Structural part remaining life predicting method based on multi-factor fusion correction

A technology of life prediction and structural parts, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of narrow application range and the inability to guarantee the accuracy of fatigue life estimation, and achieve accurate and effective prediction and the accuracy of prediction results Improved effect

Active Publication Date: 2015-07-29
SOUTHEAST UNIV
View PDF6 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These existing prediction techniques mainly have the following deficiencies: (1) Most of the stress field strength method and critical distance method are only for planar structures, and few structural parts are used as analysis objects. (2) For the traditional nominal stress method, Due to the difference in fatigue performance parameters between structural parts and material samples, the estimation accuracy of fatigue life cannot be guaranteed
(3) The estimation accuracy of the local stress-strain method is high, but its applicability is narrow

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
  • Structural part remaining life predicting method based on multi-factor fusion correction
  • Structural part remaining life predicting method based on multi-factor fusion correction
  • Structural part remaining life predicting method based on multi-factor fusion correction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] see figure 1 As shown, the present invention discloses a crack propagation prediction method for structural parts based on multi-factor fusion correction.

[0024] The method includes the following steps:

[0025] A method for predicting the remaining life of structural parts based on multi-factor fusion correction, characterized in that the method includes the following steps:

[0026] S1. Calculation of member stress intensity

[0027] Establish the 3D model of the analysis component according to the drawings, import the established 3D model into the finite element software, and complete the pre-processing of the finite element analysis of the component according to the steps of grid division, constraint setting, and load application. After the pre-processing is completed, the limited application Meta-analysis software analyzes its stress intensity to obtain its stress state distribution;

[0028] S2. Measurement and correction of residual stress

[0029] Measure ...

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 discloses a structural part remaining life predicting method based on multi-factor fusion correction. By taking multiple factors influencing the structural part remaining life into account, the structural part remaining life predicting method comprises the following steps: measuring and correcting stress intensity and residual stress of a structural part, calculating stress ratio, calculating size correcting parameters, selecting stress concentration correcting parameters and surface manufacturing quality correcting parameters, and the like. By the structural part remaining life predicting method, the accuracy of a prediction result is greatly improved, so that accurate and effective prediction of the structural part remaining life is achieved.

Description

technical field [0001] The invention belongs to the field of mechanical detection, in particular to a method for predicting the crack growth of structural parts. Background technique [0002] With the progress of society, a large number of equipment are developing in the direction of large-scale. Under such a background, tiny failures will cause huge losses, so it is necessary and urgent to predict the remaining life of equipment or components. With the development of science and technology, people have a deeper understanding of the subject of fatigue, and a series of fatigue life prediction methods have been widely used: such as nominal stress method, local stress-strain method, critical region method, etc. The critical area method is a kind of fatigue life estimation method with engineering application prospect. The stress field strength method and the critical distance method, as two common methods in the critical area method, have been applied in some cases. In engine...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 贾民平朱林许飞云胡建中黄鹏
Owner SOUTHEAST 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