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Experimental and Simulation Study of the Effect of Precipitation Distribution and Grain Size on the AD730 Ni-Based Polycrystalline Superalloy Tensile Behavior

机译:沉淀分布与粒度效果对AD730 Ni的多晶超合金拉伸行为的实验和仿真研究

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The mechanical properties of nickel-based superalloys depend strongly on their microstructure, namely the grain size and the state of precipitation. Main design criteria in aeronautical turbine disks are the resistance to disk burst and low cycle fatigue in the bore, but also to creep in the rim part due to higher temperatures. The chosen microstructures result from a compromise between these contradictory requirements. Indeed, creep durability is improved using a coarse grain microstructure while the increase of static and fatigue strength requires a fine grain microstructure. Moreover, the volume fraction and the size distribution of γ' precipitates are the predominant parameters controlling mechanical properties at lower temperatures. A spatial optimization of the microstructure is reachable using specific technologies, e.g. dual-microstructure heat treatment. The development of microstructure-sensitive models is thus a major concern for the optimal design of these components including gradient of grain size and/or precipitate size. Full-field finite element simulations may be employed to predict the macroscopic behavior of polycrystalline aggregates using crystal plasticity constitutive equations whose parameters depend explicitly on the microstructural attributes. In this framework, the present study is devoted to the evaluation of the yield stress of polycrystalline AD730 nickel-based superalloy, chosen as a model material. This work includes microstructural characterization and mechanical tests carried out on single crystals and polycrystalline specimens with well-controlled microstructures. Predictions of the macroscopic yield stress are provided by preliminary simulations carried out in the elastic regime combined with a specific post-processing.
机译:镍基超合金的机械性能强烈地依赖于它们的微观结构,即晶粒尺寸和沉淀状态。航空涡轮机磁盘的主要设计标准是对磁盘突发和孔中的低循环疲劳的抵抗力,而且由于较高的温度,也蠕变在轮辋部分中。所选择的微观结构由这些矛盾要求之间的折衷产生。实际上,使用粗粒微观结构改善蠕变耐久性,而静态和疲劳强度的增加需要细粒微观结构。此外,γ'沉淀物的体积分数和尺寸分布是控制在较低温度下机械性能的主要参数。使用特定技术,可以通过特定技术进行微观结构的空间优化。双微观结构热处理。因此,显微结构敏感模型的发展是这些组分的最佳设计的主要问题,包括粒度和/或沉淀尺寸的梯度。可以采用全场有限元模拟来预测使用晶体塑性本构方程的多晶聚集体的宏观行为,其参数在显式上显式取决于微结构属性。在该框架中,本研究致力于评估多晶AD730镍基超合金的屈服应力,选择为模型材料。这项工作包括在单晶和具有良好控制的微结构的单晶和多晶样品上进行的微观结构表征和机械测试。通过在弹性调节中结合的特定后处理中的初步模拟提供宏观屈服应力的预测。

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