Sensitive misalignment-based dynamic loaded meshing impact diagnosis mechanism for aviation spiral bevel gear transmission

Abstract

Focusing on dynamic loaded meshing impact under complex operation condition, its innovative diagnosis mechanism including judgment, prediction, sensitivity analysis and optimization is developed for aviation spiral bevel gear transmission by modifying the misalignment which is of strong sensitivity. Firstly, data-driven finite element modeling relating to misalignments for aviation gear transmission structure is developed. Then, dynamic loaded meshing impact judgement for the initial misalignments is investigated by using dynamic loaded tooth contact analysis (DLTCA). Where, loaded contact pattern is used for impact position evaluation, and dynamic loaded contact pressure is used for impact force evaluation considering the action area. A semi-finite element method (semi-FEM) solution is used for prediction of dynamic loaded meshing impact evaluations including torque distribution, impact force, angular velocity and angular acceleration. Moreover, a new sensitive misalignment-based optimization is developed to get an improved dynamic meshing impact. Sensitivity analysis strategy is applied to select a small amount of misalignments as the optimal design variables for improving diagnosis efficiency. The singular value decomposition (SVD) algorithm is used for solve the established optimization model for accurate misalignments with modification variations. Finally, the numerical and test instances can verify the proposed method.