MODELING AND OPTIMIZATION OF PARTICLEBOARDS PRODUCED FROM RICE HUSK WASTE USING R7AD2 ADHESIVE
The desired to be among the industrialized nation is very important for a developing country like Nigeria with rapid population growth. Waste is generated due to socio-economic activities from various sources such as agricultural residue, but the potentials of these wastes from different sources are not adequately harnessed for usefulness and thus increase in ecology management and environmental sustainability. This paper seeks to determine the best formulated particleboard produced from rice husk (RH) waste using R7AD2 adhesive via modeling and optimization process. Particleboards was formulated from RH waste using Design-Expert software, Version 6.0.8 which generated eight (8) formulations based on 2 factorial designs with 3 responses. The responses percentage water absorption and density data were modeled and optimized to determine the best fit from the particleboards produced using the statistical tools: analysis of variance (ANOVA) and sequential model sum of squares (SMSS). The analyzed data for percentage water absorption (%WA) at 2hours, 24 hours and density were best described with Cubic models based on the following factors: precision adequacies of 19.347, 19.238 and 3.454; standard deviations of 1.81, 1.47 and 33.78; F values of 25.94, 49.50 and 1..84, Prob > F values of 0.0070, 0.0019 and 0.246 respectively. The numerical model found a solution with the high desirability factor of 0.979 suggesting formulation RHP8 with 0.32A (rice husk) to 0.68B (R7AD2) adhesive as best fitted model from the optimization, with characteristic properties of 2.26 %WA at 2 hours, 21.25%WA at 24 hours and 843.13 kg/m3. Thus placing the produced particleboard formulation in high density category based on Japanese Industrial Standard A5908 (2003) and American National Standard Institute A208.1 (2009).
Keywords: Modeling, optimization, particleboard, Waste, Adhesive