Multi objective optimization of an asymmetric transmission spindle based on improved particle swarm optimization

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (2) : 130-139.

ZHANG Yuntao1，LI Yinong1，ZHANG Zhida1，LUO Fajiu1，WANG Cheng2

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Abstract

In order to solve the problem of unequal strength design on both sides of the main shaft due to the structural layout limitation of the special vehicle transmission system, the nonlinear vibration model of the system is established by using the lumped mass method considering the internal and external excitation of the main shaft bearing system. Based on the established model, Runge-Kutta is used to simulate the bending torsional coupling vibration response of the system and the distribution characteristics of dynamic load and vibration energy under steady-state conditions. The main reason for the fracture of the right side of the spindle is analyzed. In order to solve the problem that the traditional PSO(Particle Swarm Optimization) algorithm is easy to fall into the local optimal solution, an improved PSO algorithm is proposed by adjusting the algorithm parameters and particle mutation. Then, according to the reason of spindle fracture, the improved multi-objective PSO algorithm is used to optimize the structural parameters of the transmission spindle with the fluctuating torque and torsional vibration energy of the system as the optimization objectives, and the Pareto optimal solution set obtained from the optimization is optimized by using the fuzzy set theory. The simulation results show that the left and right sides of the spindle approach to the same strength design after optimization, and the torsional vibration response of the system reaches an optimal equilibrium position. Although the fluctuating torque on the left side of the spindle increases and the torsional vibration energy remains unchanged, the amplitude of the fluctuating torque on the right side decreases by about 25% and the torsional vibration energy on the right side decreases by about 15%.The optimization effect is obvious.

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transmission spindle / bending-torsional coupling / multi-objective optimization / particle swarm algorithm

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ZHANG Yuntao1，LI Yinong1，ZHANG Zhida1，LUO Fajiu1，WANG Cheng2. Multi objective optimization of an asymmetric transmission spindle based on improved particle swarm optimization[J]. Journal of Vibration and Shock, 2022, 41(2): 130-139

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