Multiscale microstructure modelling for nickel based superalloys
Multiscale microstructure modelling for nickel based superalloys
复制标题
镍基高温合金的多尺度微观结构建模
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
I. D. Martino
中科院分区：
文献类型：
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作者：
H. Basoalto;Jeffery Brooks;I. D. Martino
本论文关注的是多尺度建模方法的发展，用于预测高温合金的微观组织演变和高温变形特性，特别关注蠕变和热成形行为。一个微观结构通知变形模型，链接重排在微观尺度上的整体宏观响应的材料，通过损伤力学方法和结果上的应用模型CMSX 4。在镍基高温合金部件的制造过程中，微观结构的控制是开发这些材料典型的高温应用所需的机械性能的关键。从经验的方法和一个新的物理为基础的方法来模拟多晶高温合金中的再结晶的结果，提出了在Inconel合金718的热成形操作过程中产生的晶粒尺寸分布的预测。本文提出了一种基于神经网络的全局宏观建模方法，该方法包括成分、热处理和工艺路线的影响，并证明了该模型对性能预测和插值的有效性。
The present paper is concerned with the development of multiscale modelling approaches for predicting the microstructural evolution and high temperature deformation characteristics of superalloys with special attention to creep and hot forming behaviour. A microstructure informed deformation model is presented that links rearrangements at the microscale to the overall macroscopic response of the material through a damage mechanics approach and results are presented on the application of the model to CMSX4. The control of microstructure, during the manufacture of nickel based superalloy components, is key to the development of the mechanical properties required for the high temperature applications typical of these materials. Results from empirical methods and a new physics based approach for modelling recrystallisation in polycrystalline superalloys are presented for the prediction of the grain size distributions produced during hot forming operations in Inconel alloy 718. A global macroscale modelling approach based on Neural Networks has been developed which includes the effects of composition, heat treatment and processing route and the effectiveness of the model for both property prediction and interpolation is demonstrated.