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A mechanistic and stochastic approach to fatigue crack nucleation in coarse grain RR1000 using local stored energy

机译:局部储存能量粗晶RR1000疲劳裂纹成核的机械与随机方法

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The crystal plasticity finite element (CPFE) method is used in conjunction with a critical local stored energy criterion to predict crack nucleation life for Coarse Grain (CG) nickel superalloy RR1000. Artificial representative microstructures are generated using Dream3D, and through simulation of multiple microstructural instantiations, a distribution of simulated fatigue response is generated. Fatigue of CG RR1000 is studied at 300°C and 700°C and at two R ratios of R = 0.1 and R = -1 giving a range of conditions to test the stored energy method. At higher temperature failure frequently occurs from inclusions, these are represented in the model by adding an inclusion with cohesive zones between inclusion and matrix. The results at 300°C are very good with the one parameter model (the critical stored energy) able to predict the mean, slope and distribution of fatigue data. At 700°C, the results are also good; however, fatigue life at high strain amplitude is overpredicted.
机译:结晶塑性有限元(CPFE)方法与关键局部存储的能量标准结合使用,以预测粗粒(CG)镍高温合金RR1000的裂纹成核寿命。使用Dream3D产生人造代表性微结构,并通过模拟多种微观结构实例化,产生模拟疲劳响应的分布。 CG R1000的疲劳在300°C和700°C和r = 0.1和r = -1的两个R比中进行研究,得到一系列条件以测试储存的能量法。在较高的温度故障下,通常从夹杂物发生频繁发生,这些通过在夹杂物和基质之间加入包含粘性区域的包涵体来表示在模型中。 300°C的结果非常好,具有能够预测疲劳数据的平均值,坡度和分布的一个参数模型(临界存储的能量)非常好。在700°C时,结果也很好;然而,高应变幅度处的疲劳寿命过于预测。

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