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Method for realizing aeroelasticity optimization design of turbomachinery by considering random detuning

An aeroelastic, impeller machinery technology, applied in computer-aided design, design optimization/simulation, multi-objective optimization, etc., can solve problems such as blade fatigue failure, accident, blade stress increase, etc., to reduce forced vibration amplitude, reduce sensitivity sex, life-enhancing effect

Active Publication Date: 2021-01-05
SHANGHAI JIAO TONG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These two forms of vibration will increase the stress on the blade and cause fatigue failure of the blade within a limited number of vibration cycles: at the slightest, the blade will crack, and at the worst, the blade will break, causing serious accidents

Method used

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  • Method for realizing aeroelasticity optimization design of turbomachinery by considering random detuning
  • Method for realizing aeroelasticity optimization design of turbomachinery by considering random detuning
  • Method for realizing aeroelasticity optimization design of turbomachinery by considering random detuning

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Embodiment Construction

[0047] like figure 1 As shown, this embodiment relates to an optimal design method of turbomachinery aeroelasticity including random detuning, including the following steps:

[0048] Step 1: Select an axial fan blade, and use the function (blade parameter extraction unit) written by Matlab to parameterize the original blade.

[0049] Step 2: Experimental design: According to the number of blade design variables and the upper and lower limits of each variable, use Latin hypercube sampling to generate an appropriate number of experiments.

[0050] Step 3: Use the custom Matlab function to drive the Turbogrid module in the computational fluid dynamics software CFX to divide the single-channel grid of the flow field, such as figure 2 shown. The surface of the blade is an O-shaped grid, and the grid scale meets the requirement that Y+ is less than 5. Import the single-channel flow field grid into CFX-Pre, and use Turbo Rotation to copy (N-1) grids with the rotation axis to obta...

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Abstract

The invention provides a method for realizing aeroelasticity optimization design of turbomachinery by considering random detuning. Based on flutter calculation of an influence coefficient method and forced vibration analysis of a basic detuning model and a Monte Carlo method, on the premise that aerodynamic performance and static stress are restrained, industrially-machined blades have similar vibration characteristics in different installation modes. Flutter stability is remarkably improved, and blade forced vibration response under condition of random detuning is reduced. According to the method, for the selected axial flow fan blade, on the premise that aerodynamic performance and static stress are restrained, the minimum aerodynamic damping of the selected axial flow fan blade is increased by about 19%, and the maximum forced vibration amplitude under random detuning is reduced by about 18%.

Description

technical field [0001] The invention relates to a technology in the field of aero-engine manufacturing, in particular to a method for realizing the optimal design of turbomachinery aeroelasticity taking into account random detuning. Background technique [0002] As the working part of the turbomachinery, the blade is subjected to various loads (such as the centrifugal force generated by the rotation, the unsteady aerodynamic force generated by the wake of the upstream vane / guide vane, etc.), which will not only affect the aerodynamic performance but also cause Blade vibration problem. Therefore, in order to ensure efficient and safe operation, the design of the blade must take into account both aerodynamic and structural performance. [0003] The aeroelastic vibration caused by the interaction between the blade and the fluid will lead to the fatigue failure of the blade. The two most common aeroelastic phenomena are: 1. Flutter; 2. Forced vibration. Flutter is a self-excit...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06F30/23G06F111/04G06F111/06G06F113/06G06F119/14G06F119/18
CPCG06F30/17G06F30/23G06F2111/04G06F2111/06G06F2113/06G06F2119/14G06F2119/18
Inventor 范城玮吴亚东
Owner SHANGHAI JIAO TONG UNIV
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