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Meeting 2018 TMS Annual Meeting & Exhibition
Symposium Integrative Materials Design III: Performance and Sustainability
Presentation Title Microstructure-sensitive Models for Predicting Near Surface Residual Stress Redistribution in P/M Nickel-base Superalloys
Author(s) Micheal Eric Burba, Dennis Buchanan, Michael Caton, Reji John, Robert Brockman
On-Site Speaker (Planned) Micheal Eric Burba
Abstract Scope Compressive surface residual stresses achieved by mechanical surface treatments typically extend component life under fatigue loading. Designers are unable to include this surface residual stress benefit in design life predictions due to the absence of detailed and accurate models of the behavior, and to the uncertainty of residual stress profiles that exist both before and after service. The current study combines observations from microstructural characterization and mechanical testing with the development of numerical models to predict surface residual stress relaxation following exposure to load and temperature. The grain size and γ' precipitate distributions are quantified for two different IN100 microstructures, and experimental measurements of the yield strength and creep behavior are obtained. The resulting numerical model accurately predicts relaxation of engineered residual stresses under expected service conditions, using only data from standard mechanical tests and microstructural characterization methods, thereby enabling favorable residual stresses to be considered in the design process.
Proceedings Inclusion? Planned: Supplemental Proceedings volume

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