首页> 外文会议>International Conference on Very High Cycle Fatigue >DEVELOPMENT OF A PROBABILISTIC MODEL FOR THE PREDICTION OF FATIGUE LIFE IN THE VERY HIGH CYCLE FATIGUE (VHCF) RANGE BASED ON MICROSTRUCTURAL PROPERTIES
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DEVELOPMENT OF A PROBABILISTIC MODEL FOR THE PREDICTION OF FATIGUE LIFE IN THE VERY HIGH CYCLE FATIGUE (VHCF) RANGE BASED ON MICROSTRUCTURAL PROPERTIES

机译:基于微结构性能的高循环疲劳(VHCF)范围预测疲劳寿命概率模型的发展

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Numerous investigations indicate a strong influence of microstructural inhomogeneities on the fatigue life of components subjected to more than 10 Mio loading cycles. This influence has a probabilistic character and increases the scatter band width up to three decades for the SN-curve. Thus, the application of a reliable fatigue life prediction concept by means of traditional statistical approaches is impeded and a detailed investigation of the relevant fatigue damage mechanisms is required. The aim of the present work is the development of a prediction model taking microstructural properties of failure-relevant defects or inhomogeneities and corresponding fatigue behaviour into account. For this purpose the fatigue behaviour of different metallic materials showing crack initiation at different defect types was investigated and modelled based on metallographic observations. In case of the nickel-based superalloy Nimonic 80A twin boundaries as well as regular grain boundaries with high misorientation factors were identified as crack initiation sites. In the case of the metastable austenitic stainless steel AISI 304 cracks initiated primarily from non-metallic inclusions provided the deformation-induced martensite volume fraction exceeded 30%. Based on a comprehensive experimental database, the observed correlation between failure-relevant parameters and corresponding numbers of cycles until failure or crack initiation was modelled.
机译:许多研究表明微观结构不均匀性对经受超过10mIO装载循环的组分的疲劳寿命的强烈影响。这种影响有一个概率的性格,并且对于SN曲线增加了三十年的散射带宽。因此,阻碍了通过传统的统计方法应用可靠的疲劳寿命预测概念,并且需要详细研究相关疲劳损坏机制。本作工作的目的是开发一种预测模型,以考虑失败相关缺陷或不均匀性的微观结构性质以及对应的疲劳行为。为此目的,研究了显示不同缺陷类型的裂纹引发的不同金属材料的疲劳行为并基于金相观察模拟。在基于镍的超合金弯曲的80A双界面以及具有高错位因子的常规晶界的情况下被鉴定为裂纹引发位点。在亚稳态奥氏体不锈钢AISI 304的情况下,主要来自非金属夹杂物的裂缝提供了变形诱导的马氏体体积分数超过30%。基于全面的实验数据库,观察到的失败相关参数与相应数量的循环之间的相关性,直到模型失败或破裂启动。

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