辊轧机传动系统齿轮修形优化OA

To meet the high-reliability demands of the gear transmission systems in aero-engine blade rolling mills,multi-dimensional simulation and optimization methods were employed to improve the comprehensive performance.A virtual gear transmission system model was built using Romax software,and the high-load gears Z3 and Z6 were identified by combining static and dynamic analyses.Internal excitation analysis revealed the gear meshing impact characteristics,and a tooth surface flash temperature model was built based on Blok theory to obtain the temperature distribution along the tooth surface distance and the rolling angle.The second-generation genetic algorithm was used to optimize the composite modification of high-load gears.The results showed that after modification,the contact stress distribution on the tooth surface was improved from a step-like pattern to a uniform arch-shaped pattern,with the maximum stress reduced by 20.47%-44.94%.The fluctuation range of transmission error was reduced from 11.97-14.56 μm to 2.26-4.53 μm,and the amplitude was reduced by 68.89%-84.15%.The maximum tooth surface temperature decreased by 5.3%-13.18%,and the thermal concentration phenomenon was significantly alleviated.This study demonstrates that composite modification can synergistically optimize the mechanical,kinematic,and thermodynamic performance of gear transmission systems,providing a theoretical basis for the reliability design of high-precision gears in aviation rolling mills.