Structure Optimization Of Spline Shape Disk Supporting Low Pressure Turbine Rotor

The spline conical disk supporting low pressure turbine rotor is one of the most importantcomponents of aero-engine,bearing different complex thermal and mechanical loads. Theoptimization of the spline conical disk is imminent to make a more rational structure.The articleresearchs the optimization of Spline conical disk of a aero-engine supporting low pressure turbinerotor，and validates the intensity and the rigidity of the structure of the calculated by experiments. Atthe same time,the article optimizes the structure of the spline conical disk to guide the design systemof the spline conical disk，while analyzing the intensity and the stability.The article uses Hypermesh to establish the3D finite element model of the spline conical disksupporting low pressure turbine rotor,then calculates the stress distribution and the displacementdistribution in defferent three work conditions and anlysizes the factors influencing the the stressdistribution and the displacement distributiong,based on elastic finite element and nonlinear finiteelement contact,for providing the reference to the following optimization.Then, the article does thetorsion test of the thin-walled cylinder specimen and compares the calculation results by Radioss.Theresult indicates that Radioss is reliable to anlysize limear buckling of thin-walled structure.The article uses Optistruct to optimize the spline conical disk supporting low pressure turbineretor.The article does shape optimization with the shape of the spline part of conical disk as the designvariables,the mass of conical disk as the objective function,the intensity and rigidity of conical diskas the constraint.Then,the article does free-shape optimization for the stress concentration part,withthe shape of the stress concentration part as the design variables,the maximum stress of the conicaldisk as the objective function,making the value of the maximum stress minimum.The result ofcalculation indicates that the optimization reduces the maximum stress and improves the ability ofresistance to buckling while reducing the quality.