Optimization”, 1996, 1-5 • Suvarnakuta, Peamsuk, Sakamon Devahastin, and Arun S. Mujumdar. "A mathematical model for low-pressure superheated steam drying of a biomaterial." (2006): 675-83. • Wiwatanapataphee, B., Y H. Yu, R Collinson, and G Zhang. "An Exponentially Fitted Enthalpy Control Volume Algorithm Of Coupled Fluid Flow and Heat Transfer." Anziam J. (2000).