Method for predicting aeroelasticity stability numerical value of turbomachinery with error frequency included

A technology of aeroelasticity and numerical prediction, applied in calculation, electrical digital data processing, special data processing applications, etc., can solve problems such as predicting the aeroelastic stability of turbomachinery blades, and achieve the effect of saving calculation amount

Inactive Publication Date: 2013-02-20
BEIHANG UNIV
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

One of the biggest difficulties is how to solve the equations of motion that include aerodynamic coupling terms
There is curre

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for predicting aeroelasticity stability numerical value of turbomachinery with error frequency included
  • Method for predicting aeroelasticity stability numerical value of turbomachinery with error frequency included
  • Method for predicting aeroelasticity stability numerical value of turbomachinery with error frequency included

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0058] The present invention is a method for predicting the aeroelastic stability of an impeller machine with wrong frequency. The specific steps are as follows:

[0059] Step 1: Build a finite element model of the blade;

[0060] Establish a blade finite element model in the CAE pre-processing software for a given entity model;

[0061] Step 2: Perform modal analysis with prestress on the established finite element model;

[0062] First, import the established finite element model into the finite element software ANSYS, define the corresponding material parameters, and specify the speed and displacement constraint conditions, and obtain the prestress caused by the centrifugal force through static analysis;

[0063] Then, mass normalized modal analysis is used, and the prestress caused by centrifugal force is taken into account to obtain the natural vibration characteristics of the blade, and extract the natural frequency of the blade vibration and the modal vibration shape to obtain th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a method for predicting an aeroelasticity stability numerical value of a turbomachinery with an error frequency included. An aeroelasticity characteristic value method is adopted, the aeroelasticity of the turbomachinery with the error frequency included is predicted by calculating the characteristic value of an aeroelastic system, and the method provided by the invention comprises seven steps in total. The method provided by the invention adopts a unidirectional coupling technology, firstly natural mode analysis is carried out on an isolated blade, and then blade modal displacement is transmitted to a fluid grid; flow field calculation is divided into constant analysis and non-constant analysis, a specified blade vibrates in the natural mode in the non-constant analysis, an influence coefficient method is applied for processing the obtained non-constant aerodynamic force, and finally the error frequency is introduced by changing generalized rigidity of the blade, a blade motion equation containing an airload is solved to obtain the characteristic value of the aeroelastic system, and whether the system flutters or not is judged by virtue of a symbol of the real part of the characteristic value. The method provided by the invention has good practical value and wide application prospect in the field of aeroelasticity of turbomachinery.

Description

technical field [0001] The invention belongs to the technical field of impeller machinery simulation, and in particular relates to a numerical prediction method for aeroelastic stability of impeller machinery including frequency error based on an eigenvalue method. Background technique [0002] With the in-depth research on the flutter of turbomachinery blades, the application of frequency shift technology to improve the aeroelastic stability of turbomachinery blades has become an effective means of suppressing flutter, and has been widely used in aeroengines with good results. [0003] In the early design research, the blisk rotor was usually regarded as coordinated, that is, the blades on the same stage of the rotor were exactly the same, and of course they had the same vibration characteristics. However, in actual work, due to manufacturing tolerances and service During different degrees of wear and tear, all blisk structures have a certain degree of frequency error. [...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/50
Inventor 付志忠王延荣
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap