Dynamic optimization of two-stage reducer considering design and layout parameters

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (13) : 259-268.

JIN Pengcheng, ZHOU Jianxing, QI Le, WANG Shengnan, ZHOU Hengyu, SONG Lirui

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Abstract

In order to study the dynamic performance optimization method of multistage fixed-axle gear train,a parametric dynamics model including gear design parameters (number of teeth,modulus,tooth width) and system layout parameters (gear installation position,interstage phase Angle) was established by using the generalized finite element method. Newmark-β time domain integral method was used to solve the dynamic equation at rated speed,and the influence of each parameter on the dynamic characteristics of the system was analyzed. On this basis,the multistage fixed axis gear system dynamic optimization method is proposed,taking design and layout parameters as variables,reducer gear ratio,the diameter of axle width as constraint conditions,such as dynamic load amplitude and minimum on bearing load difference as the main target,multi-objective hybrid discrete optimization model is established, and obtain the optimal design variables based on bayesian algorithm programming model. The results show that the amplitude of the first stage meshing force of the optimized reducer is reduced by 18.9%,the amplitude of the second stage meshing force is reduced by 17.2%,and the load difference of bearings on both sides of shafting is reduced by 36%,40% and 45% respectively. The mass decrease by 8.7%,the volume of boundary box decrease by 27%,and the optimization effect is obvious.

Key words

Multi-objective optimization / Parametric dynamic model / Layout parameter / Dynamic performanc e / Bayesian algorithm

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JIN Pengcheng, ZHOU Jianxing, QI Le, WANG Shengnan, ZHOU Hengyu, SONG Lirui. Dynamic optimization of two-stage reducer considering design and layout parameters[J]. Journal of Vibration and Shock, 2023, 42(13): 259-268

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