Reduced-Order Constitutive Modeling of Directionally Solidified Ni-Base Superalloys
Source abstract
Abstract
Temperature-dependent crystal viscoplasticity models are ideal for modeling large-grained, directionally solidified Ni-base superalloys but are computationally expensive. This work explores the use of reduced-order models that are potentially more efficient with similar predictive capability of capturing temperature and orientation dependence. First, a transversely isotropic viscoplasticity model is calibrated to a directionally solidified Ni-base superalloy using the response predicted by a crystal viscoplasticity model. The unified macroscale model is capable of capturing isothermal and thermomechanical responses in addition to secondary creep behavior over the temperature range of 20–1050 °C. A second approach is an extreme reduced-order microstructure-sensitive constitutive model that uses an artificial neural network to provide a set of parameters that depend on orientation, temperature, and strain rate to give a first-order approximation of the material response using a simple constitutive model. This simple relationship is then used in a Neuber-type fatigue notch analysis to predict the local response.
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Research context
OpenAlex topics: High Temperature Alloys and Creep · Metallurgy and Material Forming · Microstructure and Mechanical Properties of Steels
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332
Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332 e-mail:
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