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

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 simplemeasurement of the surface hardness by adopting the method.

Description

technical field [0001] The present invention relates to a non-destructive prediction method of remaining strength and remaining life, in particular to a non-destructive prediction method of remaining strength and remaining fatigue life based on surface hardness. Fast, non-destructive prediction of process hardening, strengthening of non-process hardened steel materials or components, damage, and residual strength and remaining fatigue life in a random load spectrum. Background technique [0002] For a long time, a lot of work has been done on the prediction of 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 existing methods do not consider the strengthening of small loads below the fatigue limit during use, but only consider the damage caused by the load, and most of them separ...

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