Optimized design of tea vibrating-shifting machine parameters based on ant colony algorithm

Mathematical model for tea vibrating-shifting machine optimum design was established in this paper. Based on the ant colony algorithms and Matlab, the realization programs for parameters simulation of tea vibrating-shifting machine were made. The programs were used in optimization simulation and verification tests of tilt angles, direction angles, crankthrow, and vibration palstance. The results showed: when tilt angles α were 2.8^°, direction angles β were 52.8^°, crankthrow r was 0.025 m, vibration palstance ω was 21.5 rad/s, the sieve ratio was increased by 14% and the productivity of unit sieving area was increased by 28 kg/(m²·h).