Accession Number:

ADA470002

Title:

Microstructure-Sensitive Notch Root Analysis for Ni-Base Superalloys (Preprint)

Descriptive Note:

Journal article preprint

Corporate Author:

GEORGIA INST OF TECH ATLANTA SCHOOL OF MATERIALS SCIENCE AND ENGINEERING

Report Date:

2007-05-01

Pagination or Media Count:

26.0

Abstract:

Macroscopic viscoplastic constitutive models for y-y Ni-base superalloys typically do not contain an explicit dependence on the underlying microstructure. Microstructure dependent models are of interest since the sizes, volume fractions, and morphologies of primary, secondary, and tertiary precipitates can substantially affect the stress-strain response. The principle microstructural features that can significantly affect the stress-strain response of y-y Ni-base superalloys are the grain size and precipitate volume fraction and size distributions. An Artificial Neural Network ANN is used to correlate the material parameters in an internal state variable cyclic viscoplasticity model with these microstructure plasticity calculations performed on other microstructures within the range characterized experimentally. The trained model is applied to an example of component notch root analyses to explore the potential impact of microstructure-sensitive constitutive models in fatigue design of structures.

Subject Categories:

  • Properties of Metals and Alloys

Distribution Statement:

APPROVED FOR PUBLIC RELEASE