Optimization of Mechanical Properties of Bamboo Plywood
Abstract
This study describes a process to apply response surface methodology (RSM) together with a niched Pareto genetic algorithm for optimization of the mechanical properties of bamboo plywood. Experiments were carried out to investigate the dependences of parallel and perpendicular modulus of rupture (MOR) and modulus of elasticity (MOE) of bamboo plywood on hot-pressing temperature, hotpressing time, pressure, amount of adhesive, and moisture content. Empirical equations were presented to describe the dependences. Orthogonal tests and RSM were used to establish models for MOE and MOR of bamboo plywood in the parallel and perpendicular directions. Solutions of the models were obtained by means of a Pareto genetic algorithm. By comparing the solutions with given initial values, the optimized parallel and perpendicular MOR were increased by 19.52 and 23.35%, respectively, and the optimized parallel and perpendicular MOE by 21.50 and 12.57%, respectively. Based on the optimization, typical panel operational parameters were hot pressing temperature 163.3C, hot-pressing time 17.6 min, hotpressing pressure 4.0 MPa, amount of adhesive 8.9%, and MC 15.7%. Results from this study are useful to bamboo plywood mills for selecting operational parameters to determine mechanical properties of bamboo plywood, which will decrease workload and time in determining technical parameters to manufacture bamboo plywood with expected MOE and MOR.
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