基于内部失效机理预测评估渗碳<strong>Cr-Ni</strong>齿轮钢的超高周疲劳强度

doi:10.11901/1005.3093.2021.528

材料研究学报

2023, Vol. 37

Issue (1): 55-64 DOI: 10.11901/1005.3093.2021.528

研究论文

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基于内部失效机理预测评估渗碳Cr-Ni齿轮钢的超高周疲劳强度

邓海龙¹^,²(

), 刘兵¹, 郭扬¹, 康贺铭¹, 李明凯¹, 李永平¹

^1.内蒙古工业大学机械工程学院呼和浩特 010051
^2.内蒙古工业大学内蒙古自治区先进制造技术重点实验室呼和浩特 010051

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

DENG Hailong¹^,²(

), LIU Bing¹, GUO Yang¹, KANG Heming¹, LI Mingkai¹, LI Yongping¹

^1.School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
^2.Key Laboratory of Inner Mongolia for Advanced Manufacturing Technology, Inner Mongolia University of Technology, Hohhot 010051, China

引用本文:

邓海龙, 刘兵, 郭扬, 康贺铭, 李明凯, 李永平. 基于内部失效机理预测评估渗碳Cr-Ni齿轮钢的超高周疲劳强度[J]. 材料研究学报, 2023, 37(1): 55-64.
Hailong DENG, Bing LIU, Yang GUO, Heming KANG, Mingkai LI, Yongping LI. Prediction and Evaluation of Very-high Cycle Fatigue Strength of Carburized Cr-Ni Gear Steel Based on Interior Failure Mechanism[J]. Chinese Journal of Materials Research, 2023, 37(1): 55-64.

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摘要:

对渗碳Cr-Ni齿轮钢进行应力比为0和0.3的室温超高周疲劳实验，观测试样中诱发裂纹萌生的夹杂和疲劳断口形貌，以全面评估渗碳Cr-Ni齿轮钢疲劳性能。将疲劳失效模式分为有细颗粒区(Fine granular area，FGA)的内部疲劳失效和有表面光滑区(Surface smooth area, SSA)的表面疲劳失效，并阐明了渗碳Cr-Ni齿轮钢的超高周内部疲劳破坏机制。基于累积损伤和位错能量法并结合细颗粒区形成机理和夹杂的最大评估尺寸，分别构建了两种渗碳Cr-Ni齿轮钢内部疲劳强度的预测模型。利用FGA尺寸与夹杂尺寸的比值和夹杂应力强度因子及应力比之间的关系，修正所提出的两种疲劳强度预测模型并给出了最大夹杂尺寸下的l_FGA-S-N曲线。结果表明，基于累积损伤法和位错能量法分别构建的疲劳强度预测模型都可用于预测评估渗碳Cr-Ni齿轮钢在多种应力比下的内部疲劳强度，基于位错能量法的强度预测模型精度较高。

关键词 ：金属材料, FGA尺寸评估, 失效机理, 累积损伤, 位错能量法, 疲劳强度预测

Abstract：

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 l_FGA-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.

Key words： metallic materials FGA size evaluation failure mechanism cumulative damage dislocation energy method fatigue strength predictio

收稿日期: 2021-09-13

ZTFLH:

TG111.8

基金资助:内蒙古自治区自然科学基金(2022MS05014);内蒙古自治区自然科学基金(2021LHMS05009);内蒙古高等教育研究项目(NJZY21306);内蒙古自治区区直属高校基本科研业务费项目(JY20220233);内蒙古工业大学科学研究项目(ZY202005)

作者简介: 邓海龙，男，1986年生，博士

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表1 齿轮钢的化学成分

图1 渗碳Cr-Ni齿轮钢的微观组织

图2 微观硬度和残余应力与深度的关系

图3 应力比为0和0.3时渗碳Cr-Ni齿轮钢的S-N曲线

图4 典型断口表面的形貌

图5 夹杂距离表面的深度

图6 裂纹特征尺寸与σa的关系

图7 RFGA/Rinc与1/ΔKinc2的关系

图8 内部失效机理

图9 σb/(σmax+σr)+lg(lg(RFGA/Rinc))与lgNf的关系

图10 基于GPD函数建立的lFGA-S-N曲线

表2 GPD函数下对最大夹杂尺寸时疲劳强度的评估

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