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Workpiece fatigue life prediction method and system considering three-dimensional rough surface topography

A fatigue life prediction, rough surface technology, applied in image data processing, special data processing applications, instruments, etc., can solve the problem that the simplified model cannot reflect the surface topography characteristics, affect the accuracy of the prediction results, etc., to improve the accuracy and Accurate, easy to calculate, based on sound scientific effects

Active Publication Date: 2017-12-01
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The simplified model based on statistical parameters is difficult to reflect the actual surface topography characteristics, which greatly affects the accuracy of the prediction results

Method used

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  • Workpiece fatigue life prediction method and system considering three-dimensional rough surface topography
  • Workpiece fatigue life prediction method and system considering three-dimensional rough surface topography
  • Workpiece fatigue life prediction method and system considering three-dimensional rough surface topography

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Embodiment 1

[0027] This embodiment discloses a method for predicting the fatigue life of a workpiece considering the three-dimensional rough surface topography, such as figure 1 shown, including:

[0028] Step S1, determining the dangerous area of ​​the workpiece through macroscopic finite element analysis.

[0029] Step S2, obtaining the first surface topography height sequence matrix of the dangerous area.

[0030] In this step, a white light interferometer can be used to obtain the first surface topography height sequence matrix, and the obtained first surface topography height sequence matrix is ​​recorded as: z(m, n), where m and n are respectively the horizontal plane X , the number of distribution points in the Y axis.

[0031] Step S3, performing an interpolation operation on the first surface topography height sequence matrix to obtain a second height sequence matrix.

[0032] Optionally, this step adopts Bezier Curve interpolation. After the difference of the first surface t...

Embodiment 2

[0086] Corresponding to the above method embodiments, this embodiment discloses a fatigue life prediction system that considers the three-dimensional rough surface topography of a workpiece, including:

[0087] The first processing module is used to determine the dangerous area of ​​the workpiece through macroscopic finite element analysis;

[0088] The second processing module is used to obtain the first surface topography height sequence matrix of the dangerous area;

[0089] The third processing module is used to perform an interpolation operation on the first surface topography height sequence matrix to obtain a second height sequence matrix;

[0090] The fourth processing module is used to sort the trough points in each area inside the second height sequence matrix according to the depth, regard the trough as a spherical pit, and use the matrix z(i-1 : i+1, j-1: j+1) The diagonal direction and the midline direction of the area enclosed by the nine points respectively con...

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Abstract

The invention relates to the field of workpiece fatigue life prediction, discloses a workpiece fatigue life prediction method and system considering a three-dimensional rough surface topography, and aims to improve the accuracy of a prediction result. The method comprises the steps of obtaining a first surface topography height sequence matrix of a dangerous region of a workpiece; performing interpolation operation on the first surface topography height sequence matrix to obtain a second height sequence matrix; calculating a curvature radius of a dominant wave valley bottom after interpolation by a three-point common circle method; obtaining characteristic parameters of the corresponding dangerous region; then performing finite element calculation according to the characteristic parameters and a three-dimensional rough surface topography finite element model built based on the second height sequence matrix to obtain a surface topography stress nephogram result; performing post-processing on the stress nephogram to obtain a stress concentration coefficient and a fatigue notch factor; and finally performing prediction on the fatigue life of the workpiece by considering the three-dimensional rough surface topography based on a local stress strain method. Therefore, the accuracy and precision of the prediction result are improved.

Description

technical field [0001] The invention relates to the field of workpiece fatigue life prediction, in particular to a method and system for fatigue life prediction of a workpiece considering three-dimensional rough surface topography. Background technique [0002] The fatigue performance of the workpiece depends on the surface integrity, and it is inaccurate to directly introduce the surface coefficient to consider the influence of the surface. Surface topography is an important parameter in surface integrity; the stress concentration effect produced by the surface topography has an important impact on the fatigue life of the workpiece, and the influence of different surface topography on the fatigue performance of the workpiece is very different. At present, most of the prediction of fatigue life is by taking a large number of samples for experiments, which takes a lot of time and cost, and because of the differences between samples and actual workpieces and working conditions...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06T17/30
CPCG06F30/23G06T17/30
Inventor 唐进元李国文
Owner CENT SOUTH UNIV
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