Optimization design of load-sharing and light weight of the twin rotors concentric face gear power-split transmission system based on gear tooth matching condition

Author:

Hao Dong12ORCID,Dong-bo Zhang12,Ze-Xu Cao12,Yan Xiao-Rong Hu3,Xiao-long Zhao12ORCID,Xi-yao Liu12

Affiliation:

1. School of Mechatronic Engineering, Xi’an Technological University, Xi’an, China

2. Engineering Research Center of Digital Intelligent Technology of High Performance Gear Transmission, Universities of Shaanxi Province, Shaanxi Province, China

3. School of Computer Science and Engineering, Xi’an Technological University, Xi’an, China

Abstract

To improve the dynamic load-sharing performance and achieve lightweight, the twin rotors concentric face gear power-split transmission system (TRFGPSTS) was optimized. The gear tooth matching conditions of the system based on the design characteristics of power flow closed-loop and virtual constraint configuration of the system are established, and the basic parameters of each gear meet the requirements of the system load-sharing layout and synchronous meshing of each branch movement are calculated. Based on the lumped mass parameter method, combined with the calculation results of gear tooth matching, the 45-DOF bending torsional coupling dynamic model of the system was established considering time-varying meshing stiffness, support stiffness, manufacturing and installation errors, and other factors, and the influence of each factor on the dynamic load-sharing performance of the system was analyzed. Combined with the influence law of various factors, a multi-objective dynamic load-sharing optimization design model was established with the best dynamic load-sharing performance and the minimum system quality as the objective function. Through the weighted combination method, the global optimal solution of the system optimization design was determined, and the influence of each parameter on the optimization objective function was analyzed. The correctness of the results was verified by using the genetic algorithm based on Pareto frontier distribution. The results show that the dynamic load-sharing characteristics of the system become worse with the increase of error and torsional stiffness, and are more sensitive to the influence of various error parameters. The optimization process focuses on the geometric parameters such as the Module, the teeth Number, the Pressure angle, and the Tooth width of each gear, which can reflect the degree of influence on the dynamic load-sharing and lightweight of the system. After optimization, the dynamic load sharing coefficient (DLSC) was reduced to 1.017, and the overall geometric volume was reduced to 1.473 × 108 mm3. It provides a theoretical basis for the design and research of a new type of helicopter power transmission system with a compact structure, good maneuverability, and high reliability.

Funder

Scientific Research Program Funded by Shaanxi Provincial Education Department

the National Natural Science Foundation of China

Xi’an Science and Technology Plan Project

Xi’an Weiyang District Science and Technology Plan Project

Publisher

SAGE Publications

Subject

Mechanical Engineering

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