TY - JOUR
AU1 - Cao, Juan
AU2 - Cao, Yuan
AB - The vibration supporting rod of a wheel hub dynamic balancing machine is affected by the alternating dynamic load, and its vibration characteristics have a direct impact on the accuracy of measurements. To solve this problem, first, a particle swarm optimization algorithm (PSO) algorithm is proposed to optimize the dynamic stiffness of the vibration supporting rod. According to the actual material selection, the creep risk of the rod is reduced. Second, three schemes for improving the structure of hub balancing machines are put forward and compared. The displacement response and stress response of scheme A are increased by 30% and 20%, respectively, over those of the original equipment. The displacement response and stress response of scheme C are increased by 31% and 22%, respectively, which is a significant improvement. Schemes A and C are acceptable, but a strong first-mode response remains due to assembly variation.
TI - Optimization Analysis of the Wheel Hub Dynamic Balancing Machine Based on Particle Swarm Optimization
JF - Journal of Physics Conference Series
DO - 10.1088/1742-6596/2694/1/012048
DA - 2024-01-01
UR - https://www.deepdyve.com/lp/iop-publishing/optimization-analysis-of-the-wheel-hub-dynamic-balancing-machine-based-yFa8p05mbI
VL - 2694
IS - 1
DP - DeepDyve
ER -