Research on Dynamic Balance of Spindle Rotor System Based on Particle Swarm Optimization

Abstract

The dynamic balance is a significant issue for the nonlinear dynamic characteristics of the spindle rotor system. However, there is a problem that the dynamic balance is lacking detailed study on optimization method. In the paper, a modal dynamic balance optimization model of spindle rotor system is proposed, which can intend to improve the accuracy of spindle rotor system modal dynamic balance. Because the multiorder unbalance components are the main spindle rotor system mode shapes, the particle swarm optimization (PSO) method is adopted. The sum of squares of residual vibration after balancing is taken as the optimization objective, and the correction is presented as the optimization variable in the optimization model. The optimal correction weight of every unbalance component is calculated through a modal matrix equation of PSO. The vibration amplitude that is greatly reduced after optimization balance is presented under different conditions. The balancing effect shows a better dynamic characteristic than that of traditional methods. And the fluctuation range of the axis track of the rotor system also shows reductive phenomenon. The proposed optimization spindle rotor system model is well verified through experiments. It can contribute a theoretical optimization foundation for available dynamic balance in spindle rotor system.

Dynamic analysis of grinding electric spindle bearing-rotor system under eccentric action

“…Hyeong-Joon Ahn et al proposed that measuring the radial error of the motorized spindle by the cylindrical capacitive sensor can effectively avoid the influence of the geometric error of the rotor (Ahn et al, 2007). Yao et al proposed a magnetic bearing controller, realizing the three-dimensional trajectory control of the spindle rotor (Yao and Chen, 2019).Wang et al proposed a modal dynamic balance optimization model for the spindle rotor system (Wang et al, 2021a). Wang et al established the temperature field model of the electrospindle, and discussed the dynamic characteristics of the electrospindle under the influence of interference fit and thermal displacement (Wang et al, 2021b).…”

Section optimization design of UHPC beam bridges based on improved particle swarm optimization

“…Particle Swarm Optimization (PSO) is a concept of swarm intelligence that draws inspiration from neuroscience, cognitive psychology, social behavior, and behavioral science research (Wang et al, 2021). It is mainly used in the field of optimization (Jain et al, 2018;Aje and Josephat, 2020).…”