Optimization Design of the Interference Connection Structure for Turbocharger Turbine Rotors Based on Back Propagation Neural Network
To solve the stress problems existing in the interference connection structure of the titanium-aluminum alloy turbine and the K418 alloy sleeve,the turbine rotor interference connection structure was taken as the research object.A profile and a stress prediction model of the interference connection structure were designed and established.And the influences of different profiles on the stress distribution state were analyzed based on the stress prediction model of the interference connection structure.The research results show that the prediction error of the interference connection structure stress prediction model for average contact stress is 0.67%,and the prediction error for the maximum Mises stress is 8.25%,which has high accuracy.The optimized design scheme of the profile obtained by using the interference connection structure stress prediction model reduces the maximum Mises stress of the turbine shaft by 42.01%,while the average contact stress only decreases by 10.22%.The reliability of the interference connection structure of the turbocharger turbine rotor is significantly improved.
万方数据
维普
