Part service life prediction method comprehensively considering fatigue strength influence factors

A fatigue strength factor and fatigue strength technology, applied in the field of fatigue strength, can solve the problem of difficulty in obtaining size coefficient and surface coefficient, and achieve the effect of reducing design cost and time and simplifying the design process.

Active Publication Date: 2019-04-16
BEIJING UNIV OF TECH
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Problems solved by technology

However, the size factor and surface fac

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  • Part service life prediction method comprehensively considering fatigue strength influence factors
  • Part service life prediction method comprehensively considering fatigue strength influence factors
  • Part service life prediction method comprehensively considering fatigue strength influence factors

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Embodiment Construction

[0037] The present invention is illustrated in conjunction with the accompanying drawings.

[0038] The present invention is further illustrated by performing life prediction on a cyclically loaded complex helical spring.

[0039] The geometry of the helical spring is as figure 1 As shown, the material is 60Si2CrVA.

[0040] The loading parameters and fatigue life of the bench fatigue test of the coil spring are shown in Table 1.

[0041] Table 1 Loading parameters and fatigue life of bench fatigue test

[0042]

[0043] A component life prediction method that comprehensively considers factors affecting fatigue strength, characterized in that: the implementation steps of the method are as follows:

[0044] Step (1): Use the finite element method to conduct a static analysis of the component structure to determine the location of the key dangerous point where the component is weak;

[0045] A compressive displacement load of 86 mm is applied to the coil spring, and its s...

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Abstract

The invention discloses a part service life prediction method comprehensively considering fatigue strength influence factors, and relates to the field of fatigue strength design, and the method comprises the following steps: (1) carrying out static analysis on a part structure by utilizing a finite element method, and determining a key dangerous point position with weak strength; (2) simulating acyclic load borne by the part, and obtaining a stress response process at a dangerous point; (3) calculating stress amplitude and average stress as damage parameters; (4) carrying out average stress correction by utilizing a Goodman equation; (5) determining a comprehensive fatigue strength factor; (6) predicting the fatigue life of the part; and (7) accumulating the fatigue damage of the materialby utilizing a Miner theorem, and when the fatigue damage of the material reaches 1, enabling the parts to fail. According to the method, the comprehensive fatigue strength factor is utilized to comprehensively consider the influence of the size and the surface state on the fatigue strength, the huge test amount for determining the size coefficient and the surface state coefficient can be avoided, and the design cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of fatigue strength, and in particular relates to a component life prediction method which comprehensively considers factors affecting fatigue strength. Background technique [0002] Fatigue refers to the phenomenon of sudden brittle fracture of materials, parts or components under cyclic loading after a period of time. According to statistics, more than 80% of the failures of mechanical parts belong to fatigue damage, and there is no obvious deformation before fatigue damage, so fatigue damage often causes major accidents. [0003] For parts or components subjected to cyclic loading, it is necessary to determine their reasonable structure and size based on fatigue strength theory and fatigue test data. The fatigue strength design method is also an important part of the modern mechanical design method. The fatigue strength is determined by the local stress state of the part and the fatigue performance of t...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/17G06F2119/04G06F2119/06G06F30/23
Inventor 尚德广李道航李罗金刘鹏程王灵婉崔进
Owner BEIJING UNIV OF TECH
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