Sensitive misalignment oriented loaded contact pressure regulation model for spiral bevel gears

Abstract

In full consideration of misalignment having strong sensitivity with respect to meshing transmission performances, an innovative data-oriented loaded contact pressure regulation model is established for spiral bevel gears by fine-modifying the optimal selected misalignment. Here, accurate loaded contact pressure evaluations includes: i) geometric boundary considering size, direction, and position; ii) loaded contact pressure distribution; iii) the maximum loaded contact pressure. Firstly, an improved tooth contact analysis with error (eTCA) is developed to establish data-oriented functional relationships. Loaded contact pressure prediction considering the different evaluations is performed for the initial misalignments and its performances. Moreover, considering accurate prediction and feedback, data-oriented regulation model is established by using numerical loaded tooth contact analysis (NLTCA). Focusing on accurate loaded contact pressure distribution, the constrained sub-objectives are the geometric boundary and the maximum one. Finally, the sensitivity coefficients of each misalignment to each loaded contact pressure evaluation at each contact point are calculated. The sensitivity analysis strategy is provided to get an accurate and effective data-oriented loaded contact pressure regulation model. Given numerical instances can verify that the proposed method get an important access to the meshing transmission performance monitoring and optimization for complex spiral bevel gears.