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Towards the full field modeling and simulation of annealing twins using a Finite Element Level Set method

Abstract : The design of nickel based superalloy disks in an industrial setting is a stringent process which must produce critical components of the aircraft engine. Improving these components is no small feat given the extreme mechanical and thermalconstraints endured by these types of parts. One of the most important aspects of the design is the microstructure of the unerlying material. As such, the engineers who design these machines have a specific need for models capable of predicting microstructural evolution in metallic materials during the forging process. This work aims to improve on the existing Level Set Finite Element framework for microstructural evolution by including enriched descriptions of grain boundaries. These enriched characterizations are needed in order to take into account special boundaries - such as the twin boundary - which can be observed in great number in forged superalloys. This effort is concentrated on integrating arbitrary values for the grain boundary energy density into the numerical models.This enhancement of the model lies not only in the numerical aspects but also in the underlying mathematical formulation. By including supplemental terms in the expression of the velocity of a migrating grain boundary, this investigation has found, using analytical and non-analytical benchmarks, that the new approach is able to take into account a host of phenomena. Evidence of both orientation pinning and torque applied to triple junctions has been found in virtually annealed polycrystals. Also, the model has proven to be more capable of taking into account the singular behavior of the twin boundary then previous iterations of the method
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Submitted on : Friday, November 13, 2020 - 1:50:08 PM
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  • HAL Id : tel-03003852, version 1


Julien Fausty. Towards the full field modeling and simulation of annealing twins using a Finite Element Level Set method. Mechanics of materials [physics.class-ph]. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLM022⟩. ⟨tel-03003852⟩



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