Abstract

In this paper, a high-temperature low-cycle fatigue life prediction model, based on the total strain energy density method, was established. Considering the influence of the Masing and non-Masing behavior of materials on life prediction, a new life prediction model was obtained by modifying the existing prediction model. With an 800H alloy of the heat transfer tube of a steam generator as the research object, the high-temperature and low-cycle fatigue test was carried out at two temperatures. The results show that the predicted and experimental results are in good agreement, proving the validity of the life prediction model.

Highlights

  • Life prediction is an important process that needs to be considered when using metal materials.It can effectively avoid catastrophic failures in nuclear power plants, pipeline systems, offshore platforms, petrochemicals, the aerospace industry, and other related structures

  • Rao Jin [8], through transformation of the load spectrum based on the linear cumulative damage theory, proposed a functional relationship between the load-holding time and lifetime

  • °C.life prediction model was verified based on the data of low-cycle fatigue testing at 675 ◦ C and 750 ◦ C

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Summary

Introduction

Life prediction is an important process that needs to be considered when using metal materials. Runzi Wang [10,11], based on the linear cumulative damage rule, combined with the time fraction method and the plastic exhaustion method, obtained a new strain energy density depletion model by substituting the strain energy constitutive equation. Incoloy alloy has excellent high-temperature mechanics, corrosion resistance, and oxidation resistance It is often used in the petrochemical and nuclear power industries, especially for heat transfer tubes in nuclear power plant steam generators. It is necessary to study the high-temperature and low-cycle fatigue life of Incoloy alloy. Based on was the total strain The energy density of method, low-cycle fatigue lifefatigue prediction model for alloy. °C.life prediction model was verified based on the data of low-cycle fatigue testing at 675 ◦ C and 750 ◦ C

Experiment Material and Method
Method
Life Prediction Model
Hysteresis
Life Prediction Result
Conclusions
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