Abstract
To study accurately the influence of the deformation, stress, and strain of turbine blisk on the performance of aeroengine, the comprehensive reliability analysis of turbine blisk with multiple disciplines and multiple objects was performed based on multiple response surface method (MRSM) and fluid-thermal-solid coupling technique. Firstly, the basic thought of MRSM was introduced. And then the mathematical model of MRSM was established with quadratic polynomial. Finally, the multiple reliability analyses of deformation, stress, and strain of turbine blisk were completed under multiphysical field coupling by the MRSM, and the comprehensive performance of turbine blisk was evaluated. From the reliability analysis, it is demonstrated that the reliability degrees of the deformation, stress, and strain for turbine blisk are 0.9942, 0.9935, 0.9954, and 0.9919, respectively, when the allowable deformation, stress, and strain are 3.7 × 10−3 m, 1.07 × 109 Pa, and 1.12 × 10−2 m/m, respectively; besides, the comprehensive reliability degree of turbine blisk is 0.9919, which basically satisfies the engineering requirement of aeroengine. The efforts of this paper provide a promising approach method for multidiscipline multiobject reliability analysis.
Highlights
An aeroengine as the power system of aircraft seriously influences the performance and reliability of air vehicle [1]
In the light of the results of fluid-thermal-solid coupling analysis, the points corresponding to the maximum values of blisk’s deformation, stress, and strain are regarded as the computational point of reliability analysis of turbine blisk
(c) Simulation history of strain of aeroengine turbine blisk through the multiobject reliability analyses of the deformation, stress, and stress of turbine blisk based on fluid-thermal-structural coupling analysis
Summary
An aeroengine as the power system of aircraft seriously influences the performance and reliability of air vehicle [1]. To solve the above issues, accompanied with the heuristic idea of MRSM [18], the comprehensive reliability analysis of aeroengine turbine blisk with multifailure models (multiobject) was completed by considering multidiscipline of heat, fluid, and structure. (3) Structure the multiple response surface models by extracting the samples of input variables and calculating the output response of each object based on simulation methods like MCM [13]. When y and X express the output response and the vector of input random variables, respectively, the quadratic polynomial response surface function is structured as follows:. From (6), we can gain the undetermined coefficients of (5) and further the mathematical model of MRSM is y(1)
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