Statistical Evaluation and Optimization of Pilliostigma Thonningii Ceiling Board Composite
Abstract
Abstract
The growing interests in the use of lignocellulosic agricultural fibers as reinforcement in composite led to minimize the environmental problem associated with disposal of non-biodegradable composites. This research aims to evaluate and optimize a ceiling board composite from piliostigma thonningii particulate reinforced with styrofoam adhesive. Minitab 17 statistical software was used. The process was successfully modeled and optimized using a Box–Behnken design method with response surface methodology (RSM). The effects of three independent process variables (fibre/binder mixing ratio, pressure and temperature) were investigated, the coefficients of determination (R2 = 97.49 and 99.02%) is enough, which explained adequately for the model to be considered. Furthermore, the optimal conditions for the piliostigma thonningii board were found to be fibre/binder mixing ratio of 1:1w:w, pressure of 500kg/m2 and temperature of 91.73 oC which yielded response values of 9.0466 % water absorption and 0.106810 W/mK thermal conductivity. The optimum results gave a minimal error difference when validated. Hence the board has greater insulating properties and shows good potential to be used as ceiling board.