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Method for rapidly and nondestructively prediction of residual strength and residual lifetime

A high-strength and fast technology, applied in the direction of strength characteristics, measuring devices, instruments, etc., can solve the problems of the prediction of the remaining strength and remaining life of parts being too safe, not considering small loads, etc., and achieve fast and non-destructive prediction of the remaining fatigue life Effect

Inactive Publication Date: 2008-07-30
UNIV OF SHANGHAI FOR SCI & TECH
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  • Abstract
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AI Technical Summary

Problems solved by technology

If the traditional fatigue theory is still used and the strengthening of small loads is not considered, the prediction of the remaining strength and remaining life of the parts is often on the safe side

Method used

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Embodiment Construction

[0013] The present invention will be further explained below in conjunction with specific examples.

[0014] Taking the constant amplitude strengthening load spectrum of No. 20 steel material sample as an example, the rapid and non-destructive prediction method of residual strength and residual fatigue life is as follows:

[0015] The steps for fast and non-destructive prediction of remaining strength and remaining fatigue life are:

[0016] (1) Measure the stress-life curve of the material, that is, the S-N curve;

[0017] (2) Measure the surface hardness change and residual strength of the material in different strengthening processes, analyze and establish the correspondence between the surface hardness change and residual strength of the material or part in strengthening, damage, and strengthening random loads with small loads through test data ;

[0018] (3) Surface hardness measurement under different strengthening times, and rapid and non-destructive prediction of residual ...

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Abstract

The invention discloses a method for predicting the residual intensity and the residual service life rapidly and intactly, comprising the following steps that: firstly, the stress-service life curve of a material or a part, i.e. the S-N curve, is measured; secondly, the corresponding relation between the surface hardness and the residual intensity of the material or the part under a random load spectrum of reinforcing, damaging and considering small load strengthening is established; thirdly, the surface hardness in the process of using the material or the part is measured, according to the corresponding relation between the surface hardness and the residual intensity of the material or the part, the residual intensity of the material or the part is predicted rapidly and intactly; forthly, the residual service life of the material or the part under the different load spectrum is predicted rapidly and intactly by adopting the predicted residual intensity and the stress-service life curve of the material or the part, that is the S-N curve. The rapid and intact prediction of the residual intensity and the residual service life of the material or the part can be realized by the simple measurement of the surface hardness by adopting the method.

Description

Technical field [0001] The invention relates to a rapid and non-destructive prediction method for residual strength and residual life, in particular to a rapid and non-destructive prediction method for residual strength and residual fatigue life based on surface hardness. The applicable field is that the tensile strength is between 200MPa and 2300MPa , Including the rapid and non-destructive prediction of the residual strength and residual fatigue life in the random load spectrum, including the strengthening and damage of steel materials or parts that have undergone process strengthening treatment and not undergoing process strengthening treatment. Background technique [0002] For a long time, a lot of work has been done to predict the remaining strength and remaining fatigue life of steel materials or parts at home and abroad, and a variety of methods for predicting the remaining strength and remaining fatigue life of steel materials or parts have been obtained. However, the ex...

Claims

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Application Information

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IPC IPC(8): G01N3/00
Inventor 卢曦郑松林
Owner UNIV OF SHANGHAI FOR SCI & TECH
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