A processing method for high temperature and high cycle fatigue performance data of materials

Abstract

The invention is a processing method for high-temperature and high-cycle fatigue performance data of materials. The processing method can effectively process high-temperature and high-cycle fatigue performance data under multi-temperature conditions. Aiming at high-cycle fatigue performance data under various temperature conditions, the proposed The temperature-dependent high-cycle fatigue regression model and its regression calculation method can establish a unified high-cycle fatigue performance characterization equation under multiple temperatures, and can effectively realize the prediction of high-cycle fatigue performance under the influence of multiple temperatures. It has important application value to predict the fatigue life of materials under high temperature and high cycle.

Description

technical field [0001] The invention relates to a processing method for high-temperature and high-cycle fatigue performance data of materials, and belongs to the technical field of mechanical performance testing and characterization. Background technique [0002] High cycle fatigue failure is a common failure mode in engineering materials. Carrying out high-cycle fatigue performance testing for engineering materials is of great significance for the design and life prediction of engineering structural parts. For typical materials of engine hot end parts such as superalloys, since their main service environment is high temperature environment, and they will experience multiple different high temperatures during service, it is necessary to carry out high cycle fatigue performance under different temperature conditions for superalloys. Experiments are of great significance. [0003] At present, the influence of various temperatures needs to be considered in the research proces...

AI Technical Summary

Problems solved by technology

Compared with the high-cycle fatigue test at room temperature, since the high-temperature high-cycle fatigue test needs to consider additional heating and temperature control systems, the test time and economic cost are significantly higher, which will lead to the following two problems: On the one hand, because the test The number of temperature points is often very limited, and the performance data under each temperature condition can only be obtained through a separate regression calculation to obtain the fitting equation. The calculated data is obtained by interpolation or extrapolation, and the prediction accuracy is difficult to be reliably guaranteed

On the other hand, the number of samples under each temperature condition for high temperature and high cycle fatigue is difficult to ensure sufficient, thus affecting the regression calculation accuracy of high cycle fatigue performance data under each temperature condition

Images