Prediction and Evaluation of Very-high Cycle Fatigue Strength of Carburized Cr-Ni Gear Steel Based on Interior Failure Mechanism

被引:0
作者
Deng H. [1 ,2 ]
Liu B. [1 ]
Guo Y. [1 ]
Kang H. [1 ]
Li M. [1 ]
Li Y. [1 ]
机构
[1] School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot
[2] Key Laboratory of Inner Mongolia for Advanced Manufacturing Technology, Inner Mongolia University of Technology, Hohhot
来源
Cailiao Yanjiu Xuebao/Chinese Journal of Materials Research | 2023年 / 37卷 / 01期
关键词
cumulative damage; dislocation energy method; failure mechanism; fatigue strength predictio; FGA size evaluation; metallic materials;
D O I
10.11901/1005.3093.2021.528
中图分类号
学科分类号
摘要
To evaluate the fatigue properties of carburized Cr-Ni gear steel, very high cycle fatigue tests were carried out at room temperature by stress ratios of 0 and 0.3. The fatigue failure modes of carburized Cr-Ni gear steel can be differentiated into interior fatigue failure with fine granular area (FGA) and surface fatigue failure with surface smooth area (SSA). According to the observation results of sites of inclusions and fatigue fracture morphology of the tested steels, therewith the interior very high cycle fatigue failure mechanism is clarified. Based on the cumulative damage method and the dislocation energy method, two kinds of interior fatigue strength prediction models for carburized Cr-Ni gear steels were established by taking the formation mechanism of fine granular area and the evaluated maximum size of inclusions into consideration. Based on the relationships between the relative size of FGA and the stress intensity factor of inclusion and stress ratio, the two fatigue strength prediction models were further modified, and the lFGA-S-N curves for the maximum size of inclusions was given. The results show that the fatigue strength prediction model based on the cumulative damage method and the dislocation energy method can be used to evaluate the interior fatigue strength of carburized Cr-Ni gear steel by various stress ratios, however the prediction accuracy of the model based on the dislocation energy method is higher. © 2023 Chinese Journal of Materials Research. All rights reserved.
引用
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页码:55 / 64
页数:9
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