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Optimization of Mechanical Properties of Bamboo Plywood

Y. S. Yu, C. Y. Ni, T. Yu, H. Wan


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.


Bamboo plywood, mechanical property, MOR, MOE, design optimization, response surface methodology, Pareto genetic algorithm

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