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A Reduced Order Life Prediction Modeling Approach for Materials under Thermomechanical Fatigue

机译:热机械疲劳下材料的减少寿命预测建模方法

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Low alloy steels remain to be the materials of choice for large structural components at elevated temperature for extended periods of time. The material 2.25Cr-lMo is frequently used in boilers, heat exchanger tubes, and throttle valve bodies in both turbomachinery and pressure-vessel/piping applications alike. The resistance of this alloy to deformation and damage under creep and/or fatigue at elevated temperature make it suitable for components expected to endure decades of service. In the present work, a life prediction approach is developed for cases where the material is experiencing conditions where creep and fatigue exist. Parameters for the approach are based on regression fits in comparison with a broad collection experimental data. The data are comprised of low cycle fatigue (LCF) and creep fatigue (CF) experiments. The form of the life prediction model follows the cumulative damage approach where dominant damage maps can be used to identify primary microstructural mechanism associated with failure. The total damage is divided between three different modules in this approach: fatigue, creep, and environmental fatigue. Life calculations are facilitated by the usage of a non-interacting creep-plasticity constitutive model capable of representing not only the temperature- and rate-dependence, but also the history-dependence of the material.
机译:低合金钢仍然是大型结构部件在升高的时间内延长时间的选择材料。 2.25Cr-LMO经常用于锅炉,热交​​换器管和涡轮机械和压力容器/管道应用中的节流阀体。这种合金对蠕变和/或疲劳在升高的蠕变和/或疲劳下的阻力使其适用于预期的成分来忍受数十年的服务。在本作工作中,为材料在存在蠕变和疲劳的情况的情况下开发了寿命预测方法。与广泛的集合实验数据相比,该方法的参数基于回归拟合。数据由低循环疲劳(LCF)和蠕变疲劳(CF)实验组成。寿命预测模型的形式遵循累积损伤方法,其中主要损坏图可用于识别与故障相关的主显微结构机制。在这种方法中,总损坏分为三种不同的模块:疲劳,蠕变和环境疲劳。通过使用能够代表温度和速率依赖性的非相互作用的蠕变塑性本构模型,还促进了寿命计算。

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