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首页> 外文会议>SAE World Congress, Detroit >Bending fatigue of carburized steels: A statistical analysis of process and microstructural parameters
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Bending fatigue of carburized steels: A statistical analysis of process and microstructural parameters

机译：渗碳钢的弯曲疲劳：过程和微观结构参数的统计分析

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A large set of bending fatigue data on carburized steels has been statistically analyzed to quantitatively describe the effects of process and microstructural variables. Increasing demands on gear steels require a broad examination of past bending fatigue research to reveal the primary factors that determine fatigue performance and guide future gear steel design. Fatigue performance was correlated to specimen characteristics such as retained austenite content, case and core grain size, extent of intergranular oxidation, surface roughness, and the case profiles of residual stress, hardness, and carbon content. Prior austenite grain size in the case and surface residual stress were found to most strongly influence bending fatigue endurance limit. A multiple regression model to predict endurance limit achieved an R-squared value of 0.56. Fatigue performance as measured by the high-stress portion of the S-N curve showed significant correlations to surface residual stress and endurance limit; however, a satisfactory regression model could not be constructed. Case grain refinement was most effectively achieved through reheat treatments, while shot peening was found to be the only means to significantly increase compressive surface residual stresses.
机译：在统计上分析了碳钢钢上的大量弯曲疲劳数据，以定量描述过程和微观结构变量的影响。随着齿轮钢的需求越来越大需要广泛检查过去的弯曲疲劳研究，以揭示决定疲劳性能和导游未来齿轮设计的主要因素。疲劳性能与试样特征相关，如保留的奥氏体含量，壳体和核心粒度，晶间氧化程度，表面粗糙度以及残余应力，硬度和碳含量的情况。在壳体和表面残余应激中发现之前的奥氏体晶粒尺寸最强烈影响弯曲疲劳耐久性极限。一种预测耐久极限的多元回归模型实现了0.56的R线值。由S-N曲线的高应力部分测量的疲劳性能显示出与表面残余应力和耐久极限的显着相关性;但是，无法构建令人满意的回归模型。通过再热处理最有效地实现粒子细化，而射击喷丸则被发现是显着增加压缩表面残余应力的唯一方法。

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